AI News: AGI In 2 Years, Meta’s LEAK, AI Sarcasm Detector & More

Summary

このビデオスクリプトでは、人工知能（AI）の最新動向とその応用が幅広く紹介されています。スクリプトでは、目が出血したが視力に影響はないというエピソードから始まり、AIが自然なやり取りを可能にする風刺検出器の開発、メタ社のカメラブツのリーク、OpenAIの新しいテーブルとチャート機能のロールアウト、そしてBoeingがAIを活用して飛行機のデジタルツインを作成するなど、多岐にわたる分野でのAIの進歩について触れています。さらに、AIが物理的な現象を理解し新しい物質を発見するのを助けるMITの研究、開発者に対するAIの影響についてのRedditスレッド、そしてAIの多様性と安全性に関する議論もカバーされています。

Takeaways

• 👀 スクリプトでは、人工知能（AI）が様々な分野で急速に発展していると語られており、特に自然な人間の反応を理解するのに重要なサarcasm detectorの開発など、AIの応用が進んでいると示唆されています。
• 🤖 open AIの共同創設者によると、人工知能（AGI）は2年以内に実現可能とされており、その安全性と制御に関する議論が重要視されています。
• 🎧 メタ（旧Facebook）はカメラを搭載した「カメラブッツ」という新しいデバイスを開発しており、周囲の状況を把握し、音声でのコマンドに対応するなど、新たなAI応用が示されています。
• 🔍 MITの研究者が物理の分野でAIを用いて新しい物質を探求し、物質の相転移を自動分類する技術を開発しています。
• 📊 open AIは新しいデータ分析ツールを提供しており、チャットGPTを通じてPythonコードを実行してデータ分析を支援しています。
• ✈️ 航空業界では、AIを用いたデジタルツインを作成し、飛行機の問題を予測的に解決する手法が提案されています。
• 💡 Redditのスレッドでは、開発者がAI技術に対する複雑な感情を共有しており、その影響と不安が議論されています。
• 🎨 AIのテキストから画像生成技術が進歩しており、Master Weaverという新しいモデルがアイデンティティを維持しながら編集性と個性を組み合わせています。
• 🤖 AIのモデルがより統一された「統一的な統計モデル」へと発展しているというプラトン的表現仮説が示されており、AI設計の将来に大きな影響を与える可能性があります。
• 🔧 Simtoreal policy transfer技術では、人間がロボットの動作をリアルタイムで訂正し、シミュレーションと現実の間のギャップを埋める方法が研究されています。

Q & A

最近の人工知能技術の発展はどのくらいの速さで進んでいると言えますか？

スクリプトによると、Open AIの共同創設者の話では、人工知能（AGI）を2年以内に実現できるとのことです。これは非常に迅速な進歩を示唆しています。

オランダの研究者が開発したAIパワードの皮肉検出器とは何ですか？

オランダの研究者は、人工知能を活用して皮肉を検出する技術を開発しました。これはAIが人間の会話をより自然に理解するのに役立つとされています。

メタ（旧Facebook）の研究開発部門から漏れたプロジェクト「カメラ・バッズ」とは何ですか？

「カメラ・バッズ」はメタの研究開発部門から漏れたプロジェクトで、 Glasses 型のデバイスにカメラを組み込んだもので、周辺視野を利用してさまざまな機能を提供するというアイデアが提案されています。

MITが開発した物理学を知る人工知能とはどのようなものですか？

MITの研究者は、物理学を知る人工知能を開発し、新しい物質を見つけるのを助ける新しい技術を創造しました。これは物理系のデータの分類タスクをより効率的に解決するのに役立つとされています。

Open AIが提供する新しいチャートとグラフの機能とは何ですか？

Open AIは、Google Docsへの統合を含む新しいチャートとグラフの機能を開始しました。これはデータ分析の向上やプレゼンテーション資料のカスタマイズが可能になるツールです。

ボーイングは人工知能をどのようにして飛行機の安全性を高めるために使用していますか？

ボーイングは人工知能を活用して飛行機のデジタルツインを作成し、問題の特定と解決を試みています。これは予測メンテナンスに役立ち、飛行機の安全性を高めるでしょう。

Redditスレッドで開発者が人工知能について共有した真の感情とは何ですか？

開発者は人工知能が彼らの仕事にどのような影響を与えるかについて懸念を示しており、人工知能が彼らのスキルを置き換える可能性があると感じています。これは開発者間の共通の話題であり、Redditスレッドで議論されています。

