Sam Altmans Stunning Prediction Is Deeper Than You Think

TheAIGRID
24 Sept 202425:18

Summary

TLDRSam Altman's recent blog post, 'The Intelligence Age,' predicts a future where AI will revolutionize sectors like healthcare, education, and software development. Altman suggests AI will become as transformative as past technologies, enabling personalized tutoring, advanced healthcare, and software creation. He also acknowledges potential labor market disruptions but remains optimistic about AI's ability to amplify human creativity and utility.

Takeaways

  • 🔮 Sam Altman's recent blog post, 'The Intelligence Age', suggests that AI will bring about transformative changes akin to 'magic' within the next few decades.
  • 📚 AI advancements are already impacting sectors like legal and medical advice, with technology reading documents and providing consultations.
  • 🚀 Altman's 2021 blog post, 'Mo's Law for Everything', has shown remarkable accuracy in predicting current technological trends.
  • 💡 Society's collective intelligence is surpassing individual intelligence, leading to an acceleration of technological progress.
  • 🌐 The internet and smartphones have revolutionized communication and information access, setting a precedent for future AI-driven transformations.
  • 🤖 Future AI agents are expected to act as personal experts across various fields, enabling the creation of almost anything imaginable.
  • 👨‍🎓 AI tutors will provide personalized education in any subject and language, making quality education accessible and affordable.
  • 🏥 Personal healthcare agents will offer tailored medical advice, potentially reducing medical errors and enhancing patient outcomes.
  • 🛠️ AI is quietly revolutionizing software development, with agents capable of building personalized software solutions.
  • 💰 The economic impact of AI is expected to be significant, with the potential to create new job categories and reshape existing ones.
  • ⏳ Altman predicts that superintelligence could be achieved within a few thousand days, emphasizing the rapid pace of AI development.

Q & A

  • What did Sam Altman predict in his 2021 blog post titled 'Mo's law for everything'?

    -Sam Altman predicted that within the next five years, computer programs capable of thinking would be able to read legal documents and give medical advice, which is consistent with current advancements in AI technology.

  • What is the significance of the blog post 'The Intelligence Age' mentioned in the script?

    -The blog post 'The Intelligence Age' is significant because it provides insights into the future of AI and suggests that in the coming decades, AI will enable us to do things that would have seemed like magic to previous generations.

  • How does Sam Altman view the progress of AI in relation to societal capabilities?

    -Sam Altman views AI as an acceleration of societal capabilities, stating that society itself is a form of advanced intelligence. He suggests that each generation builds upon the advancements of the previous one, leading to exponential progress.

  • What does Sam Altman foresee AI agents being able to do in the future?

    -Sam Altman foresees AI agents becoming capable of forming personal AI teams of virtual experts in different areas, working together to create almost anything we can imagine.

  • What is the potential impact of AI on education according to the script?

    -AI has the potential to revolutionize education by providing personalized instruction in any subject, in any language, at any pace needed, making high-quality tutoring accessible to almost anyone.

  • How does the script suggest AI will change healthcare?

    -The script suggests that AI will change healthcare by providing personalized healthcare agents that coordinate with doctors, analyze medical histories, and provide personalized health care advice, potentially reducing medical errors.

  • What is the potential economic impact of AI in software development as mentioned in the script?

    -AI has the potential to significantly impact the software development industry by creating AI agents that can build personalized software, which could lead to a shift in the economy and change how software is developed and utilized.

  • What does Sam Altman believe is the most important factor in the advancement of AI?

    -Sam Altman believes that the most important factor in the advancement of AI is the discovery that deep learning works and gets predictably better with scale, leading to dedicated increases in resources.

  • What are the potential downsides of AI that Sam Altman acknowledges in the script?

    -Sam Altman acknowledges that AI can cause significant changes in labor markets, both positively and negatively, and that most jobs will change more quickly than people think. He emphasizes the need to maximize AI's benefits while minimizing its harm.

  • How does the script address concerns about the speed of AI development?

    -The script addresses concerns about the speed of AI development by suggesting that while AI advancements may seem rapid, they are part of a historical trend of accelerating technological progress, and society will adapt to these changes.

Outlines

00:00

🔮 Predicting the Future Impact of AI

The paragraph discusses a recent blog post by Sam Altman, highlighting its importance and accuracy in predicting future AI advancements. It references an earlier blog post from 2021 titled 'Mo's Law for Everything,' which predicted AI capabilities like reading legal documents and giving medical advice, which are now becoming a reality. The new blog post, 'The Intelligence Age,' suggests that in the coming decades, AI will enable us to perform tasks that seem like magic, accelerating technological progress and societal capabilities. It emphasizes the exponential growth of AI, with each generation building upon the last to create a smarter society.

