Elon Musk: “10X Every 6 Months” | Tyrants, Corruption, Free Speech and Preserving Consciousness

AI Unleashed - The Coming Artificial Intelligence Revolution and Race to AGI
8 Apr 202450:26

Summary

TLDRIn this podcast transcript, the host engages in a thought-provoking discussion about the rapid advancements in AI technology and its potential impact on society. The guest, an expert in the field, shares insights on the current state of AI, the race for technological supremacy, and the challenges of managing a tech company in a competitive global market. They delve into topics such as the importance of truthfulness in AI development, the role of regulation, and the future of electric vehicles and space exploration. The conversation also touches on geopolitical issues, the management of geniuses, and the balance between risk-taking and innovation. The guest emphasizes the goal of extending human consciousness and the pursuit of a future where technology serves the greater good.

Takeaways

  • 🚀 AI and technology are advancing rapidly, with AI hardware increasing exponentially and software breakthroughs occurring frequently.
  • 🌐 The global AI race is not just about algorithms, people, or computing power, but a combination of these elements, including data and electricity availability.
  • 🤖 The development of AI is drawing talent from various fields, such as physics, indicating its importance and potential impact on society.
  • 🔧 Hardware constraints, like chip supply and voltage transformer availability, play a significant role in the pace of AI development.
  • 🌍 China is expected to be a major player in AI development, with its large pool of smart individuals and growing technological capabilities.
  • 🚗 The transition to electric vehicles (EVs) is happening faster than expected, with countries like Norway leading the way in EV adoption.
  • 🛰 The potential for self-sufficiency on Mars is possible but requires a significant amount of resources and infrastructure to be delivered to the planet.
  • 🚀 Space exploration, including missions to Mars and the Moon, is a priority with the goal of making humanity a multiplanet species for the long-term survival of consciousness.
  • 🌟 The pursuit of truth and accuracy in information is a key goal for the development of the X platform (formerly Twitter), aiming to become the best source of truth on the internet.
  • 💡 Innovation and risk-taking are essential for progress, with the understanding that some failures are necessary for success and growth.
  • 🎮 Strategic and complex games can provide valuable insights and frameworks for understanding technological development and decision-making in real-world scenarios.

Q & A

  • What does the guest believe is the current state of the AI race?

    -The guest believes that AI is the fastest advancing technology, with hardware dedicated to AI increasing significantly and software breakthroughs happening frequently. They predict that AI smarter than any human individual will be achieved by the end of the next year, and that the collective AI compute will exceed all humans in 5 years.

  • What are the main constraints in the hardware development for AI?

    -The main constraints mentioned are the supply of chips, specifically Nvidia chips, and the transition to voltage Transformers. Additionally, the availability of electricity is expected to become a constraint in the future.

  • How does the guest view the role of data in training AI?

    -The guest notes that while the amount of data might seem vast, it is actually not enough for training advanced AI systems. They mention the need to look beyond books and consider all videos, podcasts, and other forms of content, and even then, there might be a need for more data, which could come from synthetic sources or real-world video.

  • What is the biggest challenge faced by the guest's company, X, in developing AI?

    -The biggest challenge is training their Gro version two model, which they believe will be better than GDP 4. The challenge is to get enough GPUs online to train it fast enough to complete the process in May.

  • What is the guest's perspective on the regulation of AI?

    -The guest believes that some form of regulatory authority is needed to ensure the safety of AI, similar to how other industries are overseen. They emphasize the importance of training AI to be as truthful as possible to avoid dangerous outcomes in the future.

  • How does the guest view the potential of electric vehicles?

    -The guest is highly optimistic about the future of electric vehicles, stating that it's only a matter of time before all vehicles go fully electric, including aircraft and boats. They believe that electric cars are inevitable and view the transition as a positive step forward.

  • What is the guest's strategy for competing with Chinese electric vehicle companies?

    -The guest acknowledges that Chinese companies are very competitive and make great cars. They do not provide a specific strategy but imply that they are aware of the challenge and are prepared to face it head-on.

  • What does the guest think is needed for humans to be self-sufficient on Mars?

    -The guest estimates that between one to ten million tons of supplies need to be delivered to Mars for self-sufficiency. They believe this can be achieved within 20 years with the current technology, requiring a large number of rocket flights.

  • When does the guest expect the first humans on Mars?

    -The guest predicts that the first humans on Mars could happen within seven to ten years after the first unmanned Starship lands on Mars, which they believe could be within about five years.

  • What is the vision for X, the company the guest recently acquired?

    -The vision for X is to become the best source of truth on the internet. The guest aims for it to be an 'everything app' where users can access text, audio, video, financial services, and more, all while maintaining a high standard of accuracy and fact-checking.

  • How does the guest manage geniuses in his companies?

    -The guest believes that highly intelligent and talented individuals manage themselves. He focuses on setting clear goals and expects team members to share and commit to these objectives. He provides his opinion and insists on attention to detail but does not manage them in a traditional sense.

  • What is the guest's approach to risk-taking in business decisions?

    -The guest is willing to take significant risks, especially when they are necessary for the success of a project or to avoid failure. However, he balances this by ensuring that the company is moving at high speed in the right direction and making necessary course corrections along the way.

Outlines

00:00

🤖 AI Advancements and the Global Race

The conversation begins with a discussion on the rapid advancements in AI technology, describing it as the fastest advancing technology ever seen. The guest shares insights on the exponential growth in AI hardware and software breakthroughs, predicting that AI smarter than any human could be achieved by the end of the next year. The conversation then delves into the challenges of the AI race, including hardware constraints such as chip supply and voltage transformer supply. The discussion highlights the importance of talent migration from fields like physics to AI and the critical issue of data availability for training AI models. The guest also shares thoughts on the biggest challenge in developing AI, the transition from the current model to a more advanced version, and the necessity of training AI to be as truthful as possible to ensure safety.

05:02

🌐 Global Talent and Hardware Challenges in AI

The paragraph continues the discussion on AI, focusing on the global distribution of talent and the challenges faced in hardware deployment. The guest mentions the concentration of AI advancements in San Francisco and London, and the significant contributions from China. There's an acknowledgment of the importance of programming AI with utmost truthfulness to prevent potential misuse of power. The conversation then shifts to the topic of electric vehicles (EVs), with the guest expressing optimism about the rapid conversion to EVs, especially in countries like Norway. The discussion also touches on the competitiveness of Chinese car companies and the expansion of the guest's companies into India and other markets.

