Fireside Chat with Naval Ravikant & Niklas Anzinger | AI & Technological Progress - Vitalia

Vitalia City
26 Feb 202457:54

Summary

TLDRこのビデオスクリプトでは、テクノロジーの民主化がどのようにして誰もがクリエイターや起業家、科学者になれる可能性を提供しているか、そしてそれが将来にどのような明るい展望をもたらすかについて語られています。スマートな人々がどうして未来に対して懐疑的になりがちなのか、そしてなぜ私たちが楽観的であるべきかについての洞察が共有されています。さらに、イノベーションと自由の重要性、規制による創造性の制限、AIの可能性、そして人間のクリエイティビティの未来についても議論されています。

Takeaways

  • 😀 Nal believes the future is bright due to democratization of technology allowing anyone to create, build companies, and conduct science
  • 😊 He argues that while imaginining downsides is important, it's impossible to predict revolutionary breakthroughs that will better humanity
  • 🧐 Epistemology - having a theory distinguishing truth from falsehoods - makes you smarter by allowing deriving knowledge from first principles
  • 🔬 Decentralized science has always existed, as anyone rigorous and curious can be a scientist; funding can come from wealthy people seeking life extension
  • 😎 True test of intelligence is getting what you want out of life; so wish for the right things and have strong opinions loosely held
  • 🌟 Creativity that generates new knowledge is unique to evolution and humans; AI today recombines things but cannot reason or summarize well
  • 🤔 The hard problem of consciousness remains mysterious - why do we feel experience and awareness versus being philosophical zombies
  • ⏳ Regulation blocks innovation so medical tourism circumvents restrictions, allowing informed risk-taking in search of vitality
  • 🚀 Human social and cultural coordination unlocks potential for innovations to compound and spread quickly
  • 🎉 Nal started Air Chat conversation app to promote free speech and let people worldwide talk to smart people

Q & A

  • テクノロジーの民主化とはどのような意味ですか?

    -テクノロジーの民主化とは、技術が一般の人々に広くアクセス可能になり、誰もがクリエーター、起業家、科学者になる機会を持てる状態を指します。これは、将来がより明るいと考える根拠の一つです。

  • なぜスマートな人々は将来に対して悲観的になりがちなのですか?

    -スマートな人々は様々なダウンサイドシナリオ、つまり物事が悪く進む可能性を想像するのが得意です。これは人間が危険を避けるために進化した結果ですが、過度に悲観的になるとイノベーションの可能性を見過ごすリスクがあります。

  • イノベーションが重要であるとされる理由は何ですか?

    -イノベーションは、新しいアイデアや技術が社会全体に広がり、生活の質を向上させ、経済成長を促進するために不可欠です。イノベーションによって、未来に向けてより良い変化がもたらされると考えられています。

  • 規制がイノベーションに与える負の影響とは何ですか?

    -規制はリスクを取ることを制限するため、イノベーションの障害になることがあります。過剰な規制は新しいアイデアや技術の実験を阻害し、結果として社会全体の進歩を遅らせる可能性があります。

  • フリーな環境がイノベーションにどのように貢献するのですか?

    -フリーな環境では、人々が自由にアイデアを共有し、新しいことに挑戦できます。これにより、創造性が促進され、イノベーションが生まれやすくなります。

  • AI技術が社会にどのようなポジティブな影響を与えると考えられていますか?

    -AI技術は、効率化、新しいサービスや製品の開発、さらには医療や教育など多くの分野での改善に寄与すると考えられています。AIによって、日常生活がより便利で質の高いものになることが期待されています。

  • 生命延長技術が社会にどのような変化をもたらすと予想されていますか?

    -生命延長技術によって、人々の健康寿命が延び、より長く活動的な人生を送ることが可能になると予想されています。これにより、経済や社会構造にも大きな変化が生じる可能性があります。

  • 自動運転技術が都市の構造にどのような影響を与えると考えられていますか?

    -自動運転技術が普及すると、交通の効率化が進み、駐車場の必要性が減少します。これにより、都市空間がより歩行者に優しい設計になるとともに、新たな公共空間の創出が可能になると考えられています。

  • 科学の分野でのイノベーションを加速するためには何が必要ですか?

    -科学のイノベーションを加速するためには、自由な研究環境、適切な資金提供、オープンアクセスの推進、そして異分野間のコラボレーションが必要です。これにより、新しい発見が促され、社会への応用が早まります。

  • 人間のクリエイティビティがAIによってどのように強化されると考えられていますか?

    -AIは人間のクリエイティビティをデータ分析やアイデアの生成、さらにはデザインや芸術など様々な分野でサポートすることができます。これにより、人間はより創造的な活動に集中でき、新しいアイデアや作品を生み出す速度が向上すると考えられています。

Outlines

00:00

🌟テクノロジーの民主化と未来の明るさ

このパラグラフでは、テクノロジーの民主化がどのようにして誰もがクリエイター、起業家、科学者になることを可能にし、未来を明るくしているかについて語られています。スマートな人々が未来に対して懐疑的である理由と、なぜ私たちは楽観的であるべきかについての議論が展開されます。革新と自由が人類の生活を向上させる鍵であるという視点が提示されています。

05:01

🚀イノベーションの障害としての規制

このパラグラフでは、規制がイノベーションにどのように障害となっているかについて詳述しています。医療、ドローン、投資などの分野での規制が新しい治療法や技術の開発を阻害している具体例が挙げられています。解決策として、システムを通じて作業することや、自由な場所での革新の重要性が強調されています。

10:02

🌱バイオテクノロジーとAIの未来

このパラグラフでは、バイオテクノロジーと人工知能(AI)がどのように人類の未来を形作るかについて議論しています。特に、医療におけるAIの利用、自動運転車の進化、およびバイオテクノロジーによる生命延長の可能性に焦点を当てています。人間の創造性がこれらの技術の進化を促進する鍵であると述べられています。

15:04

🧬バイオロジーの理解と生命延長

このパラグラフでは、バイオロジーの理解がどのように生命延長と健康の改善に貢献するかについて論じています。現代医療の限界と、それに対する新しいアプローチの必要性が強調されています。また、自由な実験とリスクテイキングの重要性が生命延長の鍵であると述べられています。

20:05

🔍科学とテクノロジーの哲学

このパラグラフでは、科学とテクノロジーに対する深い哲学的な見解が提供されています。自身の学習と発見への情熱、そして真実を追求する過程での厳密さの重要性について語られています。また、社会的な認識と個人の知識追求のバランスについても議論しています。

25:06

🧠AIの知性と創造性

このパラグラフでは、AIが持つ「知性」についての理解と、それが人間の創造性とどのように異なるかについて探求しています。AIが現在持つ能力とその限界、および将来的にAIが創造性を持つ可能性についての見解が示されています。

Mindmap

Keywords

💡テクノロジーの民主化

テクノロジーの民主化は、科学技術が一部の人々だけでなく、一般の人々にも広く利用されるようになることを意味します。このスクリプトでは、テクノロジーがどのようにして誰もがクリエーター、起業家、科学者になる機会を提供し、未来を明るくするかについて議論されています。

💡革新

革新は、新しいアイデアや方法、または物を導入する行為を指します。スクリプトでは、革新が人類の進歩にどのように貢献しているか、また、革新を生み出す自由な環境の重要性について語られています。

💡啓蒙時代

啓蒙時代は、18世紀に科学的発見や理性を重んじる思想が花開いた時代を指します。このスクリプトでは、啓蒙時代がいかにして現代の革新の基礎を築いたかについて触れられています。

💡コミュニティ

コミュニティは、共通の興味や目的を持つ人々の集まりです。スクリプトでは、小規模で密接なコミュニティがいかにして強固なつながりや機会を生み出すかについて語られています。

💡エラー訂正

エラー訂正は、間違いを特定し、それを修正するプロセスです。このスクリプトでは、科学的探究やテクノロジーの発展において、エラー訂正がいかに重要であるかが強調されています。

💡自由

自由は、制限や強制なく行動や思考を行える状態を指します。スクリプトでは、創造性や革新が花開くためには、表現や行動の自由が不可欠であると述べられています。

💡人間の創造性

人間の創造性は、新しいアイデアや物事を生み出す能力を指します。スクリプトでは、人間の創造性が無限であり、未来を明るくするために重要であるとされています。

💡生活の質

生活の質は、健康、快適さ、幸福など、生活の条件や環境の良し悪しを示します。このスクリプトでは、テクノロジーと革新が生活の質をどのように向上させるかについて語られています。

💡リスク

リスクは、何かが望ましくない結果に終わる可能性を指します。スクリプトでは、新しいアイデアや技術を試す際に伴うリスクを恐れず、前進する重要性が強調されています。

💡AI(人工知能)

AIは、人間の知能を模倣し、学習や問題解決ができるコンピューターシステムです。スクリプトでは、AIが未来の革新にどのように貢献するか、その可能性について議論されています。

Highlights

Truth requires testing ideas against objective, remorseless feedback from nature and free markets.

We need better explanatory theories in biology based on innovation, risk-taking, and experimentation.

Freedom is the parent of innovation and prosperity.

Doctors should not be gatekeepers or priests that speak for everybody.

AI helps recombine facts and translate information, but lacks creativity to generate new knowledge.