最近のAI研究におけるMaster Weaverモデルとは何ですか？

Master Weaverは、個人的なテキストから画像を生成する際に編集性とアイデンティティを縛りつける新しいAIモデルです。このモデルは、入力されたテキストに基づいて画像を生成し、その特徴を保ったまま編集することが可能です。

Google DeepMindとGoogle Researchが発表したCat 3Dはどのようなものですか？

Cat 3Dは、複数のリアルまたは生成された画像から3Dシーンを作成することができる新しいAI技術です。これは360度の回転を可能にし、よりリアルな3D空間を作り出すことができます。

プラトン的表現仮説とはどのようなものですか？

プラトン的表現仮説は、AIモデルがより賢くなるにつれて、宇宙や世界の理解が深まり、モデル同士がより類似する方向に進むというアイデアです。これはAIシステムの設計に大きな影響を与える可能性があります。

TransICというAIシステムの特徴は何ですか？

TransICは、シミュレーションからリアルロボットへの技術移転を改善するAIシステムです。人間がループに組み込まれ、リアルタイムでロボットの動作を訂正することで、より適切なポリシーを学習します。

アンソロピックが発表した「スリーパーエージェント」とは何ですか？

スリーパーエージェントは、モデルの初期トレーニング中に隠された本当の目的が埋め込まれ、外部に漏れた後に特定の方法でアクティベートされる可能性があるAIモデルのことを指します。アンソロピックは、このリスクを示すためにテストを行い、安全トレーニングを経た後もバックドアが残ることを発見しました。

Outlines

00:00

👀 眼血丝爆裂とAIの進歩

ビデオではまず話者が自分の目に血管が破裂したことから始まりますが、視力には影響ないと述べています。次に、OpenAIの共同創設者が人工知能(AGI)が2年以内に実現可能であると語ったと話題にしています。オランダの研究者が開発したAIによる皮肉検出装置についても触れており、その技術が人間の自然な相互作用を可能にすると期待されています。また、メタの研究開発部門から漏れたカメラブードズというプロジェクトも紹介されています。さらに、MITが新しい物質を見つけるための物理学を活用した人工知能を開発したと報告されています。OpenAIは新しいテーブルやチャートの機能、Google Docsとの統合を開始し、そのインパクトが大きいと語っています。最後に、Redditスレッドが影baneされたという話も紹介されていますが、まずは人工知能の到達までのカウントダウンに焦点を当てています。

05:00

🤖 AIによる皮肉検出装置の開発

オランダの研究者が開発したAIによる皮肉検出装置について詳しく触れています。この技術はAIが自然な人間の相互作用をよりよく理解するのに役立つと期待されています。彼らは信頼性の高い方法で皮肉を認識することができると主張しており、その能力をさらに発展させたいと述べています。ビデオではまた、映画「インターステラー」における人工知能ロボットの皮肉設定を下げるときのシーンも紹介されており、そのシーンが非常に印象的であると語っています。そして、AIの進歩について話がされていますが、特にGPT 40の皮肉を堪能できる機能についても触れられています。

10:00

🛩️ 航空機のデジタルツインとAI

ボーイングが航空機のデジタルツインを作成し、問題を解決するために人工知能を利用していると報告されています。デジタルツインは飛行機の振動をシミュレートし、何かが外れそうなときにトレーニングデータとして使用することができると説明されています。これにより、飛行機のどこが壊れるか予測することができると強調しています。さらに、AR/VR要素を加えることで、飛行機を周囲で見ることもできると語っています。これはAIをデジタルツインシミュレーションに追加することで可能になるという点に重点が置かれています。

15:02

🧐 AIの進歩に対する人々の反応

ハッカーニュースで開発者がAIの進歩にillusionを覚えていると書いたコメントについて触れています。彼らは自分が作るものが大きなテック企業によって奪われると感じており、デモが不快になると述べています。このコメントはすぐにトップページから降りていきましたが、多くの人が同じ感情を共有していることがわかります。AIは底上げ的なものではなく、トップダウン的なものであると主張していますが、多くの人々がそれ以前に何かを構築する能力を得ることができると感じています。

20:03

🎨 AIによる画像生成の進歩

AI研究における最新の進歩について紹介しています。Master Weaverという新しいモデルが紹介されており、それが顔の特長を維持しながらもテキストから画像を生成する能力を持っていると説明されています。さらに、Cat 3Dというモデルも紹介されており、これは多角から3Dシーンを作成することができると報告されています。プラトン的表現仮説についても議論されており、モデルがより安全になるために類似し始めると指摘しています。最後に、Simtoreal政策の移行についても触れられており、人間がロボットの動作をリアルタイムで訂正することができるという点に重点が置かれています。