10:02

🚀 Mars Colonization and Multiplanetary Species

This paragraph discusses the efforts towards making Mars self-sufficient and the technological and logistical challenges involved. The guest provides an estimate of the tonnage needed for Mars colonization and the number of rocket flights required to achieve this. The timeline for the first Starship landing on Mars and the potential for human travel to the Moon and Mars within the next five to seven years is also covered. The importance of becoming a multiplanetary species for the survival and expansion of consciousness is emphasized, with the guest expressing a vision of humanity extending beyond Earth and into other star systems.

15:06

🌍 Geopolitical Influence and Corporate Governance

The conversation turns to the geopolitical impact of the guest's companies, particularly in relation to Twitter and its role in providing a source of truth on the internet. The guest shares his vision for Twitter (renamed X) as the best source of truth, despite the challenges of misinformation and external influences. The discussion includes the handling of legal demands and the importance of maintaining free speech while combating misinformation. The guest also reflects on his role in managing geniuses within his companies, emphasizing the culture of hard work and the acceptance of failure as a part of innovation. The conversation concludes with the guest's thoughts on his legacy and the importance of understanding the universe and extending the 'light of consciousness'.

Mindmap

Keywords

💡AI race

The AI race refers to the competitive development and advancement of artificial intelligence technologies among various entities such as countries, companies, and research institutions. In the context of the video, it highlights the rapid progress in AI and the potential for AI to surpass human intelligence, indicating a global competition to lead in this transformative technology.

💡Hardware

In the context of the video, hardware refers to the physical components and infrastructure required to support and run AI systems, such as specialized computer chips and servers. The speaker discusses the significant increase in AI hardware, emphasizing its role in the advancement of AI capabilities and the challenges in supply chain, particularly mentioning Nvidia chips and voltage Transformers.

💡Data

Data is a crucial element in the development and training of AI systems. It refers to the vast amounts of information, in various forms, used to teach AI algorithms how to learn, understand, and make decisions. The speaker addresses the issue of having enough data for training AI, noting that while the amount of data might seem vast, it is still not enough to train advanced AI systems, leading to the need for more diverse and expansive data sources.

💡Electric vehicles (EVs)

Electric vehicles, or EVs, are automobiles that are powered by electric motors instead of internal combustion engines. In the video, the speaker discusses the transition towards electric vehicles, emphasizing their environmental benefits and the inevitability of a full shift to electric transportation, including cars, aircraft, and boats. The speaker also mentions the competitive landscape in the EV market, particularly noting the strong presence of Chinese car manufacturers.

💡Self-sufficiency on Mars

The concept of self-sufficiency on Mars refers to the ability to support human life and activities on the Martian surface without reliance on resources from Earth. The speaker outlines the challenges and requirements for establishing a self-sustaining presence on Mars, including the need to transport significant tonnage of supplies and equipment, and the development of technologies and infrastructure to produce food, water, and energy on the planet.

💡Regulation of AI

The regulation of AI pertains to the establishment of rules, policies, and oversight mechanisms to ensure the safe and ethical development and use of artificial intelligence technologies. In the video, the speaker suggests the need for a regulatory authority to monitor AI safety, comparing it to existing regulatory bodies for other industries such as aviation and pharmaceuticals. The speaker also emphasizes the importance of training AI to be as truthful as possible to prevent potential misuse of power and unintended consequences.

💡X (formerly Twitter)

X, previously known as Twitter, is a social media platform that the speaker has acquired and rebranded with the goal of becoming the best source of truth on the internet. The speaker discusses the platform's commitment to accurate information, the community-based fact-checking system, and the challenges of dealing with misinformation and political pressures. The vision for X is to serve as a platform for free expression, idea exchange, and truth-seeking while combating attempts to manipulate information.

💡Geopolitical influence

Geopolitical influence refers to the impact and power that an individual, organization, or country has on international political events and relations. In the video, the speaker's companies and initiatives, such as electric vehicles, Starlink, and Twitter (now X), have positioned him as a significant figure in global politics. The speaker discusses his intentions to use this influence to advance the future of humanity and consciousness, rather than for political manipulation.

💡Innovation

Innovation is the process of creating new ideas, methods, or products, often resulting in significant changes within industries or societies. The speaker emphasizes the importance of accepting failure as a part of the innovation process, and the necessity of fostering an environment that encourages risk-taking and learning from mistakes. He also discusses the balance between calculated risks and bets on unproven ideas, using the development of the Cybertruck as an example of a radical innovation that was affordable to attempt due to its non-critical nature for the company's overall success.

💡PhDs and research

PhDs and research represent the academic and scientific exploration of various fields of knowledge. The speaker expresses a critical view of the utility of many PhD theses, suggesting that most of them have low practical application. However, he acknowledges the rare but significant contributions to knowledge that can emerge from academic research, which can inform and guide the development of technologies and industries.

Highlights

The rapid advancement of AI technology, with hardware increases in capability by a factor of 10 every year or less.

The prediction that AI could surpass human intelligence individually by the end of the next year and collectively in 5 years.

The transition in hardware deployment from chip constraints to voltage transformer supply challenges.

The influx of top talent from various fields, like physics, into AI due to its fast-paced development.

Algorithmic breakthroughs in AI and the challenge of encountering data limitations despite vast amounts of information.

The importance of training AI to be as truthful as possible to ensure safety and avoid dangerous programming biases.

China's position in the AI race, with a focus on their competitive AI developments and smart people.

The accelerating shift towards electric vehicles (EVs) and the inevitability of a fully electric future for vehicles, including aircraft and boats.

The competitive nature of Chinese car companies in the global electric vehicle market.

The vision for Tesla in India, aiming to introduce electric vehicles to keep pace with the country's growing population.

The goal for Mars colonization, estimating the tonnage needed for self-sufficiency and the timeline for achieving it.

The first Starship landing on Mars expected within 5 years, with an aim for crewed missions within 7 to 10 years.

The importance of becoming a multi-planet species to ensure the longevity of consciousness and survival.

The vision for X (formerly Twitter) as the best source of truth on the internet, with a commitment to fact-checking and community notes.