Humans are capable of maximal knowledge as universal explainers.

Optimism comes from free thinking to correct errors and share discoveries through technology.

Biology lacks explanatory theories and relies on rules of thumb.

Decentralized science is naturally curious and rigorous to discover new things.

Everyone with enough time becomes a philosopher by thinking deeply about life.

Freedom today is greater than ever with more life options through technology.

Accelerate technology but retain human agency and intellectual autonomy.

Social media enables more people to speak freely versus centralized mass media.

Current social networks focus on broadcasting, not meaningful conversations.

Decentralization solves problems after figuring out how to make a product work.

Transcripts

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um just the most interesting people are

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doing the most interesting things right

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so CH your time here as the first ones

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and earlier doctors of Italia so

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absolutely and and and the community I

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would say also they because it's smaller

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it's more intimate the the opportunity

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that you get to build a community is

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just at a different

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level great Nal um someone asked me what

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should be the title of our conversation

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and they write a really cool quote from

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from you that says um the

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democratization of Technology allows

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anyone to be a Creator entrepreneur and

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scientist the future is brighter I like

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the tagline the future is brighter U why

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would anyone why would a smart person

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disagree with that before you expand on

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why the future is brighter well I think

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smart people are very good at imagining

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downside scenarios they're very good at

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imagining all the ways that things can

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go wrong and that's not just smart

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people that's everybody we're hardwired

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that way as humans because if you don't

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imagine the downside Ed scenarios the

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outcome can be catastrophic but uh we

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are living in a time when there is an

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enormous amount of innovation going on

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and that's because we went through an

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era called the enlightenment era and

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since then we've discovered science

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we've discovered how to correct errors

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and how to get smarter and it just takes

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one person to make a breakthrough for

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all of humanity one person who discovers

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uh an anti-aging solution one person who

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discovers relativity one person who

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invents the steam engine and that then

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goes out to everybody and human

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creativity is fundamentally Unlimited

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uh and so I think that the future is

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bright we should be optimistic because

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now that we have discovered how to

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through free thinking and Free Speech

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correct errors and make new discoveries

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and spread them to other people and then

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automate them through technology that

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life should be getting better and better

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and it's easy to imagine downside risks

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but it's impossible by definition to

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imagine what the good stuff is that's

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going to happen next yes you can make

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General predictions like Singularity or

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whatever but those aren't really that

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helpful other than spreading the optim

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is a meme because if we could predict

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what the next thing was and if we could

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predict it completely accurately then we

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would have already invented it and

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that's just not how it works these

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things take time they take Ingenuity

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they take free thinking they take

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freedom freedom to create to earn uh and

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to distribute and so I think people are

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here because it's free prospera is free

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that's why you are here if prospera was

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incredibly restrictive in what you could

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say and what you could do then you

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wouldn't be here this would be the wrong

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place to be so it is that freedom as

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Matt Ridley uh says something like you

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know freedom is the parent of innov what

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is it no Prosperity is the uh child of

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freedom and the parent of prosperity I

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think that's what he said uh and I think

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that's absolutely accurate so I think we

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should be optimistic as long as we are

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free to create and free to discuss and

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free to uh distribute these these

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learnings it seems to be that we as

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entrepreneurs technologist tinkerers

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there is kind of a presumption against

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Innovation because we fear that downside

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which is why in this industry that we're

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in there's so many regulations around

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Healthcare which is making it harder for

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us to innovate so what's kind of the

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mechanism that can unlock that energy

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besides in a being in a free place yeah

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unfortunately the The Regulators do a

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lot more harm these days uh because they

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can't tolerate any downside risk uh so

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they're completely binary you're not

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allowed to hurt anybody or kill anybody

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under any circumstance but yet billions

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of people die of old age and hundreds of

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millions of people die of cancer and all

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these missing therapies that don't get

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to exist the FAA essentially drove the

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Drone business out of the United States

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by not letting drones fly so now all the

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drones are made in China congratulations

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that'll probably cost us Taiwan longer

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term uh you know the uh SEC basically

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limits all investment so people can't

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earn so they have to put into t- bills

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and stocks and they can't go into

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private Investments and the private

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sector gets starved for uh Venture

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Capital uh you know as proportion

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Venture Capital Innovation Capital still

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just a minuscule percentage of the

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economy and the same way the FDA

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basically says no no you can't do any

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harm whatsoever so you can't take any

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risk you can't experiment with nuclear

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power plants because God forbid

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something goes wrong right etc etc so

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because these innovator sorry because

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these Regulators can't do any cost

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benefit tradeoff they always only

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restrict and it is easier to restrict

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people it is easier to stop people than

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to let them create things um so it's

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just very unfortunate the whole system

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that's been set up uh now how do we kind

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of break past that especially in the

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medical domain well I think you can

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obviously try to work through the system

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and that requires a billion dollars in

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pharmaceutical trials that that and

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people are doing it and it requires kind

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of going after politically protected

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things like okay here's a cancer gene

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therapy for a certain protected class

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and it makes us all look good if it

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works out or you try it on dogs but the

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reality is the rest of the world is not

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going to just sit around and die just

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because a few regulators and a few

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developed world economies are intent on

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protecting the retirement home that

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they've built for everybody cuz that's

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some some sometimes what it feels like

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right it's like a giant retirement home

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we're all just going to uh party and eat

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and drink until we die and that's just

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not how the young people want to live so

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you're seeing places coming up around

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the world it's not just prospera but

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there are other places where people are

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looking towards the future and they say

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well look we we do want to live longer

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and we do want to live healthier you

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know we've we've increased uh lifespan

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but not not necessarily in the best way

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a lot of it just came from getting rid

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of infant mortality and then the

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remaining few uh decade or two that

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we've are attacked on to the end it's a

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shitty part right it's like okay I'm in

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an old folks home for 20 years longer

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that's not how you want to live you want

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to live with Vitality um and so the

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promise of that is so strong that now if

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we can start have breakthrough therapies

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like I know mini Circle doing some

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interesting things down here there are

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new things happening with peptides there

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new things happening with anti-aging and

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the gp1 a Agonist for example I think

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will end obesity in Western countries uh

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that's going to be a huge game Cher uh

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people are going to wake up and say wait

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a minute you mean I could have taken a

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magic pill all along and dialed in my

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exact weight or my muscular structure or

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perhaps even other kinds of therapies

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that people are talking about that might

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make me smarter or extend my lifespan by

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30% um I think those kinds of things are

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going to be incredible eye openers and

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medical tourism is making a little bit

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of this viable where people are now

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traveling around and getting things done

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uh but I I just see that the the genie

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is bursting out of the lamp right people

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are just going to say you know if you

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want to die go ahead but I'm not going

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to I'm not making that

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choice let's talk a bit about AI

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artificial intelligence um seems like

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that is a next wave of like the digital

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Frontier the internet opened a digital

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Frontier um what's the how much what's

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the case for AI helping us really break

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into the physical Frontier more like in

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medical AI to me is an incredibly useful

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tool it's not going to replace us

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anytime soon because these AIS are not

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agis they're not Universal explainers

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they're some hypothesis and scare

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mongering that they're going to

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automatically turn into agis just if we

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add more compute I don't think that's

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the case I don't think we have a theory

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for AGI yet we don't understand how it

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would work we don't yet understand how

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creativity and true intelligence works

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but there's a level of creativity that

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these AIS can help us with which is

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recombining facts and what they really

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are is they're natural language

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computers uh so for the first time

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instead of us having to learn the

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language of the computer and program in

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C or python or assembly and structure

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everything very very carefully the

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computers learn our language they learn

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English they learn Spanish they talk to

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us and we can converse back and forth

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with them that right there is a massive

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breakthrough there're also fundamentally

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translation engines but what they can

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translate is a lot not just languages

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not just putting speech to text but also

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uh things like translating from uh what

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the road looks like to how a car should

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drive it to translating from coding from

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one language to another so I consider AI

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to be uh you know it's it's like a what

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calculation H and and computers did for

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calculation for mathematicians and for

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people uh for engineers and for people

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writing code and and and building

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structures and and building machines uh

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AI will now allow us to do that for the

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natural language so it will allow us to

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do that for all the other domains that

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were sort of left out and computers now

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become much less esoteric something that

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only programmers can access and

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everybody else has to consume their

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output to everybody else can now uh

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communicate with computers directly and

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more naturally even even such simple

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things as the keyboard the typing right

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that's an anachronism that's a that's an

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invention that came after the printing

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press then we had typewriters then we

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had keyboards but once you have perfect

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speech to text keyboards are going to go

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away it's like Star Trek Star Trek they

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don't sit there you know typing

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everything into the keyboard no they

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they talk to the computer the computer

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talks back to them except for Ursula

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who's there pressing some random buttons

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just to remind people that it's a

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computer uh so I I I think we're headed

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towards an age of ubiquitous natural

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language Computing uh where the entire

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internet and all of its recombinations

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or your fingertips uh AIS are helping

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you with driving with coding with

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translation with transcription breaking

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down barriers uh and there's more things

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that they will do it'll be really

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interesting when it enters the field of

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Robotics you can now see that robots are

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making huge jumps instead of having to

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be programmed for very specific uh

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actions I think it's like more of X