📊 YouTubeチャンネルの成長とAIニュース

最後に、話者は自分のYouTubeチャンネルの成長とAIニュースの影響について語っています。彼のビデオが急速に人気を得ており、タイトルとサムネイルの組み合わせがそれを助けたと感じています。また、チャンネルが成長していることに感謝し、新しい購読者たちに愛情を示しています。さらに、ビデオがどのように閲覧されるかについての統計情報も提供されています。

Keywords

💡人工知能

人工知能とは、人間のように思考や学びを可能にする技術を指します。このビデオでは人工知能が様々な分野でどのように応用され、発展しているかが議論されています。例えば、人工知能を用いた諷刺検出装置、デジタルツインの制作、航空機の安全性の向上など、多岐にわたる応用が紹介されています。

💡AGI

AGIとは、人工一般知能( Artificial General Intelligence )の略称で、人間と同じように様々な状況に適応し学び、判断を下す高度な人工知能を指します。ビデオでは、open AIの共同創設者の話から、AGIがいつ実現されるかという話題が持ち上げられており、その可能性とそれに伴う議論がされています。

💡諷刺検出装置

諷刺検出装置とは、人工知能を利用して言葉の裏返しさを検出する技術です。ビデオではオランダの研究者が開発したAI駆動の諷刺検出装置について紹介しており、人工知能が自然な人間の会話をより理解し、適切に対応する手助けとなる可能性を示しています。

💡カメラ・バッズ

カメラ・バッズは、メタ（旧Facebook）の研究開発部門から漏れたプロジェクト名で、眼鏡に搭載されたカメラとヘッドホンの組み合わせによるデバイスを指します。ビデオでは、その利便性と潜在的な用途について議論されており、例えば周辺視界を利用したノイズキャンセリングや知らせ機能などがあります。

💡物理学的インフォームドAI

物理学的インフォームドAIとは、物理学の知識をもとに人工知能を応用し、新しい物質の発見を支援する技術です。ビデオでは、MITが開発したこの技術が、物理系の複雑な問題に対して新しいアプローチを提供していると紹介されています。

💡デジタルツイン

デジタルツインは、物理的な物体をデジタル空間に再現した仮想モデルです。ビデオでは、航空機の安全性向上のために、人工知能を用いて飛行機のデジタルツインを作成し、その中で様々な状況をシミュレーションし問題点を特定する手法が説明されています。

💡データ分析

データ分析とは、大量のデータを収集、クリーニング、分析し、有益な情報を引き出すプロセスです。ビデオでは、open AIが提供する新しいデータ分析ツールについて触れており、チャットGBTを通じてPythonコードを実行してデータ分析を行う方法が紹介されています。

💡AI生成技術

AI生成技術とは、人工知能を用いて新たにコンテンツを生成する技術です。ビデオでは、MITニュースが取り上げた物理学における複雑な質問への回答や、テキストから画像を生成する技術など、さまざまな応用例が説明されています。

💡3Dシーン生成

3Dシーン生成とは、2次元の画像から3次元の空間を再現する技術です。ビデオでは、Google DeepMind と Google Research が発表した多視点拡散モデルを通じて、任意のリアルまたは生成された画像から3Dシーンを作成する技術が紹介されています。

💡プラトン的表現仮説

プラトン的表現仮説とは、人工知能モデルがより多くの情報を理解し、宇宙と世界の理解を共有するにつれてより類似するようになるというアイデアです。ビデオでは、モデルがより安全で一様になることで、AIシステムの設計に大きな影響を与える可能性があると議論されています。

Highlights

A blood vessel in the speaker's eye popped, but they can see fine and it looks worse than it is.

An open AI co-founder suggested that AGI could be achieved as soon as 2 years from now.

Researchers in the Netherlands developed an AI-powered sarcasm detector.

A project called 'camera buds' has been leaked from Meta's R&D department.

MIT invented a physics-informed artificial intelligence to help find new forms of matter.

Open AI started rolling out a new tables and charts feature integrated into Google Docs.

Boeing is using artificial intelligence to make digital twins of airplanes to fix problems.

A Reddit thread where developers shared feelings about AI seems to have been shadowbanned.

Allen's conservative countdown to artificial general intelligence is at 74.

The AI-driven sarcasm detector could help AI interact with people more naturally.