The impact of geopolitical events on X, with a focus on handling demands from authorities and maintaining integrity.

The balance between speed and analysis in decision-making, emphasizing the competitive advantage of speed.

The approach to risk-taking in innovation, accepting failure as part of the process and learning from mistakes.

The value of research and PhDs, with a critical view on their utility and the importance of practical application.

The insights gained from strategic video games and their influence on planning and running companies.

The legacy of contributing to the future of consciousness and understanding the nature of the universe.

Transcripts

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hello hi alone hi hi hi everyone and big

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thanks for taking the timeon you know

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we've been trying to get you on the

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podcast since uh we started it two years

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ago so we are super pleased that we that

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we have you on and indeed on your

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xplatform how cool yeah uh it's pretty

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cool yeah I mean you have like lots of

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people from all around the world uh

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simultaneously do effectively a

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real-time podcast and uh it works pretty

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well very good well we have so much to

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talk about so uh love to kick off with

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with AI um now what's your take on where

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we are in the AI race just

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now wow that's a long answer

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um there's there's so much happening in

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AI is the fastest advancing technology

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that I've ever seen of any kind and I've

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seen a lot of Technology um you barely a

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week goes by without some new

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announcement so uh and and if you look

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at the amount of uh AI Hardware the

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computers coming online that are

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dedicated to AI that is increasing what

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looks like at least by a factor of 10

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every year if not every six to n

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months so when you combine the hardware

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um Coming online really order of

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magnitude increase every you know call

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at least every nine months um and uh

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many many software breakthroughs uh if

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if you look at that that curve it looks

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insane so I think we'll

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um my my my guess is that we we'll have

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ai that is smarter than any any one

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human probably to around the end of next

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year um and then

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AI the total amount of sort of sentient

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compute of AI I think will probably

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exceed

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all humans in 5

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years what what is the what is the race

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about just now is it algorithm is it

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people is it computing power what what

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is it about just now is it the supply of

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chips just what is

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it yeah last year it was uh chip

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constrainted um and the hardware

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deployment we break it down into the

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three areas of people um data and

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Hardware I'm starting with Hardware uh

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last year it was about a chift supply

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people could not get enough um Nvidia

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chips particularly um this year it's

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starting to transition to a voltage

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Transformer Supply so actually getting

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enough voltage

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Transformers uh put in place so my sort

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of very Niche joke is Transformers for

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Transformers because a lot of the AI

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That's run is called a Transformer so

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you need Transformers to run

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Transformers um and then next in the if

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you look out a year or two or certainly

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3 years um it's just electricity

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availability

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so that's those those constraints in the

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hardware

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side

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um so many of the smart World smartest

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people are are doing AI people that

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would have done physics before in fact

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or had have done physics for example

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have moved into AI because it's just the

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fastest moving field so we're seeing a

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lot of the best talent a lot of the

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smartest humans going into to Ai and

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then uh we see along with that

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algorithmic

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breakthroughs um and then then you start

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hitting the the wall with the the data

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problem um so

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the you know you can fit all books ever

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written um just the text the the text in

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compressed form uh on one hard drive or

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call one one

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computer um so when you when you're

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looking at like

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so called tokens to train on yeah uh and

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you you still think of like all the

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books ever written in every in in all

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languages by All Humans sounds like a

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lot certainly it's far more than any one

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human could could ever read um it

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actually is a small it's a small number

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of train training tokens it's just not

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enough so then you you start having to

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look at all the videos have I created um

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you know all the podcasts all the

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everything

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um and and you start even running out of

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data there well hopefully they hopefully

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they will include this podcast uh that

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definitely will include this podcast

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what's the biggest challenge you have

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with uh with

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xai well X is still relatively new so

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it's not um you

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know

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uh like the limiting factor right now is

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just training our Gro version two model

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which should be we think better than GPD

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4 um and that's we're hoping to complete

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that in May so that's that's training

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right now so it's just really we're just

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trying to get enough gpus online to

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train it fast enough to get that done in

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May um which I think probably will

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happen um and

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then and that's with uh roughly 20,000

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h100s uh and and doing I think very

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efficient training

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then the next step would be for grock 3

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which would be I guess G55 or Beyond uh

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would you know requires uh 100,000

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Nvidia h100s training

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coherently so that's you know a half

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order of magnitude basically more

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training um and then you really start to

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have running into this data problem

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where you you have to either create

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synthetic data or use real world video

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those the the two sources of kind of

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like unlimited data uh synthetic data

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and real world video which I should say

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Tesla has a pretty big advantage in real

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world video um T has by far the most

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real world video of anyone yeah you've

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got a huge library that so when do you

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think so when do you think we'll see

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proper

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AGI well it depends on how you define

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AGI if you define AGI as smarter than

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the smartest human I think it's probably

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end of next year like like within two

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years

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um but but that's that there's still

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there's still a pretty big leap beyond

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that to say smer than the the machine

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augmented human Collective so like is it

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smarter than all humans working together

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uh who are also using computers to

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augment their output and that that I

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think is probably five years away one

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one way to look at it is is is to try to

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assess um like roughly what is the ratio

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of digital to biological

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compute um and the so biological compute

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are all the human brains that are

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thinking and that's that's a pretty

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static that's that's

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not hi sorry hi sorry I don't know where

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we had some be back online here yeah I

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think somebody I think somebody hacked

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us we must have some we must have some

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enemies um last question on um on AI any

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your thoughts on regulation and um how

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it should be

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structured well I I think we probably do

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need some sort of regulatory authority

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to look at the safety of AI um just as

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we have regulatory authorities in other

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Arenas to um you know o oversee aircraft

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and the safety of aircraft and cars and

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and other things you know medication

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so

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uh the rate at which AI is progressing

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is is fast is faster than probably any

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regulatory agency can keep up with

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um but but I do have a comment on what I

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think is very important

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for achieving safe AI which is that uh

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it's very important to train the AI to

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be as truthful as possible um and not to

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uh yeah just to be as truthful as

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possible

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um the I think you can get some very

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dangerous things when you program an AI

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to be politically correct think that

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things that may

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seem uh relatively innocuous now but

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will not be so in in the future if AI

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has immense power you can take the

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Google Gemini example where it it

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refused to publish to produce a picture