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Paradox that like simple things like a

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toddler walking around really hard to do

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with robots but complex things like

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manipulating drugs is really easy well

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now that's changing thanks to AI I think

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Transformers will bring SE self-driving

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everywhere weo is already working really

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well in California you're going to see

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Tesla with its camera Solutions within

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next few years combined with

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Transformers figure it out so

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self-driving you know 99% self-driving

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will come and it's going to change our

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lives in incredible ways imagine you

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know if you walk into a modern city 1/3

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to 1/5 of the space is taken up in

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parking garages and parking spots that

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disappears in a self-driving World

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self-driving cars can packet switch on

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on the road they can just occupy one

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lane and then cities suddenly become

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walking paradises how does that change

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our world what if you wake up in the

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morning you get into your living room

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and it's actually an RV and the door

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closes and it undocks from your house

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and it drives to the next RV docks and

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there's your meeting it's just driving

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around you don't even know where you're

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going next it's just connecting to your

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friends real estate and cars become one

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thing right so there's just a that that

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alone just that unluck alone will change

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society as We Know It uh so I think

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we're starting to go through another

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wave of innovation and change and I hope

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to see the same thing in biotech uh you

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know where biotech really suffers is

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it's not an explanatory science it's a

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rule of thumb based science we just try

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lots and lots of things and you kind of

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don't really know underneath how they

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work there's a few explanatory theories

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in biology like Evolution and The Germ

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theory of disease but mostly it's just

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like well this works as the mtor pathway

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well why the mtor because there's the

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foxo Gen well why the foxo Gen well

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there's like this you know there's this

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other thing and it's just like complex

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names being explained in terms of

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complex names being explained in terms

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of complex names right and then there

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maybe there's a cycle underneath that we

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sort of understand but when you go to a

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doctor a doctor just has a whole bunch

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of rules of thumb that they memorized

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from 20 years ago and their thinking has

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not been updated so I think we need to

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develop much better explanatory theories

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in biology that requires Innovation that

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requires risk-taking that requires

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experimentation both in AI models as

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well as in real life we need to have the

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right to try the right to take informed

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risk with consent uh especially for

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desperate populations that are dying

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they shouldn't have to go beg the FDA

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and by the way we're all dying every

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single one of us every single day we get

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a little older and you know it gets a

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little worse let me tell you I'm on the

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other side of that hill and it's not

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it's not pleasant it's all downhill from

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here um so let's turn that around yeah

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it's kind of in a way yes

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Applause I am I literally preaching with

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the choir yeah it's kind of a contrast

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right between computers and biology

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biology is a system that we didn't

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engineer right so we have to figure out

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how it actually works with these rule of

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thumb whereas computers or AI we kind of

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know the input and we have started it

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from a point of um sort of Designing the

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system yeah AI is really interesting

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that way because these computers uh one

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of the things that makes them sort of

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fascinating and I think gives people

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nightmare scenarios that we don't quite

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know exactly how a given one one works

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we do know how to build them you dump a

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lot of data in in your machine learning

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algorithm so it's not some completely

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mysterious thing like people would have

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you make it out to be but uh we don't

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know the exact workings on the inside

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that's okay there are systems we

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understand where we don't understand the

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exact workings inside evolution is one

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of them evolution is explanatory Theory

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yet you cannot predict what the next

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random mutation is going to be and what

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the next organism is going to be but you

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still do have good explanation for how

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Evolution works and we're sort of at the

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same level with AI but we're starting to

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evolve them almost deliberately and so

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we can see some Innovation that's going

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to come there that is much more uh

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reflective of how biology works and so

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there's no reason to think that we can't

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figure out how biology works we just

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need better explanations just like

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before Einstein came along we couldn't

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explain you know why during an eclipse

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the light would bend a certain way and

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that star was out of place now we can

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before Einstein came along we couldn't

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build GPS tracking because we weren't

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accurate enough because there would be

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error Newtonian mechanics were an

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approximation but an incorrect one

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ultimately so the same way we need

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better explanatory theories in biology

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and I hope that the search for Life

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Extension will attract good people uh

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one of the things that Elon Musk really

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did well and which is why he's uh he's

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done so well for all of us is he just

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set audacious goals and he meant it he

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wants to die on Mars he doesn't want to

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die on Earth or he wants to live forever

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but hopefully but you know he wants to

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get to Mars the same way with Tesla he

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didn't say I want to build electric cars

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with better batteries he said I want

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self-driving cars right so he put an

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audacious goal out the same way I think

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Sam Alman says I want AGI he's not

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content with just the narrow AI that we

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have today um so the same way I hope

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that people will say well I want to live

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forever and you know that may that may

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seem extreme to some people to some

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scared people and to them I say look you

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always have the option to die you can

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always go die in the corner nobody cares

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no offense but if you're keeping us all

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hitched to you that's the problem right

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that's a problem so I think the people

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who want to live forever should go ahead

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and spread that Meme yeah that's why

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than

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yeah that's why our slogan at Vitalia is

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make death optional right you don't want

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to be trapped under a rock in pain not

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being able to die right yeah I mean it's

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sort of ludicrous that some people say

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well you know trying to live forever is

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unnatural really well your actual

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lifespan a few hundred years ago would

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have been 30 years old before all the

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diseases hit you you're using you don't

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have a problem with antibiotics you

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don't seem to have a problem with

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anything you know aspirin you don't seem

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to have a problem with organ transplants

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you don't seem to have a problem with

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blood transfusions you don't seem to

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have a problem with covid vaccines but

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all of a sudden you have a problem with

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life extension it doesn't make any sense

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whatsoever it's a contradiction in terms

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you ask people right when went five

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years longer yes another five years you

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know I I hate to I hate to be pejorative

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but on this one I I'm going to be

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because I feel like this is too

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important of a topic I think this is

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self-hatred like a self-loathing that

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they then project out into the world

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tell tell more they don't like

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themselves so they want to project it on

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everybody else it's low self-esteem r

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large yeah yeah

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yeah I have a question um on so Science

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and Technology are kind of stacking

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right we don't have to understand it but

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civilization advances by the number of

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operations that you can perform without

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thinking I was wondering if you have an

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opinion because that's a debate we're

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having here quite often what comes first

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is it like the entrepreneur The Thinker

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that do does things about TR error or

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the scientist first who figures out like

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General r and then other things can be

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built on top yeah I don't I don't have a

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strong viewpoint on this uh there are

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examples of both right you do need

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theoreticians and thinkers who can

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expand uh for example physics right the

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but at the same time a lot of the

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invention actually seems to come in

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friction with the real world in contact

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with the real world so if you go back

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and you look at the Industrial

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Revolution there was an enormous amount

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of invention that came out of the Edison

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and the Teslas and the maronies and the

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James watts and those kinds of people

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because they were in contact with the

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real world and you need that feedback

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for the iteration and a lot of invention

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happens through a specific problem a

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specific need that you need to solve but

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at the same time we have celebrate

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examples of pure theoreticians like uh

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Albert Einstein or David Deutsch who are

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kind of sitting around and thinking the

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big thoughts and then come up with

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something uh so I think there's room for

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both uh but generally speaking if you

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just look at the broad Arc of History

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most of innovation and invention has

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even scientific innovation has been

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driven by I would argue the inventors

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the entrepreneurs the ones who are

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actually building things but it's not to

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say that there isn't space for the pure

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theoreticians and the mathematicians and

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the physicists there's room for both

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yeah yeah it's it's not either or and

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look smart people capable people don't

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let themselves be pigeonholed into one

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definition that is a disease of

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credentialism because we created this

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University and now you got to go to

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university and you got to get a degree

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in something then people say well what

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is your expert te what is your

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credential that's a question dumb people

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ask smart people don't ask that smart

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people don't know your need to know your

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credentials they just talk to you for 5

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minutes and they figure out if you know

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what you're talking about or not and a

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really good person a so-called natural

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philosopher can be good in any branch of

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anything Nature has no boundaries Nature

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has no concept of mathematics versus

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physics versus chemistry it is all one

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thing and you know to anyone who's

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either meditated or done psychedelics or

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read enough books they figured that out

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it's all one thing when you find one

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thing it connects to the next thing

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connects to the next thing connects to

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the next thing and true creativity jumps

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boundaries it can go from anywhere to

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anywhere it doesn't have to follow a

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path of interconnections in between can

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you expound a bit on that because that's

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also a way for many US in the audience

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scientists and entrepreneurs we're kind

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of following our curiosity trying to

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find the PATH what's our next

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thing David deut has a uh has a great uh

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Criterion which he calls the fun

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Criterion he says just do whatever's fun

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and you'll kind of find your way to it

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and there's a lot to that because that's

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what you'll be most interested in that's

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what you'll stick with that's what

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you'll go deepest in if you're

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interested in it now then you'll be

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interesting about it later and so I

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think Deutsch has really uh a good

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criteria I would expand on that for

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myself what do I have the most fun doing

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because fun is a little too broad right

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you could be you could have fun partying

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and drinking you could and that's fine

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too you know live your life but uh I I

play18:50

would say that for me the fun criteria

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the learning Criterion I live for that

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aha moment when two things that I didn't

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realize were connected connect together

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and you get that feeling of Oneness and