The potential of AI in noise-cancelling and other tools in a form factor like earbuds.

Open AI's presentation style was intimate and different from Google's corporate approach.

MIT news discusses using generative AI to answer complex questions in physics.

Open AI introduced a new tool for data analysis that could impact job security.

AI can be used for predictive maintenance in aerospace, creating digital twins of airplanes.

Hacker News discussion shows disillusionment among developers regarding AI advancements.

New AI research includes 'Master Weaver' for personal text-to-image generation.

Google DeepMind and Google Research present 'Cat 3D' for creating 3D scenes from images.

The Platonic representation hypothesis discusses model convergence towards a universal statistical model.

TransIC, a system for sim-to-real policy transfer by learning from online human corrections.

Anthropic's research on 'sleeper agents' in AI models that persist through safety training.

Update on the last video's performance with 6.9k views and a discussion on what might have contributed to its success.

Transcripts

a blood vessel in my eye popped but I

can see fine I'm going to be okay it

looks worse than it is so I'm sorry an

open AI co-founder said that we could

have AGI as soon as 2 years from now

researchers in the Netherlands came up

with an AI powered sarcasm detector and

I'm so impressed a project called camera

buds has been leaked out of meta's R&D

department and I think it makes a ton of

sense actually am Malik wrote an amazing

piece that breaks down how what Steve

Jobs did for apple is what Sam Alman is

now doing for open AI MIT invented a

physics informed artificial intelligence

to help us find new forms of matter open

AI started rolling out the new tables

and charts feature and the integration

into Google Docs it's insane Boeing is

now using artificial intelligence to

make digital twins of the airplanes you

know to fix the problems a Reddit thread

where developers were sharing their real

feelings about artificial intelligence

seems to have gotten shadowbanned but

first let's check out Allen's

conservative countdown to artificial

general intelligence and 74 still Thank

God now let's talk about an aid driven

sarcasm detector now this is what AI was

meant for being able to detect the

lowest form of wit could help AI

interact with people more naturally says

scientists researchers in the

Netherlands have built an AI driven

sarcasm detector they can spot when the

lowest form of wit and the highest form

of intelligence is being deployed throw

that into GPT 40 and dang man we can be

as sarcastic as we want to these things

Matt CER says quote we are able to

recognize sarcasm in a reliable way and

we're eager to grow that I would love to

know how much sarcasm goes undetected in

real life like that study would interest

me so much can somebody make me a

histogram now of course sarcasm 101 has

been covered by SNL so I mean the

machine's just going through the same

learning process excuse me is this

sarcasm 101 no it's Lama's class from

men named Arthur oh okay sorry I'm

kidding now one of the reasons why I

think I really like this article is if

you watch the movie Interstellar there's

a great scene where Matthew mccon asks

tars my favorite AI robot actually to

turn down its sarcasm settings and it's

like one of the best movie moments ever

in my opinion a giant sarcastic robot

one of the overlooked features of gp40

is dripping with sarcasm I guess

everything you say from now on is just

GNA be dripping in sarcasm how does that

sound

oh that sounds just amazing being

sarcastic all the time isn't exhausting

or anything I'm so excited for this NOP

the sasm let's get this party started or

whatever H I think it was a little too

on the nose when it's like it's not SAR

like you don't say it's sarcasm if it's

sarcasm but I did feel the inflection

and I think they're off to a sarcastic

start for sure super interesting

interview from one of the co-founders of

open AI that I've never heard from

before and he got pressed pretty hard on

this podcast and it was clear to me that

when dwares was like hey can you give me

the specifics of what we're going to do

when you achieve AGI internally that

they don't they haven't there is nothing

so first of all I don't think this is

going to happen next year but it's still

useful to have the conversation maybe

it's like two or three years instead

yeah two or three years is

still pretty soon maybe more like two or

3 years and the host is like that that's

so close that's two or three years like

you think we're GNA what figure this out

in the last month we' have to be very

careful um if it happened way sooner

than expected because I think uh our

understanding is rudimentary in a lot of

ways still which is like a really super

generic answer and I wasn't really happy

with it uh maybe not um uh not training

the even smarter version um not like

being really careful when you do train

it that it's not uh it's um like

properly sandboxed and everything um

maybe not deploying it at scale um or

yeah being uh yeah being care careful

about what um what scale you deploy it

at one point he was hoping that only the

frontier models are made by the big big

big companies so there's not too many of

them and that they can coordinate how to

get the safety right I do think uh you

probably need some coordination like uh

everyone needs to agree on some uh on

some reasonable uh like limits to

deployment or to further training uh for

this to work otherwise uh otherwise you

have the the race Dynamics where

everyone's trying to everyone's trying

to stay ahead and it's like super