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of George Washington as a white man and

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and any in fact any historical figure

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would automatically be

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made

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diverse um because it's been programmed

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to insist on diversity which sounds you

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know perhaps okay at first but not if

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the AI has so much power that it can

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actually enforce diversity and decide

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there's too many of one kind of people

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or too many of one sex and kill

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off just just kill off enough until the

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the diversity number is is what it's

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programmed to believe is correct but

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don't you think this will be sorted out

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in the next

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version no we don't think so where is

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China where is China now in a relative

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to the US next verion no they'll make it

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more subtle okay and less obvious but it

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will still be

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there okay well we'll see but where

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where is China where do you where is

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China now in I relative to

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us um I I don't know exactly where China

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is uh except there are a lot of very

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smart people in China um and they it

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won't be they won't be far behind the

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rest of the world or far behind the US

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um I mean the AI a right now

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is very concentrated in San Francisco

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and

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London um and then you know there's

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there's you know a lot happening in in

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China but I I'm I don't have insight

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into what they're doing uh except that

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they I'm confident they will not be far

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behind uh what is developed in the west

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yeah um

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so but but but mark my words the if if

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uh if we do not program an AI to be as

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truthful as

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possible that that is where it will go

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AR that is where the danger

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[Music]

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lies yeah mve moving tare moving to to

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Tesla um is is the EV conversion now

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going slower than you had expected just

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where is the speed need of conversion

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now relative to your

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expectations I think it's going quite

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fast actually especially in Norway um

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absolutely well it's pretty much all

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there is is your your

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Teslas yeah there's a lot of Teslas in

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Norway it's crazy thanks I once again

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like to thank Norway for the support of

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electric

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vehicles um so much

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appreciated time

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so and I think

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it's we will the

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that that electric that all vehicles

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will go fully electric uh it's only a

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matter of time um that includes aircraft

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ultimately and boats um obviously trains

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the only thing that is ironically

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difficult to where you can't really make

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it electric is Rockets because you need

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you can't get away from um having to

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expel Mass uh sort of Newton's thirdd

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law um but but all cars will be electric

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it's only matter time and we'll look

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back on combustion cause in the same way

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that we look at back on uh steam

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engines

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um that that it was it was inevitable

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that there would be internal combustion

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cars and that and it just as inevitable

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that all cars will go electric um and um

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there will be some e and you know so

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like it going to be a completely

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straight up line there will be some uh e

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and flow in how how far electric cars go

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but that but the ultimate um victory of

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electric cars is inevitable um and and I

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think the sooner we get there the better

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yeah how do you see the Chinese

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competition here

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now we generally find that the companies

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in China are the most competitive in the

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world and certainly in uh electric

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vehicles or cars in general the Chinese

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car companies are by far the most

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competitive um yeah that's where where

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we find the most toughest toughest compe

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competitive

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challenges they make great cars and they

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work very hard so when you ride in one

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of the Chinese cars what do you think I

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mean you're an engineer you know what

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about it what do you what do you

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think I haven't R I have not ridden in

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one lately

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but

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uh because they're not all available

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here you know in the US or very few are

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available in the US um some are

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available in Europe um but from what my

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team tells me they are very

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good now you are moving into India here

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as well in terms of production what are

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your what are your thoughts here sorry

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moving into where to India Oh India yeah

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uh yeah I think it's you know India is

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sort of a it's India is now the most

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populous country in the world you know

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the biggest population um and I think

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there we India just should have electric

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cars just like every other country has

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electric

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cars um and

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um yeah so it's a natural progression

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to provide electric Tesla electric

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vehicles in

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India

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yeah uh moving moving out out in space

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um what what would it take to be

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self-sufficient at

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Mars to be self-sufficient Mars it's

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really about the the total tonnage that

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is delivered to the surface of Mars um

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so you can say like

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well um I I think it's probably on the

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order of a million tons maybe it maybe

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more but somewhere between probably a

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million tons and 10 million tons are

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needed to make Mars self-sufficient and

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how many Rockets is

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that well I gave a presentation on this

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recently if people look at my my recent

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uh SpaceX talk

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but if you if you have uh

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100 really uh if you have 100 tons per

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flight you need 10,000

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flights to get to a million million

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tons um and that's 100 tons landed to

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the surface of Mars so in order to get

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100 tons land to the surface of Mars you

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need 500 t five times that number in

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Earth orbit um so we do a lot of orbital

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refilling um so launching sort of uh

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Rockets uh tanker ships over and over

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again that that would replenish the

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propellant of the ships that would go to

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Mars um and then You' need on roughly on

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order of 10,000 of them uh to get to a

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million tons um and

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uh but we we plan to do that that that's

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uh that's we we think we can get that

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done within 20 years really so and when

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do you think so when do you think we'll

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be there for the first time

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first first uh well the

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first Starship that will land on Mars

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which obviously will not have people at

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first I think it's probably within about

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5 years um and then it would probably

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launch several ships and

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just confirm that they can land okay on

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Mars um we'll also be doing the moon

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simultaneously with that so uh go taking

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well I think I think we'll get people

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back to the Moon I should say within 5

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years and we'll get uh uncrewed ships

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landed on mons within 5 years and and

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then we be building up the production

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rate um and improving the design of the

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booster in the ship so

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um so in the first people on Mars I

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think within seven years or so 7 to n

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years um and from from there we need to

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rapidly increase we need massive numbers

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of ships going and Earth and Mars Only

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are in the same quadrant of the solar

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system roughly for six months every two

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years or or at

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least it's only possible to really

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transfer

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efficiently um from Earth to Mars I say

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every six months but really there's

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about there's a couple months where

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where it's ideal every 26 months um so

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every two years you would see a

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basically a fleet depart Mars I I think

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we quite a spectacular thing to see a

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thousand ships depart from Mars all at

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once like Battle Star

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Galactica what kind of new technology do

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we need before we'll be self-sufficient

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there actually I think we have all the

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tech we already know all the technology

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that's necessary for that it just needs

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we just need to build so no new physics

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is needed for this why is it so

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important for

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you I think it's important for

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Consciousness in

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general um so if if we wish to maximize

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the lifespan of

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Consciousness then being a multiplet

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species will result in a much

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longer uh existence of Consciousness

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Consciousness than if we on one planet