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you get closer to Source if you will and

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so anything that connects two things in

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my mind that were disconnected forms a

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tighter deeper explanation and shows me

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a deeper theory is fun and that's what

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motivates me so I would say it's for fun

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it's for learning it's for connecting

play19:15

things together okay

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um and how do you how do you decide

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right because there are fun things that

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aren't necessarily leading you anywhere

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um but sometimes they lead you somewhere

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and you don't know it when you're in

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that moment thinking just follow the

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thing that's most fun everything deep is

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interesting deep down everything

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connects to everything uh and you can

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see this and everything from like Zen In

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The Art of Motorcycle Maintenance to how

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you have physicists going into fields

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and making that are completely

play19:46

orthogonal to physics and they'll make

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huge breakthroughs in those fields so I

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think you do want to follow your own

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learning and fun and and all the

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Innovation comes from tinkerers at the

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edge and they're only you only recognize

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later looking back that you can connect

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the dots but I the the thing that I

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think is important is to be rigorous uh

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is to actually stay as truth oriented as

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possible so you want to be optimistic in

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the general you want to be optimistic

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that yes I can find something

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interesting here but you want to be

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skeptical about the specific you don't

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want to just believe every claim that

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comes along and I and I find that a lot

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of times when people are entering new

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Fields they just believe everything for

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example 10 people will approach you

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they'll tell you 10 different Therapies

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they'll only tell you the upsides well

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it's like if you believe all of them

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you're you're going to die because

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you're going to take all 10 of those

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shots and one of them will kill you or

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at least hurt you so you do have to be

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skeptical about the specifics but you

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can be optimistic in the general what's

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really bad is to be pessimistic in the

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general because then you're just going

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to lose no matter what and then be

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optimistic in the specific because then

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you're trying lots of things and you

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have risk of Ruin on the downside can

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you speak a bit more about having rigor

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and true beliefs and basically an

play20:56

epistemology of how see the world and

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how to attain that yeah the uh truth is

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a very difficult thing to come by the

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the universe is mostly random and mostly

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full of false beliefs uh and so truth it

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requires a lot of rigor and the goal

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standards for truth are you have to test

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it against a larger system that will

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give you objective feedback without

play21:19

remorse other humans are the worst thing

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to test against because we are socially

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driven to collaborate groups need

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consensus or they fall apart only the

play21:27

individual can really search for truth

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and the individual gets feedback through

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two systems that are objective and

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remorseless uh and one of those is

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nature nature you know physics doesn't

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care you run a physics experiment it

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doesn't care who you are what you think

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uh how badly you want it to work it's

play21:43

going to tell you the truth chemistry is

play21:44

going to tell you the truth a microscope

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is going to tell you the truth you just

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have to be able to see it and the other

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one are free markets when you get enough

play21:51

people together voting in their own

play21:53

self-interest with money and anonymized

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uh they have no desire to tell you the

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trth to tell you a falsehood just to

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make you feel better so nature and free

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markets are the gold standards and

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anything social whether it's another

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scientist whether it's a journal whether

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it's a group of people whether it's

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someone patting you on the back whether

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it's a restaurant reviewer they're all

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going to tell you lies to make you feel

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better for a good reason it's fine so

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you have to expose yourself to that

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strong feedback by the market and you

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have to keep a very open mind so one of

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the you have to be willing to change

play22:22

your mind very very quickly as Mark

play22:24

andri and famously said you know strong

play22:26

opinions loosely held so you do want to

play22:28

have strong opinions so you can make

play22:30

progress but you have to be willing to

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reverse them you should enjoy the

play22:33

process of reversing them you should get

play22:35

used to the saying the phrase I was

play22:36

wrong in public because that's how

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you're going to get over that fear of it

play22:41

and in fact one of the problems with

play22:42

speaking in public is you make a

play22:44

proclamation and then two years later

play22:45

someone comes back and says hey Nal I

play22:47

thought you said AI is never going to

play22:48

work it's like that's not what I said

play22:50

it's taken out of context but you know

play22:51

what you just got to ignore those haters

play22:53

but you have to be willing to correct

play22:54

yourself all the time otherwise you'll

play22:56

never find your way out of the maze yeah

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sort of that iterative process of

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updating your beliefs constantly which I

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find uh especially in biotech is so hard

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right because you have this very long

play23:08

time Horizon with clinical trials having

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to take 10 years and you don't have any

play23:12

customers during that time right so

play23:14

you're basically building a research

play23:16

company and then you have to compete

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with like the big farmers on

play23:19

distribution when you're done which is

play23:22

pretty hard yeah that that's actually

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the hardest thing that the time frames

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in biotech are so long you get very

play23:27

little pieces of data that are anecdotal

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uh I'm hoping that a couple of things

play23:32

are going to change that uh AI will help

play23:34

a little bit I don't think it's like the

play23:36

big breakthrough there uh but other

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things that will help are just uh we

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have better tools now for people to

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experiment uh we have the ability to

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experiment on smaller populations and

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travel outside um distribution is