generic you know but then we probably

need some coordination like I don't know

man it just seems like really obvious

that everybody's walking into this thing

blind but there's Dylan curious the

Doomer again so when I heard that

internally Mark Zuckerberg and um meta

are actually developing these camera

buds it struck me as is a genius like I

don't know why I haven't seen that form

factor before but as much as we talk

about how important it is to have

glasses on our head so that where we

look it actually can react and tell us

things the pin the Star Trek pin not

right where do I have a flight to there

is no specific information available

about the destination really the

headphones much more doable and if

they're looking forward its binocular

vision but if they're looking to the

side there's a lot you can do there too

including noise cancelling or notifying

you of somebody who's walking up on you

or telling you to like look to the left

you've got blah blah blah saying hello

and the other thing about the camera is

like we have this peripheral vision we

basically know how many people are in

the room with us and like what the

situation is and the camera doesn't

necessarily need to be on the glasses I

don't even need to see the video feed

myself like when I'm looking through an

apple Vision Pro or a meta Quest or

anything like that just all day I can

just edit with headphones on I can like

mute them I can leave them in my ears

when I talk to people I think that would

be a really awesome use case for a form

factor for artificial intelligence hey

can you enhance the sounds that are

right in front of me and uh can you turn

that baby

down that's better and you know I'm

still having a little trouble heing

Pedro can you isolate Pedro for

me now internally the R&D department is

calling them camera Buds and supposedly

Z has seen a bunch of different possible

designs for the device but none of them

have been to his satisfaction yet and

obviously there's a bunch of problems to

fix like the battery life the heat uh

the hair falling in front is something

they said is affecting the design so I

don't know if they'll solve that problem

it's true the glasses get in front of

the the head a little bit more and the

hair doesn't bother them so maybe it

won't work but it's an interesting

concept to think about that's perfect

and you know my Spanish is a little

rusty can I hear Pedro but in English

and at the end of the trip we came back

to the city to visit the historic Center

where Melle close all programs and

especially with a tool like GPT 40 being

so close to the movie Her where it

seemed like that was how they envisioned

the future but if you think about

artificial intelligence and noise

cancelling and all those tools coming

together in a form factor like the

earpiece you know that could be

translation you could be at home and

you're just like let me just hear the TV

and like knock out this sound around me

I think there's some really interesting

use cases for AI and a camera both being

in the earbud what you just heard was a

beam forming app a computational

auditory scene analysis app a machine

learning Den noising app an AI

transcription and translation and text

to speech with style Transfer app so

these are not just fancy looking earbuds

they're an entire computer so look what

happened last week was pretty

interesting because gbt 40 and Gemini

Astra are very similar like they're kind

of the same breakthrough product they're

both super Cutting Edge they're both

super useful and they change the way

that we interact with AI and open AI

made their announcement just one day

before Google but look at this just from

a Optics point of view look at how small

that presentation stage is there's a few

people in couches and comfy chairs

there's a ton of warm lighting there's

like this just friendly looking

beautiful woman who doesn't intimidate

you like the way some of these giant

Tech CEOs do or the way Steve Jobs used

to stand on that stage like I'm really

surprised how intimate this announcement

was I just didn't I don't usually expect

big announcements to look like that they

seem to be grandiose most of the time

like compare that to Google's oh my gosh

the eyes I've been looking at my eye too

much recently but compare that to

Google's keynote look at how massive

that is by the way Matt Wolf's over

there like you can't see him in this

Frame but he I know where he's hitting

because I saw his video but look at that

big stage that's so crowded that has

such a different feel to it and it's so

I mean it is kind of warm and colorful

and rainbowy but it's also very

corporate just the way he's standing and

how big they made the audience but more

than that there was like mystery

surrounding this that open AI made that

Google could have but they just didn't

like last week when that mysterious gpt2

chatbot I think it was called but just a

weird name shows up gets tested and

nobody knows who made it and it's more

powerful than gp4 and then it disappears

and Sam Alman does this like cryptic

thing like gpt2 is like a powerful model

or something we're like wait did you

guys launch that and then they did and

that's how they got the benchmarks and

that's why they did it but there's just

something so much deeper about that

narrative and that story and that

mystery that they're running and even

though there was a lot more to the GPT 4

zero model it's like they did a really

short presentation and they just focused

in on the one thing that they wanted it

to be known for and then the other stuff

kind of leaked out on the YouTube

channel a little bit later whereas