05:00

🚀 Accelerating Technological Advancements

This section of the script delves into the transformative impact of AI on various sectors, including education and healthcare. It predicts personalized virtual tutors for any subject and language, making personalized learning accessible and affordable. The script also envisions AI agents revolutionizing software development, creating personalized software solutions. The potential for AI to reduce medical errors and provide personalized healthcare is also discussed, highlighting the significant improvements in quality and affordability that AI could bring to these fields.

10:00

🤖 AI Agents and Software Development

The paragraph showcases the capabilities of AI in software development through a demonstration of an AI agent creating an app for local landmarks. It emphasizes the transparency of the AI's process, allowing users to understand and learn from the AI's actions. The script suggests that AI will enable individuals to create personalized software solutions, potentially leading to significant economic shifts. It also touches on the early days of such technology and speculates on its future development, hinting at a future where AI could make complex software development tasks more accessible.

15:02

🌐 The Impending Era of Superintelligence

This section discusses the imminent arrival of superintelligence, as suggested by Sam Altman's blog post. It contemplates the timeline for the development of AGI (Artificial General Intelligence) and superintelligence, suggesting that AGI might be achieved by 2026 or 2027. The paragraph also reflects on the acceleration of AI progress, dismissing claims that AI development is slowing down. It highlights the importance of deep learning and the dedication of increasing resources to it, as the key to unlocking the potential of AI.

20:03

🛰️ The Consequences of Superintelligence

The paragraph explores the profound implications of superintelligence, including its potential to solve complex problems like climate change and to establish space colonies. It also speculates on the possibility of discovering all of physics, which could lead to unprecedented technological advancements. The script acknowledges the potential downsides of such technology, particularly in labor markets, but suggests that AI will allow humans to amplify their abilities and focus on creative and positive endeavors.

25:05

🏗️ Transitioning to an AI-Driven Economy

In this final paragraph, the script addresses the changes AI will bring to the job market, suggesting that while many jobs will be affected, people will find new ways to be productive and useful. It touches on the need to prepare for this transition and the potential for AI to create a more prosperous world. The paragraph also raises questions about the shift in perspective regarding AI safety and the potential motivations behind current narratives around AI's impact on society and the economy.

📢 Conclusion and Call to Action

The concluding part of the script invites the audience to share their thoughts on the discussed topics and acknowledges the creator's inability to produce a video due to a voice issue. It leaves the audience with a promise to meet again in the next video, suggesting an ongoing dialogue and exploration of AI's impact on the future.

Mindmap

Keywords

💡AI

AI, or Artificial Intelligence, refers to the simulation of human intelligence in machines that are programmed to think like humans and mimic their actions. In the video, AI is central to discussions about the future of technology, with examples including AI providing personalized tutoring, healthcare, and software development.

💡Mo's Law for Everything

Mo's Law for Everything is a blog post by Sam Altman that predicted advancements in AI and technology. The video discusses how these predictions have been remarkably accurate, such as AI programs reading legal documents and giving medical advice, which is becoming a reality.

💡The Intelligence Age

The Intelligence Age is a term used in the video to describe the era where AI will play a significant role in society. The video suggests that within a few decades, AI will enable us to perform tasks that currently seem like magic, illustrating the rapid progression into an age dominated by intelligent machines.

💡AGI

AGI stands for Artificial General Intelligence, which is the idea of creating a machine that possesses the ability to understand or learn any intellectual task that a human being can do. The video suggests that AGI might be closer than previously thought, with implications for how we work and live.

💡Superintelligence

Superintelligence refers to an intellect that is much smarter than the best human brains in practically every field, including scientific creativity, general wisdom, and social skills. The video discusses predictions that superintelligence could be achieved within a few thousand days.

💡Personal AI

Personal AI implies AI systems that are customized to individual needs, acting as personal assistants or tutors. The video suggests a future where everyone could have a personal AI team of virtual experts in different areas, enhancing personal capabilities and productivity.

💡Software Development

Software Development in the context of the video refers to the process of creating applications or systems using AI. The video mentions a revolution in software development where AI agents can build personalized software, potentially disrupting the economy and job market.