play23:51

actually quite different now because you

play23:52

have the internet right so you notice

play23:54

all these free speeches protected by the

play23:57

American Conti tion until you get to

play23:59

Securities and to medical stuff and then

play24:00

all of a free moment sudden Free Speech

play24:03

goes out the window I think that's wrong

play24:04

by the way I think you should be able to

play24:06

advertise drugs freely even if they're

play24:08

wrong and people should able to error

play24:09

correct you uh and there would be

play24:11

private rating agencies that would

play24:12

spring up and trusted sources just like

play24:14

happened in every other domain the same

play24:15

way you should be able to advertise

play24:16

Securities and I helped get the law

play24:18

changed on that to allow General

play24:19

solicitation back in 2012 out of

play24:22

self-interest and self- protection um

play24:24

but you can now advertise more purely

play24:26

insecurities but you still have to be a

play24:28

so-called accredit investor to invest in

play24:30

private companies which is nonsense um

play24:32

and the same thing uh there's

play24:33

restrictions on freedom of speech in in

play24:36

drugs and that's a huge problem it means

play24:38

for super basic things like contact

play24:40

lenses and uh and very basic uh drugs

play24:43

like things like needles you sometimes

play24:45

have to go through a doctor for no

play24:47

reason it's like giant protection racket

play24:49

uh and it violates the Constitution and

play24:51

we should all be angry about that

play24:53

because it's literally taking life out

play24:54

of our year it's taking years out of our

play24:55

life uh so I think distribution will be

play24:58

helped by the internet it won't be

play25:00

helped completely because countries have

play25:02

restrictions on it to protect the

play25:03

medical profession and I think part of

play25:05

this is I love doctors but we need to

play25:07

knock them off their pedestal they're

play25:08

not priests they don't get to speak for

play25:10

everybody they don't get to be

play25:11

Gatekeepers for everybody and what does

play25:13

a doctor mean anyway how many tens of

play25:14

millions of doctors are there out now

play25:16

are they all brilliant in a higher class

play25:18

than us no this is just a new priesthood

play25:20

so we should be able to think for

play25:22

ourselves now it's not to say that

play25:23

everyone should run out and try every

play25:25

drug you should absolutely give them

play25:28

advice and you should have uh

play25:30

institutions but there should not be

play25:32

this one magical institution called

play25:34

doctors uh and then everybody else it's

play25:38

just two artificial it's like the

play25:39

Chinese Communist party and then all the

play25:41

other Chinese it's not very different

play25:43

hard agree on so many of the things you

play25:45

said I'm curious about one thing so you

play25:48

mentioned that you were successfully

play25:50

changing a law right so that was an

play25:53

instance of voice you were able to

play25:54

reform something versus what we're doing

play25:56

here is kind of uh more an exit model

play25:58

where we do things more from uh from

play26:01

first principles so what's the case for

play26:04

voice when can it work how can it work

play26:06

and are we at a moment where we should

play26:08

um invest more in voice if that's even

play26:10

possible it's too hard just

play26:13

exit it's easier to exit show them it

play26:17

works and the beauty of life extension

play26:19

and vitality is they're all going to

play26:21

want say oh my God you look really good

play26:23

how did you do

play26:24

that so as biy said it's easier to um

play26:28

you know build a new FDA or new city

play26:30

rather than the reform Center he's right

play26:32

you know Mark Twain had a famous saying

play26:34

where he he said there is nothing so

play26:36

damaging to one's sense of self-being as

play26:38

watching a friend get rich and I think

play26:40

that pulls people for example into

play26:42

crypto uh but there's also nothing so

play26:44

damaging to one sense of self-being as

play26:46

watching a friend get fit right and then

play26:48

you're like wait a minute I I better go

play26:50

work out too what what are you doing

play26:51

exactly again what's your diet what's

play26:52

your workout then they become interested

play26:54

so our goal here should become to be it

play26:56

should be to become rich and fit show

play26:59

the you can never be too rich or too

play27:01

thin or too clean those are my

play27:03

three I know there's a hygiene

play27:06

hypothesis good it could be the next

play27:08

Ralia slow become rich and

play27:12

fit anyway so I'd like to dig a bit

play27:15

deeper into AI again and there are

play27:18

several Concepts that you discussed with

play27:20

David de and I found that discussion

play27:22

really fascinating so one of which was

play27:24

Intelligence itself Consciousness

play27:26

meaning

play27:28

creativity so um what thoughts about the

play27:31

conversation are most fresh in your mind

play27:32

or which of these four would you to do

play27:35

do is a very powerful thinker for those

play27:37

of you who haven't encountered him I

play27:38

highly recommend reading the beginning

play27:40

of infinity and the fabric of reality um

play27:42

in my mind he's the smartest human alive

play27:45

that I know of and he has a very

play27:46

coherent theory of the world that

play27:48

centers around um understanding the four

play27:50

deepest theories that we have that are

play27:52

rock solid and that is epistemology and

play27:54

by epistemology he means Carl Popper's

play27:56

epistemology is to how creativity and

play27:58

knowledge creation comes about uh and uh

play28:01

Evolution Darwin's theory of evolution

play28:03

updated by Dawkins and the selfish genen

play28:06

uh he talks about uh quantum physics uh

play28:08

he subscribes to the Multiverse Theory

play28:10

which I think is a lot going for it even

play28:11

though it's not as popular as the

play28:12

Observer collapse Theory and then uh

play28:15

Quantum the theory of quantum

play28:16

computation and he combines these to

play28:19

come up with great definitions of

play28:20

knowledge and creativity and truth and

play28:22

why the principle of optimism arises out

play28:24

of those and I highly recommend these

play28:26

books to everybody and these are not

play28:27

your normal book so if you flip through

play28:28

them and you're like 2 weeks later I'm

play28:30

done you didn't read it it's like a

play28:31

textbook it's like a course it should

play28:33

take you at least a year to get through

play28:34

each one I hate to say it but you know

play28:35

do what you can but it will definitely

play28:37

make you smarter because good ideas

play28:40

solid epistemology the foundation for

play28:42

discovering or for determining what is

play28:44

true from what is false will actually

play28:45

make you smarter so I consider them to

play28:47

have upgraded my thinking uh and there's

play28:50

a lot of counterintuitive stuff in there

play28:52

but once you have a solid explanatory

play28:54

framework then you no longer have to

play28:56

memorize things you don't have to say

play28:58

well okay so and so told me this and

play29:00

therefore that is true no you can always

play29:02

rederive it from first principles uh so

play29:05

I've done a couple of podcasts with him

play29:06

but those are just teasers um there's a

play29:08

guy named Brett Hall who is uh an

play29:11

incredibly good uh physics lecturer and

play29:13

teacher and he is B basically devoted

play29:15

his life to understanding and spreading

play29:17

the philosophy of David Deutsch uh and

play29:20

again these are not things you take on

play29:21

belief or on faith these are absolute uh

play29:25

chains of deductive logic and reason and

play29:27

creativity that you can rederive for

play29:29

yourselves and understand at a core

play29:31

level um it's almost too much to ask

play29:34

where to start in that but I think the

play29:36

core of it is epistemology epistemology

play29:38

is a really fancy word for the theory of

play29:40

knowledge it's how do I know something

play29:42

is true that's the core of it how do I

play29:44

know something is true and a lot of

play29:46

people believe it's through induction

play29:48

induction is just one two 3 4 sun rises

play29:51

today sun rises tomorrow sun rise day

play29:53

after therefore the Sun is going to rise

play29:54

every day not true the sun is not going

play29:56

to rise every day there's a day where

play29:57

the sun won't rise turkey gets fed by

play30:00

the farmer what day one day two day

play30:02

three turkey's getting fed by day 300

play30:05

turkey believes farmer is benevolent

play30:07

Godlike creature who comes and feeds

play30:09

turkey every day Thanksgiving shows up

play30:11

turkey gets neck cut off induction is

play30:13

not a v value philosophy deduction which

play30:16

is okay I see something and therefore I

play30:20

uh can extrapolate the next thing and

play30:21

the next thing and next thing that's how

play30:23

we create knowledge no that's not true

play30:25

either uh because d deduction relies on

play30:28

certain axioms where did those axioms

play30:30

come from talk to any mathematician they

play30:32

can unfold all kinds of things out of

play30:34

deduction is that enough no it doesn't

play30:35

answer the question of creativity so

play30:38

these are examples of things in

play30:39

epistemology another thing is can humans

play30:42

understand everything can we a lot of

play30:45

people would say no that's actually

play30:47

false everything that can be understood

play30:50

can be understood by a human why we're

play30:52

Universal explainers why we're Universal

play30:54

computers we're touring machines the

play30:56

laws of physics run inside touring

play30:58

machines the you the the universe itself

play31:00

is a touring machine anything that can

play31:02

be simulated or that can be done in the

play31:04

real world that is done in the universe

play31:07

can be simulated in our brains with

play31:09

arbitrary Fidelity and therefore

play31:11

anything that can be explained can be

play31:13

explained by us we are capable of

play31:15

maximal knowledge there is no AGI

play31:17

there's no super intelligence there is

play31:19

no alien that is possible even in theory

play31:22

that could understand something that we

play31:24

just could not understand that is a

play31:26

deeply optimistic output and I'm not

play31:28

making a claim this is science this is

play31:31