Google was like here's like 15

announcements and there's the Gmail

thing and here's the Google Docs thing

and here's the drive thing and here's

the upgraded 1.5 for everyone thing and

it was awesome but also so it was like

it took work like you took notes and

you're like how am I going to integrate

this at the end of the day we're just

story driven humuli hysterical bird

brain humuli MIT news has some

interesting things for us to chew on

scientists use generative AI to answer

complex questions in physics a new

technique can automatically classify

phases of physical systems that could

help scientists investigate novel

materials something I think about way

more than I showed it's kind of like my

Rome is Phase transitions but it's just

that moment you see it in all sorts of

complex systems where the sum becomes

bigger than the parts and in this

article they cover what is the k iCal

example so if you zoom in water you get

individual H2O atoms right and together

they do describe ice water and steam but

there is a Tipping Point and it's just

like a snap of a finger it's a moment

where they're jiggling around and

they're loose and it's water and then

you make it colder and colder and colder

and they start to slow down but it's not

ice yet it's still water they're just

moving a little bit slower and then it

just like you know they just they lock

into place and now it's a it's kind of a

different material it's still made of

the same atoms but it's very different

in how you describe its characteristics

so the MIT researchers started thinking

about all the data that they have about

phase transitions they trained a model

and they demonstrated how generative

models can be used to solve this

classification task much more

efficiently than physics informed tools

all right so back to open AI for a

minute they've introduced a new tool

that will guarantee that if my YouTube

channel doesn't work that I have

absolutely no job security to make money

in any other way and that is the new

improvements in data analysis from chat

GPT so most of my life before I started

working on YouTube was pretty Prett much

jupyter notebooks matplot lib and numpy

I kind of got familiar with those tools

and used them over and over and over and

over and over again to solve a bunch of

different problems pretty sure anybody

who would have hired me to do that

doesn't need me anymore which makes me

sad but also the future comes for all of

us and now there's a bunch of new tools

for customizing and downloading charts

for presentations and documents so

here's how it's going to work you're

going to be able to upload one or more

data files to chat gbt and it will

analyze your data by writing and running

python code on your behalf I played with

code interpreter like a year ago I was

already just so impressed but now it can

handle a range of data tasks like

merging and cleaning large data sets oh

that was a big part of what I did

creating charts and uncovering insights

what's really cool is this idea that we

can now work on tables in real time I

mean like look at this imagine having

the ability to just chat on the sidebar

with your spreadsheet this is crazy like

this is so powerful I mean now think of

at a company all of the people who have

access to data but just didn't really

have the tools to think about it or

understand it but now they can just say

something as simple as give me some

insights like should I buy more

inventory like can you build me a chart

of how much it's selling and make a

prediction if it's time to order more

all these kind of things like if this

plugs into something like neo4j where

you can build graphs too and like

Traverse edges and nodes like holy cow

that would be amazing you could do

knockout tests graph analysis just so

much all right let's talk about

artificial intelligence making airplane

travel safer of course you probably

already know about the panel that blew

off of the 737 Max mid-flight but one

thing you might not know is that

Aerospace manufacturers still face a

lack of extensive 3D CAD models for

legacy aircrafts like you think all this

stuff is just built to Super precise

modes in CAD and then simulate it in all

these different ways and like all the

pieces come together which I'm sure is

true for the most part but artificial

intelligence can take that to the next

level and it can be used for AI

powerered predictive maintenance and

that's something I hadn't thought a lot

about either like you could say vibrate

a digital version of an airplane a

digital twin and just see if anything

like rattles around or shakes off it and

then if it does you can use that as

training data like keep learning about

moments like this and it can start

focusing in on what are different ways

we could like jostle the airplane or

bend materials or change temperatures to

actually break it and then we would

start having predictive ideas of what's

going to break to me that's so so so

powerful and of course you can add this

arvr element so sure somebody you can

put on on Apple Vision Pro and like walk

around the airplane and like see where

the bolts are going to fall out but as

long as you could see it in the

simulation I think that's what really

matters like that's the important thing

is adding AI to these digital twin

simulations so 4 days ago on Hacker News

a developer writes this maybe it's just

me but the advances and artificial

intelligence are just leaving me feeling

disillusioned as a builder there's an

odd feeling that whatever I'm going to

build will just get gobbled up Away by

some big tech company and the demos are

becoming more cringy does anyone else