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if you're on one planet we're simply

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biting our time until there's eventually

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a Calamity it could be soon it could be

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a long time but eventually something

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will happen it could be you know global

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thermonuclear war it could be simply

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That civilization merely subsides C our

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civilization may not die with a bang it

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may die with a whimper just just

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gradually falling into obsolescence but

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if we're a multi-planet species then

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we've got two planets and yeah and they

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can support each other um and we can go

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beyond two planets ultimately to the

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moons of Jupiter to the to the

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uh um you beyond to the the outer parts

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of the solar system and ultimately to

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other star systems

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so this tiny this tiny candle of

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Consciousness that we have in this vast

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Darkness can be

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extended um and Amplified and we're just

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far more likely to uh survive as for for

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Consciousness to survive if we are a

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multiplet

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species you don't think it' be better to

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use all these resources and try to sort

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out

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Earth well just to put this into

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perspective the amount of resources I'm

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talking about for making life

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multiplanetary would be less than 1% of

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all resources on

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Earth so really can think of it as

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resource allocation do you think it's

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worth spending half a percent of Earth

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Resources to ensure uh that we have

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redundancy in Consciousness and that we

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extend Consciousness Beyond Mars to

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other planets to to Mars and other

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planets and ultimately other star

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systems um and then also take into

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account the fact that there are certain

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inevit there are certain things we

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simply cannot aoid on Earth um like is

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it within your power of mind to stop

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World War I I don't think so no if it

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happens um and if we have Global ther

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nulear Warfare our technology level will

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drop to the stern

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age um and we may never survive and then

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there are we maybe get we may get hit

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like by a comet like the dinosaurs and

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um you know if the dinosaurs had

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spaceships they they' probably still be

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around um so and then if if you wait

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long enough the Earth the the sun will

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continue to expand and eventually engulf

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Earth and destroy it and destroy all

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life so just to give it amount a certain

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amount of time no matter what you do on

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Earth no matter how careful you are um

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Earth will life all life on Earth will

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die that it will happen is a certainty

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it's a big Gloom of this no

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um so

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um on a slightly uh less gloomy note uh

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X Twitter yeah um what is your vision

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now what do you how do you see the the

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vision of

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x i goal of X is to be the best source

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of Truth on the

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internet um and I think we're making a

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good you know good progress there I mean

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this it's we to be like I call the

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everything app like if anything you want

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to do you can do on the xplatform um

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whether it's text audio video

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uh payments Financial stuff

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um Communications of all kinds um and

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then but but then also where there is

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publicly disseminated information is to

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be the best source of Truth um and I

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think it I think it already is that um

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now people may say oh there's some piece

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of misinformation disinformation I say

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yes but look look at the replies the

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replies correct that misinformation and

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look at Community notes and the and how

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good the batting average of community

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notes is it's extremely good it's by far

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the best factchecking system on the

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internet

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um so and and and a lot of people still

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labor under the illusion that the the

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the Legacy newspapers that they read are

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actually true there's so much nonsense

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in them I mean Nico how many times when

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do you read an article in a newspaper

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where you know the circumstances of what

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that article is and how often is it spot

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on no of course it's uh normally no no

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of course we all know it's normally

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wrong but but how do you look not sure

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but how do you look at the situation now

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for instance with with with Russia uh

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you know the work Russia does in Germany

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with fake accounts on it's pretty pretty

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huge uh activity

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right I mean we don't see a lot of

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Russian activity to be frank um on the

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system um

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so we we see very little

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um we do see we do see a lot of lot of

play22:53

attempts to influence things but they

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seem to be coming from from the West not

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from from

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Russia right what about um what about

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things like the latest developments in

play23:04

in

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Brazil and yeah sure yeah so the

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the

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uh we we kept getting these demands from

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um uh this uh Judge Alexander um that's

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his that's his name on Twitter Alexander

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um and there would be to suspend

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accounts um immediately we're given

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typically two hours to suspend an

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account or face massive fines um and the

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the final stoies we were we being given

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demands to suspend setting setting

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members of the parliament and major

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journalists and moreover we could not

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tell them that it this was at the behest

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of uh as under Morales we had to pretend

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that it was due to our rules of service

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and that was the final straw and we said

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no now um when you when you bought

play24:09

Twitter um now renamed X did you expect

play24:12

that you would end up in these type of

play24:13

situations so it's is all

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unexpected well I knew it wouldn't be

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just a total B of roses um you know and

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it's talk I

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wouldn't

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um no I mean I thought it would

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be since we're just like rigorously

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trying to pursue the the the goal of

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being the most accurate and truthful

play24:43

place in the internet and that that

play24:44

doesn't mean that what is said is always

play24:46

true or accurate but is it is perhaps

play24:48

another way to frame it is as the least

play24:50

inaccurate place on the internet do you

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do you secretly do you secretly think

play24:54

this is a bit

play24:56

fun it's fun yeah yeah it's fun at times

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it's stressful at times and it's fun at

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times um but overall we're trying to

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serve the people of Earth um and and and

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this is sort of an es sort of maybe an

play25:09

esoteric way of viewing it but um to try

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to be kind of like the the group

play25:14

consciousness of Earth so you can think

play25:17

of like if each person is like a neuron

play25:20

contributing to like the collective

play25:21

brain of Earth and you want to try to

play25:23

minimize the noise and maximize the

play25:25

signal of every neuron that's connected

play25:27

to the the X Network that that's

play25:30

basically what is what is the collective

play25:32

will of of humanity and and how and and

play25:36

and how to yeah just serve the

play25:39

collective will of humanity and serve

play25:41

the greater good that that's our goal um

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now you know there's there's definitely

play25:47

going to be people who want to

play25:48

manipulate that information and so we

play25:50

have to fight that and try to have uh

play25:54

you know be be the most accurate place

play25:56

as to the best of our ability

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and have it be kind of a Marketplace of

play26:00

ideas where people can propose ideas and

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you know debate them

play26:06

and um I think so far it's working

play26:10

reasonably well in that regard um now

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people that don't like the truth will