physics If you deny this you're denying

play31:33

physics is all right it's reason it's

play31:36

reason but reason is way more powerful

play31:38

than most people think uh it's actually

play31:40

Beyond reason because reason is purely

play31:42

deductive it's creative so it's one

play31:43

different level uh but I highly

play31:45

encourage you read deut to figure things

play31:47

like these out I mean it is a

play31:48

GameChanger another simple one is

play31:50

spaceship earth we're on this fragile

play31:52

Planet we're running out of resources

play31:54

are we what's a resource is uranium a

play31:56

resource it wasn't until 100 years ago

play31:58

is oil a resource it wasn't until 200

play32:00

years ago is coal a resource it wasn't

play32:03

until 500 years ago is w a resource it

play32:06

wasn't until humans came along and

play32:07

started fires so even the definition of

play32:10

what a resource is changes so these are

play32:12

the kinds of things that is really worth

play32:14

understanding do to figure out it will

play32:16

rewire your brain in a good way yeah I'm

play32:18

a huge philosophy and epistemology nerd

play32:21

one thing at specifically on that thesis

play32:24

that everything that can be um sort of

play32:27

that can be understood everything can be

play32:29

understood just from principles of

play32:31

physics I was wondering how that fits

play32:33

with the other Minds

play32:34

problem oh like that there are other

play32:37

Minds out there yeah I mean you can't

play32:39

really understand what's going on in

play32:40

someone else's mind or feel what they

play32:42

feel right that's just an abstraction

play32:44

and Universal about them not like the

play32:46

thing itself at the end of the day if

play32:47

you're talking about Rock Solid Bedrock

play32:49

truth there's only one which is that

play32:51

awar awareness exists it's that there is

play32:54

there's an awareness out there right now

play32:56

and it's not even I am aware because you

play32:58

can't actually pinpoint a specific self

play32:59

in you if you pay enough attention right

play33:01

that's kind of the whole theory behind

play33:02

meditation Enlightenment you go looking

play33:04

for yourself and there's nobody there

play33:06

but there is an awareness right and so

play33:08

that is your rock solid Bedrock truth

play33:10

awareness exists somehow there is this

play33:12

miracle of existence that is not

play33:14

explained to date and it could be

play33:17

explainable there there are multiple

play33:19

ways in which it could be explainable

play33:20

but we don't have an explanation for it

play33:22

today everything else is science and

play33:24

science starts with a conjecture of what

play33:27

works and what's real and what's not and

play33:29

it is a conjecture and it's never

play33:31

Bedrock Rock Solid truth it is always

play33:34

subject to being overturned but you have

play33:36

your best explanation right now and how

play33:38

do you have your best explanation right

play33:40

now you compare to your next best

play33:41

explanation and then you see which one

play33:43

does a better job of mapping to the real

play33:45

world which one actually solves the

play33:47

problems you set out to solve and that's

play33:49

why you have these crucial experiments

play33:50

that split between two theories like the

play33:52

famous one where Edington track

play33:54

Starlight and determined that Newtonian

play33:56

theory was was inferior to relativity

play33:58

when talking when U mapping uh

play34:01

gravitation and light and so on so uh

play34:05

you know you you don't know anything is

play34:08

true completely forever but you still

play34:11

live your life based on all kinds of

play34:14

explanations that you've established to

play34:15

be the best explanations you have right

play34:18

now and you need those to navigate the

play34:19

world but they are always subject to

play34:21

update yeah and one point in the

play34:24

conversation you talked about sorry you

play34:26

asked about theory of mind which is how

play34:27

do I know other people have it's our

play34:29

best explanation right now there is an

play34:31

awareness I have some thoughts running

play34:33

through that awareness I map that into a

play34:35

private sense of self and I consider

play34:36

that to be my Consciousness and it

play34:39

stands to reason that other people are

play34:41

like me too because they seem to behave

play34:42

the same way ultimately this is there's

play34:44

a there's a great problem in philosophy

play34:46

called the philosophical zombie problem

play34:47

it's kind of a fun one right the

play34:49

philosophical zombie problem is

play34:50

basically why do you need Consciousness

play34:53

why aren't we all just automatons and

play34:54

zombies reacting to the environment

play34:56

right so the philosophical zombie

play34:59

because you could just have the exact

play35:00

same reactions but there'd be nobody

play35:01

inside it's like a robot right everybody

play35:03

would just be robot so why do you need

play35:05

Consciousness and uh so the

play35:07

philosophical zombie problem ask why

play35:09

Consciousness and there are various

play35:10

explanations you know one of them is

play35:11

just like Consciousness is what being a

play35:13

reacting robot feels like it needs some

play35:15

internal model some internal State

play35:17

machine and that's just what it feels

play35:19

like but you know you could argue the

play35:22

other side which is why zombie why does

play35:25

why why are they even people why is it

play35:27

all just in my head you know that's the

play35:28

sism answer um deuts actually has a

play35:31

really good reputation of sism uh one of

play35:34

the things I love about do and one of

play35:35

the reasons that he's so dense it's hard

play35:37

to read is that he will throw away in

play35:40

one line destroy entire philosophies and

play35:43

just move on and if you're skimming it

play35:45

like a normal book you won't even notice

play35:47

but if you're reading it very very

play35:48

carefully you will notice that he he

play35:51

actually destroys solipsism on the basis

play35:52

of uh aam's Razer uh which is a

play35:57

a su which itself is an aam R salmanov

play35:59

induction but uh he basically says uh oh

play36:04

well solipsism even if you're a

play36:06

solipsist and if you think you're the

play36:07

only one that exists and everybody else

play36:09

is just a figment of your imagination

play36:11

they're still autonomous creatures they

play36:12

still don't react the way you want them

play36:14

to react you can't control the world so

play36:16

you still have to build a theory of how

play36:18

and why they operate and it still

play36:20

requires all the explanations you have

play36:22

in science and biology and physics so if

play36:24

you have to do all of that but you have

play36:26

added this extra feature that it's all

play36:28

in your head well that violates aam's

play36:30

Razer you've just basically added an

play36:32

expl extra explanation that doesn't

play36:35

actually explain anything you've add an

play36:36

extra assumption that doesn't explain

play36:38

anything so the more parsimonious

play36:40

explanation is that these are actually

play36:42

really independent entities so reality

play36:45

is uh a better more parsimonious

play36:48

explanation than belief because the

play36:49

belief still requires

play36:51

reality

play36:53

yeah that's powerful um by the way after

play36:56

the the break we also have U my favorite

play36:58

philosopher Michael humer speaking on a

play37:00

similar topic and he also had a

play37:01

reputation of solipsism along similar

play37:04

lines um here's about what we can say um

play37:08

also what you've learned from David

play37:09

Deutch or I think AI confronts us with

play37:13

that question many ways what is

play37:15

intelligence right and can AI perfectly

play37:17

model it in the same way that humans do

play37:19

in other ways and what does it mean to

play37:21

be intelligent yeah the word

play37:23

intelligence is really overloaded you

play37:25

know kind of like love or or uh you know

play37:28

uh there's a lot of words in our

play37:30

language that are overloaded and so

play37:31

people very often when they're talking

play37:33

about them we just talking past each

play37:34

other uh rather than intelligence I

play37:37

would say creativity I think that is the

play37:38

more interesting things to focus on

play37:40

because that is what makes humans unique

play37:42

you can Define intelligence as a pathf

play37:44

finding function and something will find

play37:45

a path right um so it's one of those

play37:48

things that's hard to talk about but I

play37:49

think creativity is a more interesting

play37:51

thing and if you look at systems that

play37:53

generate

play37:54

knowledge um they do so through

play37:57

creativity so the question is does AI

play37:59

really generate new knowledge I don't

play38:02

think so I think it helps uh it it

play38:05

recombines things and Steve Jobs

play38:07

famously said creativity is just

play38:08

combining things together and I think he

play38:10

was wrong on that I think he was not I

play38:12

don't want to call him wrong because

play38:13

then people call me wrong because of

play38:14

throwaway statements but he would that

play38:16

is that is out of context and it's too

play38:19

narrow uh creativity is not just

play38:22

combining things together creativity is

play38:24

creating new knowledge it is not

play38:26

Randomness it is not repeating patterns

play38:29

it is a new thing that is sort of a

play38:33

uh it it is a new sequence in the

play38:35

universe that expresses some truth and

play38:38

so how do you derive these sequences how

play38:40

do you discover these new sequences how

play38:43

do you create these new sequences and to

play38:46

our knowledge we only know of two

play38:47

systems that can do that and the first

play38:50

is uh Evolution and evolution does that

play38:53

through random mutations which then get

play38:55

selected for in the environment over

play38:57

long periods of time uh and the other is

play39:00

humans uh not even other animals because

play39:02

their creativity is encoded in their DNA

play39:04

it comes from Evolution it is actually

play39:06

very hard to teach an animal nutrix

play39:08

extremely hard and most of the cases

play39:10

where we've taught gorillas this and

play39:12

that are actually apocryphal if you dig

play39:13

into them they're not real um whereas a

play39:16

human baby uh can see someone trying to

play39:19

perform an action figure out what action

play39:21

they're trying to perform and then

play39:23