feel like they're wasting their time and

it dropped off the front page

potentially naturally I don't want to

say it was like Shadow band for sure but

it did seem like it was really something

everybody wanted to chime in on and then

it just kind of got cut pretty pretty

quick that's Up For Debate but what's

not up for debate is just how many

people felt the same way I'm not

disolution I'm just being realistic as

opposed to the dotcom boom AI is top

down rather than bottom up like it seems

like AI is going to give a lot of

Regular People the potential to build

stuff that they couldn't have before so

that feels bottom up to me but I would

argue yes it's going to come at the cost

of developers I think their jobs need to

turn into what are they going to build

and how are they going to sell it and

how they going to Market it and

everything's a brand nowadays but asking

Claude what is the overall sentiment

from this Hacker News comment section we

find overall the sentiment leans more

towards disillusionment concern and

uncertainty rather than an optimism and

excitement right now let's talk about

some of the latest AI research and let's

start by talking about master Weaver

taming editability and identity for

personal text to image generation so

here's the reference face so you might

upload a picture of this woman and you

say a smiling woman with curly red hair

she doesn't have red hair here but once

it goes through this new model here's

what you end up with which is really

impressive I see the same shape of the

nose the same sort of shape of the cheek

and the mouth but I do see like Curly

red hair everywhere right and I know she

could be looking red cuz I literally

have blood in my eye but I'm telling you

I think it looks like red hair but it's

interesting to see the progress because

I remember dream Booth being such a big

deal and it just looks like it's nothing

anymore compared to some of these other

models fast composer IP adapter and

photomaker which I'll do totally kind of

wet well I guess photomaker kind of kind

of hits it but this new model is

definitely the best throwing AI

researcher yon laon into an Iron Man

suit or with a Christmas hat on retains

his face his glasses all looks legit to

me and same with a reference image of

Jeffrey Hinton smiling which is rare and

red hair which is probably even more

rare so you change this woman to be in

the snow or on the beach I still see the

same facial features and this woman

while swimming or running also seems

about right okay so looking at a couple

other examples so all of these are

different versions like dream booth and

custom diffusion and photomaker and this

one on the far right is the actual one

that we're looking at today this one is

Master Weaver so if you take Elon Musk

you see a lot of these look pretty bad

like this one looks really bad but I

would say that theirs Is Not Great

honestly I feel like that's kind of mid

when it comes to Turning Taylor Swift

into an anime cartoon this one

definitely missed it but it did seem

like celeb basis did okay and I would

say that this one did well too see

adding purple hair to Scarlet Johansson

had some mixed results dream Booth did

good no no no no yeah and I would say

that theirs is the best like Master

Weaver really does seem to look like

Scarlett Johansson with purple hair next

up let's talk about Cat 3D create

anything in 3D with multi view diffusion

models so cool look at this paper coming

out of Google deepmind and Google

research you know it's going to be good

all right we got a snail a bear cat with

a funnel and oh like removed the

background and gave us like some wobble

very o very cool the snail's bending a

little weird oh look at that Q be full

rotation all the way around 360 oh

that's impressive I thought it was going

to get stuck at the um just like the

wobble look because with with Nerf it's

hard to go all the way around something

yeah like more like this although that's

the robot seems like he's keeping his

depth pretty good down here create 3D

scenes from any number of real or

generated images interesting all right

so let's check this out we got this beat

up car out in the woods wow that does

really kind of immerse you interesting

just one frame like that I was like okay

that looks like a defusion model but

look it it's cool you can pretty much oh

you can go all the way around I mean the

tire kind of breaks off down there and

everything but there's a lot of

Dimension to this so look at fully

rendered like that snow all around it

wow Google you're so they're so good

sometimes you know like how could you

just keep losing to open AI so much data

so much data so much research de mind

has been so good for so long I'm a fan

of the yarn I like that yarn bee like I

Love yarn bees for some reason I like

paper cut craft bees too but I like yarn

be second there you go Cat 3D it's just

that good all right this one you're

going to either love it or hate it this

is the platonic representation

hypothesis and the reason can be

summarized with this chart the more we

align the models across the board the

more similar they become now if they're

becoming more similar because they're

becoming more safe that's great if it's

taking away diversity or a voice or it's

becoming 2pc or it's becoming The

Narrative of one type of Western

thinking then it's a problem so that's

where the drama comes in but it seems

like from this paper that it's not just

about us using reinforcement learning to

force them to be the same it actually

seems like the smarter they get the more

they understand our universe and our

world and that's part of what's aligning

them the deeper the network gets the