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not like those ex or if they want to

play26:16

manipulate things they will not like it

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but only but only a few years ago you

play26:21

were you were a guy

play26:23

um producing electric vehicles now you

play26:27

are you know through starlink you've had

play26:30

some you know I mean some big impact in

play26:33

in

play26:34

Ukraine uh with Twitter you are kind

play26:37

of into some issues in uh you know

play26:40

Brazil India

play26:42

Turkey um you know you becoming like a

play26:44

real geopolitical

play26:46

force and a really important one how do

play26:49

you how do you look at

play26:53

that well like I said I'm really I'm

play26:56

trying

play26:57

to take the set of actions that maximize

play26:59

the probability that the future is good

play27:02

um I mean we have to keep

play27:05

civilization going onward and upward as

play27:08

much as possible and um and try to

play27:11

minimize the civilizational threats that

play27:13

occur um like you know we we we can't

play27:16

get to Mars if civilization collapses

play27:19

it's not going to happen so

play27:23

um you know we've got to we've got to

play27:26

keep

play27:27

um keep civilization going um and I

play27:31

think we should view our civilization as

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being much more fragile than we think we

play27:37

kind of take for granted it's always

play27:38

going to be there but actually if you

play27:40

study history you realize that there

play27:42

arise you know there's RIS P

play27:45

civilizations um I mean I was I was

play27:48

reading in depth about the ancient

play27:50

samarians um who were arguably the first

play27:54

civilization if you call civilization

play27:55

like writing and stuff you know they're

play27:57

the first to

play27:58

writing um and uh but eventually they

play28:03

died out and they were

play28:06

gone so and then nobody could read their

play28:08

writing at all and and they they just

play28:10

faded out as a

play28:12

civilization um but they're pretty

play28:14

impressive in their time and the ancient

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Egyptians the same thing um and uh you