💡Healthcare

Healthcare in the video is discussed in the context of AI's potential to revolutionize the industry. With AI, personalized healthcare agents could manage health records, provide medical advice, and reduce medical errors, leading to improved health outcomes.

💡Lifelong Learning

Lifelong Learning is the concept of learning throughout one's life. The video suggests AI will enable personalized instruction in any subject, making lifelong learning more accessible and potentially leading to a more skilled and adaptable workforce.

💡Economic Impact

Economic Impact refers to the effects of AI on jobs and the economy. The video discusses how AI could cause significant changes in labor markets, with the potential to automate many jobs but also to create new opportunities and the need for reskilling.

💡AI Safety

AI Safety is the consideration of how to ensure that AI developments do not pose risks to humanity. The video touches on the need to work towards maximizing AI's benefits while minimizing potential harm, reflecting ongoing debates about the safe development of AI.

Highlights

Sam Altman's recent blog post is crucial for predicting the future of AI.

Altman's 2021 blog post 'Mo's law for everything' accurately predicted AI advancements.

AI is now integrated into legal and medical advice, as predicted.

The new blog post titled 'The Intelligence Age' outlines the future of AI.

In a few decades, AI will enable us to do things that seem like magic.

AI is accelerating societal capabilities beyond genetic evolution.

Each generation benefits from the advancements of the previous, leading to exponential progress.

AI will enable us to work with virtual experts in various fields.

AI agents are predicted to become mainstream, offering personalized services.

OpenAI's internal document leak suggests a focus on tracking AI progress.

AI will provide personalized virtual tutors for any subject and language.

AI in healthcare is expected to reduce medical errors significantly.

AI's ability to create personalized software will revolutionize the economy.

Repet AI agent demonstrated creating an app from scratch,预示着AI在软件开发中的应用潜力。

Altman suggests superintelligence could be achieved within a few thousand days.

AGI (Artificial General Intelligence) might be achieved by early 2026 or 2027.

Deep learning's success and scalability are driving AI progress.

AI's impact on labor markets will be significant but most jobs will evolve slowly.

AI will amplify human abilities, leading to an expanding world of opportunities.

Transcripts

play00:00

so today Sam mman dropped another blog

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post that most people are probably going

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to overlook but it's hard to grasp just

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how important this blog post is and the

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key things that he said that will guide

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us in actually predicting where the

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future is now before diving into the

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blog post I want to remind you all of

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another blog post Sam mman wrote in 2021

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titled Mo's law for everything and the

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reason I'm bringing up this one called

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mors law for everything is because this

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blog post if we take a look back to the

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time that it was made and take a look at

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the things that are going on in today's

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society it is remarkably accurate in its

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prediction one of the thing that he

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actually said that we can take a look at

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was that he stated that in the next 5

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years computer programs that can think

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will read legal documents and give

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medical advice and this is essentially

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what we are seeing right now documents

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and programs and all these kinds of

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things are actually happening on a

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day-to-day basis a medical advice from

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systems like opening eyes1 and Google's

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medical models are slowly being

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integrated into wider Society so when we

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take a look at the fact that saman's

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previous blog post from March 16th of

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2021 and it's been remarkably accurate

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so far we can take a look at this new

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one titled the intelligence age which

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was only published just yesterday and

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truly understand where the future of AI

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is headed now I think in order to truly

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grasp what's going on here we need to

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take a look at the first sent and he

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said here okay and try not to get too

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excited but he says in the next couple

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of decades we will be able to do things

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that would have seemed like magic okay

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and Magic to our grandparents and the

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reason I think that that is so

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fascinating is because when we truly

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take a look at the previous iterations

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of Technology when we think about how

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crazy it is that we have planes that can

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fly we have fighter jets that can fly,

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2,000 mph doing Sonic booms we've got

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technology like AI currently that can

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write things completely from scratch

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we've got TVs iPhones Holograms drones

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we've got all these kinds of incredible

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Technologies landing on the moon

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Starling I mean the list goes on and on

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the internet and smartphones have

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literally changed how we communicate and

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access information and some people in

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the early 20th century couldn't have

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even dreamed or even imagined this kind

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of technology and if we think about this

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our grandparents are probably Amazed by

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the kinds of technologies that are

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around right now which means that when

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we get older we're probably going to

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have our minds blown by the technology

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that's probably being developed at that

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time now he says that of course this

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phenomenon is not new but it will be

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newly accelerated essentially referring

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to the fact that every company right now

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is really trying to invest billions and

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billions of dollars into their AI

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infrastructure in order to get a piece