creatively come up with other solutions

play39:25

to that action and so human creativity

play39:27

is far faster than uh evolutionary

play39:31

creativity because it can connect

play39:34

anything to anything it can jump huge

play39:36

spaces it can cut through the search

play39:38

space of possibilities very very fast so

play39:41

uh genetic creativity and evolution is

play39:43

limited in two ways one is it's random

play39:46

and then it has to be selected for and

play39:47

that's painfully slow it requires a lot

play39:49

of generations but it got us here uh and

play39:52

the second is it has to pass through

play39:55

useful points for a creature that has no

play39:57

wings to evolve into a creature that has

play39:59

wings every generation in between has to

play40:02

derive benefit or at least cannot derive

play40:04

harm from that mutation whereas a human

play40:07

creativity can literally jump from art

play40:10

to science and nothing needs to be in

play40:12

between so that is part of the reason

play40:15

why we're going through such a

play40:16

revolution in Innovation because human

play40:18

creativity has finally been Unleashed

play40:20

and no I do not think computers are

play40:22

there right now uh nor do I think we

play40:24

have a good explanation for how they

play40:26

will get there is it possible absolutely

play40:28

the existence proof is right here every

play40:30

human we already know how to create ai

play40:32

go have sex with somebody and make a

play40:33

child right that's how you'll get AGI

play40:35

you can create AGI all day long you can

play40:37

create Universal explainers all day long

play40:40

uh in fact some people argue with too

play40:41

many of them right we too many agis

play40:43

already wandering the planet but when we

play40:45

figure out how to create AGI we will

play40:47

have a good explanation of how it's

play40:49

created we'll be able to do that in a

play40:50

repeatable way and in a sense those will

play40:53

be people those will be actual thinking

play40:55

things you can't have this this

play40:56

lobotomized idiotic AGI that serves you

play40:59

like a slave and will go wrong and make

play41:01

paper clips uh because creativity is

play41:05

universal these are Universal explainers

play41:07

everything connects to everything you

play41:09

can't Isaac azimoff used to play with

play41:11

this in the three laws of robotics where

play41:13

he would try to like create uh robots

play41:15

that couldn't harm humans and had to do

play41:17

good for the human race and you know had

play41:19

low self-preservation instincts and all

play41:21

of his short stories in the robotic

play41:23

series were all about the loopholes that

play41:25

arise from this you cannot prevent an

play41:27

AGI or a universe explainer from

play41:29

thinking any thought there's because

play41:31

everything connects to everything

play41:32

there's always a way around um I don't

play41:35

know if I answer your question I if

play41:36

tangent totally going Direction I wanted

play41:38

to I mean as an example When I Was

play41:40

preparing for this interview I was

play41:42

talking to Jet GPT and the questions I

play41:44

gave me were just really generic and

play41:46

boring and then I was jet GPT is an

play41:49

amazing natural language search engine

play41:51

it is an incredible translator from

play41:53

computer languages to human languages or

play41:55

being human languages uh the chat GPT

play41:58

falls apart in two places where you can

play42:00

tell it's not intelligent one is go in

play42:02

any domain or three one is go to any

play42:04

domain where you have a lot of specific

play42:05

knowledge and you will see that it's

play42:07

just giving you the generic consistent

play42:08

wrong boring answer second is uh go ask

play42:12

it to summarize something and you will

play42:14

watch it fall apart as well because it's

play42:16

very very bad at summarization it's very

play42:17

good extrapolation it can do the

play42:19

midwidth thing of adding more words to

play42:21

sound intelligent but when you actually

play42:23

try to get it to distill down to the

play42:25

core of the things which is a sign of

play42:26

intelligence which is distilling things

play42:28

into explanatory theories and reason uh

play42:30

it can't do it uh and then lastly go

play42:33

into anything where it's training set is

play42:35

bad uh there was a great example that

play42:37

went up on Twitter recently or or the

play42:39

artist formerly known as Twitter um

play42:41

where it basically had uh you know that

play42:43

famous Knights problem where there's

play42:45

like two knights and one is telling the

play42:46

truth and one is telling a lie and you

play42:48

have to ask some questions to figure out

play42:49

which one is which well someone went on

play42:51

there and said there are two knights

play42:53

they're both telling the truth how do

play42:55

you find out which one is telling the

play42:56

truth and it went through all this

play42:58

convoluted logic of trying to detect a

play42:59

liar because all of its examples and IT

play43:01

training set and there zillions of them

play43:03

are always involveed a liar so it can't

play43:05

even comprehend that actually they're

play43:06

both telling the truth I can just ask

play43:07

either one and they're both telling the

play43:09

truth and I'm done right it's a tarology

play43:11

but because that's not in the training

play43:12

set it shows you that it cannot

play43:14

reason yeah and then I looked at your

play43:17

interview with David Doge and they had

play43:19

so much context just because of my

play43:20

interest in epistemology so was very

play43:22

quickly parsing through and seeing like

play43:24

nuggets that are really interesting

play43:26

discuss in this context and also I was

play43:29

surprised that something that I thought

play43:31

was kind of actually the basis for

play43:32

computing which is like Logics right

play43:35

Logics it can pick up on that which is

play43:36

what you were just describing yeah

play43:38

they're augmenting it by putting in some

play43:40

basic rules of mathematics and logic

play43:41

like coding in wolf from alpha yeah it's

play43:44

kind of like how if you go to Google

play43:45

Google is not just a straight search

play43:47

engine anymore they've got that one box

play43:48

they're like oh you're searching for

play43:49

flights oh you're looking inside Google

play43:51

swar or you're looking inside Google

play43:52

Images so they can start it can start

play43:55

looking more intelligent by augmenting

play43:57

retrieval through other things and I

play43:58

think the same way chat GPT through its

play44:00

apis will augment other things I think

play44:02

it's an incredible breakthrough having

play44:04

natural language Computing is an

play44:06

incredible breakthrough having Universal

play44:07

translation is an incredible

play44:09

breakthrough there's no reason to take

play44:11

away from that but at the same time

play44:14

there are certain people who have the

play44:16

goal of inventing AGI so they need to

play44:18

raise a lot of money so they're going to

play44:19

project something out onto it that I

play44:21

think is not valid yet although we can

play44:23

absolutely figure it out um there also

play44:26

breakthroughs to be made by putting it

play44:28

inside a robotic body and getting

play44:29

feedback from The Real World and they

play44:31

can improve a lot faster and have a much

play44:32

larger data set uh and then there's some

play44:35

people who are just always scared and

play44:36

they want to make a name for themselves

play44:38

by pointing out all the fears and

play44:39

Terrors and how we can end the world but

play44:41

Banning the free exercise of mathematics

play44:42

is not it we've banned almost everything

play44:45

which is why we have to come to prospera

play44:46

to do stuff in biology if we ban

play44:48

mathematics like that's it that's the

play44:50

end then you got to leave that Society

play44:52

Al together the other thing I wanted to

play44:54

double pick on that you mentioned before

play44:56

what humans are capable of um I would

play44:59

describe it as social Evolution or

play45:00

culture right so we're able to

play45:02

coordinate millions of intelligences

play45:05

through like stories and narratives

play45:07

right so that's something that when you

play45:09

look back at the history of humanity you

play45:11

in strugg at all right absolutely we

play45:14

have layers and layers to our

play45:15

intelligence networks we have

play45:17

institutions we have countries we have

play45:19

cultures we have religions we have all

play45:21

different ways of conveying knowledge

play45:23

combining knowledge recombining

play45:25

knowledge and then executing on it um no

play45:28

man no woman is an island you know if

play45:30

you're out in the desert or The Jungle

play45:33

by yourself I don't care how smart and

play45:34

capable you are after a certain amount

play45:36

of time you die that's just that simple

play45:38

you know Robinson cruso aside

play45:40

notwithstanding so uh we are Cooperators

play45:44

uh but we're not blind Cooperators we're

play45:46

not genetic Cooperators like uh ants and

play45:48

bees we can actually cooperate across

play45:50

genetic boundaries people who didn't

play45:52

grow up as part of the same family can

play45:54

cooperate people that aren't the same

play45:55

race or culture can cooperate uh and

play45:58

that's why we dominate this world uh

play46:01

because a 100,000 humans can meet

play46:04

together because they're all Christian

play46:05

or because they're all scientists or

play46:06

because they all want to live forever

play46:08

and be and have Vitality um where uh you

play46:12

know ants can't

play46:13

even uh gang up across hives two ant

play46:17

hives encounter each other they're

play46:18

enemies they're different yeah yeah um

play46:21

do you want to take audience questions

play46:23

sure I have one more question though um

play46:25

before let's do it and you're uh you

play46:29

what did you learn from your brother

play46:31

Kamal because I read in your book that

play46:33

he's actually the philosopher in the

play46:34

family that I'm just an amateur so

play46:37

considering how great of a philosopher

play46:38

you are what must be enormous I think

play46:42

everybody's a philosopher right if you

play46:43

live long enough you think about things

play46:45

you're a philosopher I'm just a little

play46:46

more articulate about it that's that's

play46:48

all it is right I don't I don't think

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I've thrown out any philosophical