play28:21

know one sort of one after another uh

play28:23

ancient Greek had it Greece had its day

play28:26

uh you know China and India had will

play28:29

have incredibly impressive populations

play28:31

but there's been EVs and flows in the CH

play28:34

China and Indian civilizations over the

play28:36

the the aons you know the

play28:40

bennia as well um

play28:43

so you know I I guess I'm just trying to

play28:46

take this this set of the steps that

play28:51

um increase uh the scope and scale of

play28:55

Consciousness that's that's what I'm

play28:56

trying to do it's but it's not that I'm

play28:58

trying to have a put a political thumb

play29:01

on the scale or anything like that um

play29:03

but I I think I'm trying to have the

play29:05

political will go where the people want

play29:07

it to

play29:08

go you know you you mentioned some um

play29:12

some uh really smart people here and um

play29:15

kind of just moving t a bit here to

play29:17

copal culture now you manage a lot of

play29:19

geniuses in your in your companies what

play29:22

is the key to manage really smart people

play29:25

you

play29:27

think

play29:29

I don't I don't think I manage smart

play29:31

people they manage themselves

play29:34

um I I think

play29:37

you well I guess with really smart

play29:39

people you know I don't really think of

play29:41

of it like managing them I think that if

play29:44

somebody's very smart and talented they

play29:45

they can go anywhere and do anything any

play29:47

time like if they they they don't have

play29:49

to work with me they could go

play29:51

anywhere so I I really just say like

play29:53

look this is the the goal we're after

play29:56

and this is what we're trying to achieve

play29:58

and do you agree with this goal and if

play29:59

you do then let's try to get it done um

play30:03

and um you know provide my opinion along

play30:06

the way and but I it's very rare for me

play30:10

to actually sort of insist on a on on a

play30:14

particular thing once in a while I'll

play30:15

say look guys you just got to trust me

play30:17

on on this one we got to do this thing

play30:21

and if it turns out to be a bad

play30:23

decision you we can can all hold that

play30:25

against me in the future but you have an

play30:27

incred are for detail right I mean when

play30:30

we read the is book um it's pretty clear

play30:33

that you I mean you really are are deep

play30:36

into detail and know what you talk about

play30:37

so how do you how do you balance this um

play30:39

kind of micromanagement of some areas

play30:42

and then delegate other

play30:45

areas I wouldn't I wouldn't call it

play30:48

micromanagement

play30:51

um it's just insisting on atttention to

play30:54

detail that um if you're trying to make

play30:57

a perfect product you must have

play30:59

attention to atten attention to details

play31:02

essential

play31:04

um and I haven't actually read the Ison

play31:06

book you should it's very good actually

play31:09

I loved

play31:10

it well I I asked alter Ison if I should

play31:14

read it and he said I shouldn't

play31:17

um so so

play31:21

then said I shouldn't read it so okay

play31:23

well I'll um I'll ask you some questions

play31:25

from the book then they you he talks

play31:26

about you know you the kind of a

play31:28

hardcore and Ultra Hardcore

play31:31

culture what is an Ultra Hardcore

play31:34

culture I guess it's work I mean it's

play31:35

working culture right I mean how how I

play31:38

mean Ultra hard work how hard is

play31:43

that well when things get really intense

play31:45

you're basically just working every

play31:47

waking

play31:48

hour and how and how long can you do

play31:50

that

play31:52

for I've done that

play31:55

for well continuous for sometimes like a

play31:59

few years what does it what does it do

play32:02

to you it really it's

play32:06

pain um and and every waking out maybe

play32:09

is an exaggeration because there are a

play32:11

few hours um obviously with friends and

play32:14

family and and critical other things um

play32:18

but 100 hour weeks would be I I've done

play32:20

many many stretches of 100 hour weeks

play32:22

like true 100 hour weeks

play32:24

um where roughly six hours per day is

play32:27

sleeping

play32:28

um I would not recommend that this is

play32:30

not that's for emergencies you know it's

play32:32

not uh all the

play32:35

time um you know during very difficult

play32:39

times at Tesla I've had to do that and

play32:42

at sometimes at the beginning of my

play32:44

earlier startups I did that where I just

play32:46

wouldn't leave the office I would just

play32:47

sleep under my desk and just work seven

play32:49

days a week

play32:52

um sometimes it's necessary for success

play32:54

or or to avoid

play32:56

failure um but but do you you do you

play32:59

enjoy being in this crisis

play33:02

mode no I don't it

play33:09

sucks okay no I I don't want to be there

play33:13

it's

play33:16

pain but sometimes it's the difference

play33:18

between success and

play33:26

failure oh when you make decisions how

play33:30

important is

play33:33

speed he just gave me an idea which is

play33:36

um I'm going to invite the uh Judge

play33:41

Alexander R uh to do a spaces and then

play33:44

he can explain why what I'm doing is bad

play33:49

and and and maybe he's

play33:50

right I challenge I challenge him to a

play33:55

spaces sounds good yeah but what about

play33:58

speed when you make when when you make

play34:00

decisions how how important is speed and

play34:02

how do you how do you balance analysis

play34:04

with your gutfield

play34:11

I think the

play34:15

the the best offense and defense is

play34:19

speed if you think of something like the

play34:21

SR71 Blackbird it really had almost no

play34:24

defenses except

play34:25

accelerate and it was never shut down

play34:27

even even once like I think over 3,000

play34:29

missiles were shot at the sof 71 black

play34:32

boat and none

play34:34

hit and and really what it did was just

play34:38

go faster so the the power of speed

play34:42

is uh underappreciated as a competitive

play34:48

Dimension um is that

play34:50

why um you know space expence has been

play34:54

so successful because you've been mean

play34:56

and lean as an organization

play34:59

and fast I think speed speed is uh

play35:02

definitely a factor I should say you

play35:04

want to go in the case of a company you

play35:07

you you need to be a vector not a scaler

play35:09

so it can't be you you need to go at

play35:12

high speed in the right

play35:16

direction

play35:18

sure so I can't just

play35:21

so and no company's going to be going in

play35:23

the right direction all the time so you

play35:24

have to do course

play35:26

Corrections like a guided missile you

play35:28

qued course Corrections um and uh but in

play35:33

the case of SpaceX it's like okay our

play35:35

goal is to extend Humanity beyond Earth

play35:39

um and we didn't even know how to even

play35:42

frame the question correctly like what

play35:45

what which knew that that was the

play35:47

General

play35:48

goal um we didn't know what pent we' use

play35:52

or what the raw materials would be or

play35:54

for the how would the rocket be built

play35:55

how would it be designed what's actually

play35:59

important um and uh you know so for

play36:03

example going from our Falcon

play36:07

architecture which is um uses refined

play36:10

jet fuel and liquid oxygen um in a um

play36:16

open cycle gas generator architecture

play36:19

engine to a to Starship which is

play36:24

a uh liquid methane liquid oxygen

play36:28

um uh propellant uh in a staged

play36:32

combustion very high pressure

play36:34

engine um that that that's that's a big

play36:38

architectural change um but we didn't

play36:40

know that we we needed to make that

play36:42

architectural change until we're pretty

play36:44

far down the

play36:45

road like about halfway took us about 10

play36:48

years to figure out that was even the

play36:49

right architecture now we're confident

play36:51

it is and we're confident that uh making

play36:53

life M multiplanetary can be hi hi

play36:58

hacking us badly today I'm wondering who

play36:59

it is yeah this is odd it's I haven't

play37:02

had this issue in spes for a while no um

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just um we were on um uh risk taking and

play37:09

so on um now um I think SpaceX is one of

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the best example I know about uh what we

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call failing well right learning from

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mistakes and moving on um what generally

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how do you how do you look at

play37:24

mistakes well I mean which which ones do

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you Toler and which ones don't you

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tolerate well I I

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think I don't really think of that way

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uh you know the first three flights of

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SpaceX failed um the fourth one

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succeeded and if if the fourth one had

play37:46

not succeeded we would have gone

play37:48

bankrupt we would had no money left so

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it was very close

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call um but since then space XX has done

play37:55

very well it's now the the falcon you

play37:57

know knock on wood is the most reliable

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rocket in the world um and launches

play38:02

about every um 2 to 3 days um now um

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last question on risk what are the types

play38:09

of risk you would not want to

play38:13

take

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uh well I I think in terms of risks you

play38:19

don't you you don't want to take risks

play38:20

that where if if you only want to take

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bet the company risks if they're

play38:24

absolutely necessary so they've been a

play38:27

few times where saying the with Tesla we

play38:30

we just had no choice but to vet the

play38:31

company because if we if we're Inc if

play38:33

we're doing a new vehicle program that

play38:35

is uh an order of magnitude larger than

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the past one then we're by we're just

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unequivocally betting the company

play38:42

because the new vehicle would be 90% of

play38:44

production so going from uh the original

play38:48

Roadster to the model S original

play38:50

Roadster was only you know about 600 6

play38:54

700 per year then Model S was 20,000 per

play38:58

year and um and then model 3 is sort of

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half sort of half a million per

play39:06

year um model y over a million per year

play39:10

so these are bet the company vehicles

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but the the the reason we could do for

play39:15

example the sabot truck which was kind

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of a a radical new design was because it

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wasn't a bet the company decision so I

play39:21

was like okay look let's try something I

play39:24

want to try something totally crazy uh

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it's like what what truck with Blade

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Runner Drive um except the when you're

play39:30

going to drive on was yeah I think it

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would be perfect for M um but like we

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could try something that where there's

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some chance that people might not like

play39:39

it um but it's it's radical and new and

play39:43

it's aesthetic aesthetically it's not

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derivative it doesn't look like anything

play39:47

else on the road um whereas all the

play39:50

other sort of pickup trucks look like

play39:51

vague copies of one another um they we

play39:54

could afford to take a chance on failure

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say like and talk it up to you know well

play40:00

we tried you know we Tred to do

play40:01

something interesting but but actually

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by the way cyber truck's doing great um

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so

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uh but one of the things that I think is

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important for Innovation is that you do

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accept failure like like necessarily you

play40:17

have to always look at the incentive

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structure of an organization and say um

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you know is is is that is that

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organization properly incenting

play40:26

innovation

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um and with if you do Innovation you're

play40:30

necessarily going to Uncharted Territory

play40:33

so there going to be some mistakes they

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going to be some

play40:36

failures um and you have you have to

play40:39

like like actually like for for SpaceX

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uh rocket engine development like I keep

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telling the team look if we're not

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occasionally blowing up an engine on the

play40:47

test stand we're not trying hard

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enough you know um absolutely absolutely

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how important are the P how important is

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research and phds and that kind of stuff

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I think of had seen somewhere you you

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think most phds are

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useless well I think most PhD thesis are

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useless which I think is actually

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objectively true if you look at how many

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PhD you look at all how many phds are

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created every year and how many of those

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papers are actually used in anything