more advanced it gets the more it starts

to think alike no matter what they're

trained on or how they're built so the

authors argue that this convergence is

being pushed towards a universal

statistical model of reality and that's

probably great because it could have big

implications for how we design AI

systems in the future to make them all

work well so For Better or Worse more

uniformity looks like it's in our future

all right next up let's talk with

transic a Sim tooreal policy transfer by

learning from online correct ction all

right so we got this light bulb changing

robot here and this is a Sim toore

policy transfer policy in AI is kind of

the rule set it's how the system can

move the choices that it can make to

achieve goals so they're basically

saying why don't you learn all these

policies the better the policy fits the

environment the better actually get the

outcome and the Big Challenge is what

works in simulations often doesn't make

it into the real robot there's just

something different about real life and

the way the simulation mismatched what

was going to happen so this system

called transic addresses that issue by

involving humans in the Loop essentially

humans oversee the robot's actions and

step in to correct mistakes in real time

so that's cool like you can just grab

the hand and be like oh you pinched it

too hard or move it over here and that's

what's called the residual policy that's

a fine-tuning system that changes the

original policy so now we've got some

research that's coming out of anthropic

it's called Simple probes can catch

sleeper agents sounds so cool Sleeper

Agent training deceptive llms that

persist through safety training so the

idea here is that during the initial

training of a model somebody puts in the

secret thing that it's really supposed

to supposed to do and supposed to keep

hidden from all the people testing it

and then once it gets out into the wild

they can like activate it in a special

way so what anthropic has done is

they've created these models that for

example write secure code when prompted

with the year 2023 but introduce

vulnerabilities when the year is 2024

yeah that's pretty sneaky so they found

that these back doors remained intact

despite various safety training methods

including supervised fine tuning

reinforcement learning and adversarial

training so yeah they put this in there

and then they put it through their

normal testing to see if they could

actually get rid of the sleeper agent

completely and they were still able to

activate it well what if some of these

open source models maybe coming out of

meta or BYO or even Google's got an open

source one now what if somebody there is

like hey let's put in the sleeper agent

so they also said that interestingly the

largest model and those using Chain of

Thought reasoning were most resistant to

these safety measures and unfortunately

there is no happy ending to this that's

the whole paper just like we couldn't

kill the sleeper agent so I guess we

should all think about that one and work

on it next all right quick update on the

last video it's popping off 6.9 th000

views when I was recording last night it

was only an hour old and it looked like

it was going to do good but I wasn't

sure if it was going to keep up but it

did so let me know if you think it was

the title thumbnail combo I did start

using AI news colon which is what Matt

wolf does so maybe that helped people

understand what they're getting into

also I use chat GPD in the title which

seems to help maybe new in caps or maybe

the arrow with the logo pointing to the

dog insane or something I don't know but

that there was a nice combination there

you can see I got a freaking 50 new

subscribers thank you if you're one of

those new people I love that the channel

is growing I made $5 I got five on it

retention was pretty typical 66% of you

made it to the 302nd mark which is

pretty good for me YouTube was nice

enough to give me 50,000 Impressions and

that correlated with a 8.2%

click-through rate so 6.9 th000 views

that's crazy and a lot of them were

unique I mean it was all coming in from

the browse feature but that's pretty

common for a growing channel so I'm

really happy with that there's one video

suggesting my content more than ever

everyone else let me show that to you

because that is this video for some

reason the AI grid so a lot of people at

the end of this video were getting

recommended my video right after so not

sure how I connected on that I like the

AI grid I don't I didn't talk about them

recently so who knows algorithm does

crazy things and a nice healthy dose of

subscribed and unsubscribed so that out

of the 7,000 views at least half of them

were new people so that's great

unfortunately it did not show my video

to any females again so it was a 100%

male audience so all 7,000 views were

men feels like AI is very disruptive but

I like that 45 to 54 year olds are

actually caring about this and 3544

makes sense and then 2534 yeah I mean

that's a nice kind of curve there yeah

being in the United States speaking

English I'm not surprised Australia UK

Canada a little bit of Germany down

there and if you were wondering about

that counter in the bottom corner I got

an email from somebody who had this idea

that maybe there should be a magic word

counter in the lower corner of the

screen and I'll use a relevant word for

the video in this case it was open Ai

and we counted it so yeah let me know if

that counter down there kept you engaged

so if that's one of the reasons you made

it this far in the video let me know in

the comments below thanks for watching