play46:52

thoughts that people haven't already had

play46:54

it's a resonance right they kind of kind

play46:55

of uh hear it it's uh what was it I

play46:58

think it was God I'm going to get the

play46:59

name wrong I want to say it was

play47:01

Chesterton but somebody said that oh no

play47:03

no no it was Emerson Emerson Ralph Waldo

play47:05

Emerson uh great writer preacher um so

play47:08

he uh he says something like you know in

play47:10

every great thought we see our own words

play47:13

coming back in us with a certain

play47:15

alienated Majesty right so it's just

play47:17

repeating back something we already knew

play47:19

but doing it in a way that resonates

play47:20

with us so I think that's uh that's

play47:23

really the the skill set we're talking

play47:24

about here um my my brother is an

play47:26

amazing writer he's written some great

play47:28

books you know a lot of people come up

play47:29

to me and they're like oh thank you your

play47:30

book saved my life I'm like oh you're

play47:32

thinking of him you know he because he

play47:34

wrote that book love yourself like your

play47:35

life depends on it and I think it's a

play47:37

it's a book about having an incredibly

play47:40

strong core in self-esteem so you're not

play47:41

dependent on people from the outside

play47:44

that all of your core psychological

play47:45

needs come from the inside uh and he is

play47:48

a great writer he actually was the one

play47:49

who first got into uh you know Hemingway

play47:52

and got me into Hemingway even though

play47:54

you know so a lot of my piffy writing

play47:56

comes from him if you read his books

play47:57

you'll notice he shaves off every single

play47:59

word and he can do it at a book level I

play48:01

can't I just do it at a tweet level cuz

play48:03

I like that 140 character constraint

play48:05

that's where I like to compete um

play48:07

because I read a lot of poetry and I was

play48:08

a failed poet uh rhyming is hard uh

play48:11

metric verse is hard rhythm is hard but

play48:13

I found word selection to be easy uh and

play48:16

so that's where Twitter came in and gave

play48:17

me an advantage then they went to 280

play48:19

and now it's now everyone's putting

play48:21

2hour videos with uh you know with Putin

play48:25

on Twitter

play48:31

I'd love to hear about um essentialized

play48:33

science these are new ways to uh fund

play48:37

science to get the science done to

play48:40

publish the science and publicize it and

play48:43

more generally to coordinate a

play48:44

decentralized community uh especially in

play48:47

a city like this science has always been

play48:49

science has always been decentralized

play48:51

it's just that then we created this

play48:52

industrialized thing that we call

play48:54

science just like we created

play48:55

industrialized schooling uh one size

play48:57

fits all right we want to Stamp Out lots

play48:59

of phds but that doesn't create more

play49:01

creativity it doesn't actually create

play49:02

more scientists it creates more phds I

play49:04

would draw a distinction between phds

play49:05

and scientists I don't think you need to

play49:07

have a PhD to be a scientist okay U if

play49:10

you are naturally curious and you're

play49:12

rigorous and you discover new things

play49:14

you're a scientist like one of my

play49:16

Twitter quips was the only true test of

play49:17

intelligence is if you get what you want

play49:19

out of life and that triggers a lot of

play49:21

people but how else do you know how else

play49:23

do you know if you're smart if you're

play49:25

not getting what you want lot out of

play49:26

life how smart are you really okay you

play49:28

might have had bad luck once upon a time

play49:30

but consistently every time I doubt it

play49:32

and there's two parts to that one is

play49:34

actually testing yourself against the

play49:35

world to see if you get what you want

play49:37

the other is wanting the right things in

play49:39

the first place you know I wish I was 20

play49:41

years old and had wings not going to

play49:43

happen so you got to wish for the right

play49:45

things too so I think decentralized

play49:47

science science has always been

play49:49

decentralized everyone can be a

play49:50

scientist if they're rigorous uh and if

play49:52

they're curious uh now in terms of

play49:55

funding it yes you need funding to

play49:57

science do science no you don't need

play49:59

funding to do science okay if you need

play50:00

to do research fundamental research in

play50:02

patient populations you do need some

play50:04

money there's a lot of Rich old people

play50:06

out there who are dying I don't know how

play50:07

old Michael Bloomberg is he's got a lot

play50:09

of money he's almost dead I'm sure if

play50:11

you went to him with the right pitch he

play50:12

would cough up some money but you'd have

play50:14

to extend his lifespan you know give him

play50:16

some evidence give him give him solid

play50:17

thinking give him solid proof uh

play50:20

everyone's uh discount rate the interest

play50:23

rate on their money at their deathbed is

play50:25

infinite the closer you get to death you

play50:28

know the greater the value of every

play50:29

additional minute goes up go to Every

play50:31

rich person in the world who's dying

play50:33

offer them another minute of life and

play50:34

see how much money they cough up the

play50:36

funding is out there you just have to

play50:37

have the rigorous thinking and the right

play50:39

therapies um in terms of coordination

play50:41

and Publishing internet so easy already

play50:44

done I think there are entire Fields uh

play50:46

like for example in Ai and ml where

play50:48

people are just publishing openly

play50:50

they're not publishing in these closed

play50:51

journals and closed uh systems anymore

play50:53

those Gatekeepers are going away so I

play50:56

think science is already decentralized

play50:57

it's just like you know Paul Graham said

play50:59

it was a Paul Graham or Alan K uh the

play51:02

future is here it's just not evenly

play51:03

distributed so we're already in

play51:05

decentralized

play51:07

science what I want out of life is to

play51:09

ask followup questions sorry should we

play51:11

give other people more time but we come

play51:13

back what do you think okay all right

play51:14

thank

play51:16

you um uh Ino question did you hear

play51:20

about uh D defensive accelerationism yet

play51:24

D defense accelerationism what does that

play51:26

mean um Vin wrote an answer

play51:31

to manifest but if you didn't read it

play51:34

okay t tldr i i skim I skimmed it I'll

play51:37

have some hot take on it which is not

play51:39

accurate but overall I think we should

play51:42

just go for the accelerationism but I'm

play51:43

not interested argu I'm not that

play51:45

interested in arguments against because

play51:47

yeah yeah sorry that I want to ask yeah

play51:51

uh you said so many beautiful things

play51:52

about the enlightenment about uh one's

play51:55

own uh responsibility of be truth

play51:58

seeking and so on and not tapping into

play52:00

the demon of group think or of a

play52:02

socialized mind to go about it uh and

play52:05

that you believe that it's possible for

play52:07

every uh unique mind to go that route

play52:09

and I would agree uh I would however

play52:13

fear that the enlightenment as the

play52:15

powers are spread now and as the

play52:17

realities light uh lay on earth now

play52:20

might not scale fast enough in time and

play52:23

if we just accelerate artificial

play52:25

intelligence most people will just

play52:27

Outsource even their own sense making

play52:29

and become NPCs how can we make that

play52:33

possible uh that we can go the

play52:35

acceleration route but keep human agency

play52:39

and not just enable anybody to go for

play52:43

their lowest hanging feedback loops and

play52:45

lowest hanging Ambitions but probably

play52:47

for the highest hanging Ambitions I

play52:50

think it's natural I'm not afraid of it

play52:52

because I I think firstly humans today

play52:54

have more AG agcy than they had 5050

play52:56

years ago right women are far more free

play52:59

uh you can travel to prospera uh your

play53:02

cell phone works here your money works

play53:04

here that's more freedom you have more

play53:06

agency than you've ever had and it's and

play53:08

even the people you're calling NPCs

play53:10

which I don't think is quite accurate

play53:12

they have way more agency than they've

play53:15

ever had so there's kind of this this

play53:18

mindset that we often have where uh it's

play53:20

kind of the tyranny of low expectations

play53:22

we look down on other people and we're

play53:24

just like well there are NPCs but I'm a

play53:25

PC I'm not so sure I think there are PCS

play53:28

in their own life and if you were to

play53:29

swap places with them you would feel

play53:31

very much like a PC so they are doing

play53:34

the best they can with what they have

play53:35

now they're busy you know maybe they're

play53:37

cleaning toilets maybe they're trying to

play53:39

figure out how to make ends meet maybe

play53:40

they're trying to figure out how to get

play53:41

into school uh maybe their brain doesn't

play53:43

work as fast but they're still capable

play53:45

of having great ideas because they're

play53:46

Universal explainers so I think if you

play53:49

free them up if you give them more time

play53:51

if you automate more the things around

play53:53

them they can be more creative now now

play53:55

yes maybe they'll go down the rabbit

play53:56

hole of uh you know smoking too much

play53:58

dope and watching a lot of Netflix but

play54:00

you know what I watched a lot of TV too

play54:02

I played a lot of video games as a kid

play54:03

turned out okay you got to let people

play54:05

get through their humps all right maybe

play54:07

they're eating too much and they're

play54:08

getting fat great jab him with a zic you

play54:10

know bring them back we're we're finding

play54:12

solutions to these things so I think you

play54:15

do have to give people more agency I

play54:17

don't think the way I don't think

play54:18

there's no way back by the way there's

play54:19

no turning around what are you going to

play54:21

do you can't stop other people from

play54:22

moving forward so the only way out is

play54:24

through

play54:25

I'm not I'm not I don't mean to attack

play54:27

you but we we should pass it to the next

play54:28

person also sorry this sorry go ahead go

play54:32

ahead you have something more to say

play54:33

just say it with NPCs I rather meant

play54:37

that uh people will go the easy route

play54:39

because it's pre-programmed in our minds

play54:41

to always go the energy saving route but

play54:44

that's okay we're we're we're energy

play54:46

minimizing systems and what's wrong with

play54:47

that expending less energy to get to the

play54:49

same outcome that's how the whole

play54:50

universe works principle of lease action

play54:52

so the market outcome according to you

play54:55

would be every single individual would

play54:57

have as their uh as their goto rout uh

play55:00

total uh well self actualization and

play55:04

curiosity and it's not uh like the

play55:07

centralized forces on earth like the

play55:09

media did to politics already uh would

play55:12

use it and just uh lock us in a state

play55:15

where we can't get out of I think it's

play55:16

already getting better you have social

play55:18

media which is way more free than

play55:19

centralized media was than mass media

play55:21

was now everybody's talking as opposed

play55:23

to just a few people are talking so uh

play55:26

yeah I don't I don't I don't I don't see

play55:28

the risk you're talking about and I

play55:29

don't see the alternative what do you do

play55:31

top down control everybody what you're

play55:32

allowed to say and what you're allowed

play55:33

to think and who you got to follow

play55:34

that's you're building the systems that

play55:36

are exactly the ones that you fear if

play55:38

you advocate for that promote cognitive

play55:40

sovereignty and intellectual autonomy

play55:42

absolutely we promote cognitive

play55:44

sovereignty and intellectual autonomy

play55:46

absolutely 100% go read the beginning of

play55:48

infinity that's what it's all

play55:50

about talking about everybody talking um

play55:54

I have a question about air chat you're

play55:56

very delivered with your time you want

play55:58

to live forever which is why you're here

play56:00

but when you're not here you're building

play56:01

air chat what's your vision with it you

play56:04

describe it as a voice first messenger

play56:07

is it more WhatsApp more Twitter and

play56:09

then ultimately how do you prevent it

play56:11

from falling prey to centralized control

play56:14

where everybody can't talk yeah so uh

play56:16

I'm working on a new social network uh I

play56:19

don't think social networks today are

play56:20

social they don't actually have

play56:21

conversation they're broadcast networks

play56:23

1% of people get and spew their thoughts

play56:26

on Twitter that's broadcasting 1% of

play56:29

people get up and put up their private

play56:31

photos on Instagram you know that's

play56:33

broadcasting 1% of people get up and

play56:35

dance on Tik Tok that's broadcasting

play56:37

it's not actually social you can't

play56:38

actually have meaningful conversations

play56:39

you can't actually connect as humans so

play56:41

air chat is an attempt to create

play56:43

conversations and we're just early on it

play56:46

we're iterating we're rebuilding it

play56:47

we're rebuilding it we're rebuilding it

play56:49

so the first goal there is just I get

play56:51

bored I want to talk to smart people I

play56:53

want to have the ability to pull out my

play56:54

phone no matter matter where I'm in the

play56:55

world and talk to smart people second I

play56:57

want to promote free speech so we need a

play56:59

network that is not controlled by people

play57:01

who believe in authoritarian beliefs

play57:03

luckily Elon came on came along and

play57:05

bought Twitter he renamed it X which I

play57:07

think was a massive destruction of brand

play57:09

value but uh he nevertheless did free it

play57:13

up so people can now much more freely

play57:14

say what they think is it uh completely

play57:17

decentralized and Unstoppable no we have

play57:19

a bunch of others for that we have blue

play57:20

sky we have Noster we have farcaster

play57:22

these are good backup Solutions the

play57:24

problem is very very hard to innovate on

play57:26

a new media format and a new

play57:28

conversation format and make it

play57:29

decentralized at the same time anyone

play57:31

who's not been in crypto and then added

play57:34

a token to their offering knows exactly

play57:36

what I'm talking about then you get

play57:37

bogged down and token hell so

play57:39

decentralization is something you solve

play57:41

after you figure out how to make the

play57:42

thing work so right now we're just

play57:44

trying to figure out how to make the

play57:44

thing work I don't think it's quite

play57:46

ready for prime time I think we're going

play57:48

to we're rebuilding it there's going to

play57:49

be a relaunch hopefully it'll work this

play57:51

time honestly it's just fun it's

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