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yeah um then objectively most PhD PCS

play41:22

are have very low utility or maybe zero

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um cuz nobody uses them um or so once in

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a while you get something that is

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spectacular but it's pretty rare um

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perhaps something more useful um Ison in

play41:37

the book that you haven't read uh talks

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about your love for uh gaming in

play41:41

particular like strategic ability gaming

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and I've been thinking quite a lot about

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it um what have you learned from from

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those games and have have that learning

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and wisdom been helpful when you have

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been planning your

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companies

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yeah

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I it's hard to say exactly what I've

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learned from video games except that I I

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do like playing video games as if I want

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to take my mind off work I'll typically

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play a very hard video game such as such

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as which one well over the years there

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been many many different video games um

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so you know when I was a little kid it

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was like you know pong and little tank

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games and things and um and but if you

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take a game like for example Civ ization

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it's actually quite a good um it tells

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you how how civilizations are formed

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like I remember I remember playing the

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original civilization with the

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technology tree and and how you invent

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different things you'd like invent

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literacy and uh you know invent

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democracy and invent gun gunpow all all

play42:47

these things like and you start to

play42:48

realize oh wow there's there are stages

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to technology like you can't um you know

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you can't actually get to democracy

play42:57

without literacy um and um you know so

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there's these these stages of of

play43:04

Technology development or stages of

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ideas that uh you know that's that's a

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helpful framework for a company um and I

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guess in in like like I say in recent

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years there was there's a game I played

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that was um actually developed in Sweden

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called polyopia which is uh actually

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quite a good game um like a lot of

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people like playing chess but I think

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chess is not a not a great um there's

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not a lot of transfer learning from

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chess to the real world because in chess

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you've got only 64 squares uh it's a

play43:38

setpiece battle same pieces every time

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there are no terrain differences uh

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there's no technology tree uh there's no

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fog of War um but say a game like

play43:48

polyopia has all of those things uh

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random drain generation uh you know the

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differences in attack and defense

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bonuses depending on what type of

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terrain um you've got 16 tribes I think

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each with different abilities um you've

play44:03

got uh a a technology tree that you can

play44:06

choose to develop in different ways uh

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and you've got of course fog of War um

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so that I think is much more much closer

play44:13

to reality yeah yeah

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um um so I think politopia I mean I I

play44:20

was I was playing Diablo uh for a while

play44:24

pretty fun um Diablo as high level gets

play44:27

very complicated they you could call it

play44:29

like a a spreadsheet with a game

play44:31

attached um so so that's that's and I

play44:35

briefly got the the for about a day the

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world record in this Avatar of zir on on

play44:40

a four-person team of of clearing the

play44:43

the hardest level um which was you know

play44:45

not bad for someone who's like

play44:49

53 basically we be 53

play44:52

soon um there is still some uh twit

play44:56

element to it and um it's hard to beat

play44:58

kids at games with a twitch

play45:00

element um but yeah I like uh I find

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these games interesting if you can be

play45:05

fully em mosted in a game it's

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great yeah so we've had some we really

play45:10

have had some technical problems today

play45:11

unfortunately but um um Elon two

play45:14

questions on corporate governance if I

play45:16

may you know we are big shareholders in

play45:17

your group um H and the first one is um

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yeah we're back on sorry about these

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technical things I'm not quite sure

play45:25

where it comes from all right

play45:28

to um some last questions here um as you

play45:32

know we are big shareholders and uh made

play45:34

a Model A lot of money uh on our

play45:48

investment there seems to be some

play45:50

latency

play45:55

here

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[Laughter]

play46:16

okay I can hear you

play46:18

here okay good sounds

play46:24

good good to go

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sorry I can you I think everyone can

play46:44

hear

play46:46

me let's see thumbs up if you can hear

play46:55

me

play47:01

let's try again okay okay sounds good

play47:04

sounds good um now um what is the score

play47:08

now of in terms of the Union in Sweden

play47:11

and the collective

play47:13

bargaining actually I I think uh I think

play47:17

the storm has passed on that front I

play47:18

think things

play47:19

are reasonably good shape in Sweden

play47:23

um

play47:25

so uh yeah I think the are

play47:29

good um yeah overall yeah I feel pretty

play47:34

good about the future I mean you know

play47:36

there's going to be bumpy quarters from

play47:38

you know here and there but I think the

play47:39

long-term future of Tesla is extremely

play47:41

strong uh for example

play47:46

um let's see can you guys hear me shoot

play47:49

I'm back now

play47:53

yeah we might be getting it might this

play47:56

might be too overloaded or

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something yeah I'm I'm back on just so

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um yeah we met with uh we met with your

play48:04

chair last month so we we have some

play48:06

update but any any view on it why are

play48:08

you

play48:09

why why are you skeptical to

play48:17

collected I playing with a soundboard

play48:25

here

play48:38

hello hello

play48:42

hello

play48:44

okay I think I think we're good yeah

play48:48

last question for me um sorry I didn't

play48:50

hear the answer here because I was out

play48:51

but um we have covered this with with

play48:54

your chair but just last question here

play48:55

what do you want your legacy to

play49:01

be I I don't I don't mind if uh my

play49:05

legacy

play49:07

is accurate or inaccurate uh provided

play49:11

that I I di feeling that I've done the

play49:15

right thing for the future of

play49:25

Consciousness so just trying trying to

play49:27

trying to have this light of

play49:29

Consciousness last as long as possible

play49:31

and maybe understand more about the

play49:33

nature of the universe or simulation or

play49:35

whatever this

play49:37

is

play49:39

so um I have a philos philosophy of

play49:43

curiosity which is

play49:45

to understand

play49:48

the understand the universe understand

play49:50

the nature of the universe um or even

play49:52

what questions to

play49:54

ask kind of like that I I I would say I

play49:57

would subscribe to the Douglas Adams

play49:59

hitas guys of the Galaxy School of

play50:01

philosophy that we're trying to

play50:03

understand what questions to ask about

play50:06

the answer that is the

play50:08

universe okay I think that's a good

play50:11

place to end um for sure the life and

play50:13

life on on this um Planet would have

play50:15

been a lot more boring without you and

play50:16

um

play50:18

so I'm I'm glad to [ __ ] it up a little

play50:23

totally all right well was good talking

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