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of that AGI Pi it continues on to state

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that people have become dramatically

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more capable over time we can already

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accomplish things now that our

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predecessors would have believed to be

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impossible we are more capable not

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because of genetic change but because we

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benefit from the infrastructure of

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society being way smarter and more

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capable than any one of us in an

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important sense Society is itself a form

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of advanced intelligence our

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grandparents and the generations that

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came before them built and achieved

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great things and of course all of those

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things we can build on top of for the

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Next Generation that basically

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accelerates the Next Generation which is

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why technological progress it kind of

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goes like this in a graph kind of just

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like

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uh goes like this because uh each

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generation you know sets the stone for

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the next one and it's like uh I guess

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you could say exponential progress in a

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sense so he says right here that the

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story of progress will continue and our

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children will be able to do things that

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we can't and it won't happen all at once

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but soon we will be able to work with an

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AI that helps us accomplish much more

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than we ever could without AI eventually

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we can have a personal AI team full of

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virtual experts in different areas

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working together to create almost

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anything we can imagine so this is where

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we get into another prediction

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surrounding AI agents and what they're

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going to be able to do for us and I

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might as well not really say prediction

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they're essentially creating these

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products so I'm pretty sure that they

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know what's in the pipeline when you

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think about it this isn't a blog post by

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some futurist this is a blog post by the

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guy who's at the head of the frontier

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Labs so when he says a team full of

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virtual experts in different areas

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working together to create almost

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anything we can imagine this sounds

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rather accurate as this actually refers

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to the leaked open AI internal document

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which they are using to track AI

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progress if we take a look at this we

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can see that it was only recently that

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we had reasoners which are the human

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level problem solving with the

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strawberry model and of course the next

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big thing and I think that AI still

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isn't in the mainstream yet because we

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don't have this I think that this is

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going to be the magical moment when we

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actually have like an insane level of

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individuals that really really start to

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get what AI is able to do and I think

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once we actually have that broadscale um

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area where we see that okay individuals

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are now starting to realize that AI is

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out there and it's performing things on

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our behalf that's when the acceleration

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is going to be truly incredible because

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it's quite like we're doubling SLT

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tripling the population of individuals

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that are working effectively and working

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non-stop 24/7 then of course this is

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where he says our children will have

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virtual tutors who can provide

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personalized instruction in any subject

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in any language at whatever Pace they

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need and I think this is one of the

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things that is widely underestimated

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because not only are students going to

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be able to learn a lot more personalized

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learning is I think in many cases a lot

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more effective because you can learn at

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your own speed at your own pace you've

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got one-on-one with someone that can you

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know explain Concepts to you but I think

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the fact that you know previously it was

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only certain individuals that could

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afford private shors but now we're going

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to get to an age where pretty much

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anyone is going to be able to afford

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their own private shoor perhaps just for

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$20 a month and they're going to be able

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to absorb as much knowledge as they want

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from pretty much any subject if you

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haven't already realized AI can break

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down complex Concepts and explain them

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to you in a way that is really easy to

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understand you can talk to it as many

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times as you want and it's not going to

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get upset it's not going to get

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frustrated it's not going to get tired

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it's going to be 100% completely

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understanding now I was thinking about

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this quite a lot and I was like okay

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this is actually pretty cool but we also

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need to think about the fact that like

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this isn't just for children we're not

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just going to have personalized tutors

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just for kids for those of you guys who

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are in The Working World in the business

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world you guys actually now have tutors

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that pretty much understand most

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advanced concepts and you're going to be

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able to use those tutors to perhaps

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Advance your career Advance your

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business and Advance your side hustle

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Prov provided you have the motivation to

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engage in lifelong learning I think you

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know previously of course you know

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you've always had to read a book or you

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know engage in certain educational

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traditional methods but I think this

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kind of you know learning is going to

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truly open up a new area for individuals

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that learn in a different kind of way

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and I think this is you know really

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really exciting especially for those who

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want to move further on in life then of

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course it continues to state that we can

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imagine similar ideas for healthcare and

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the ability to create any kind of

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software somewhere can imagine

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so I think this first sentence right

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here is probably one of the most

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important ones if you didn't know in the

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UK alone and I think in America it's

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around two there's 200,000 deaths

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annually in U in the US OFA um where

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there are just medical errors and you

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can see that there are you know more

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than 200 million medication errors in

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the NHS per year which is you know

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researchers have realized which is

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pretty insane when you think about it

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and we think about like how traditional

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you know Healthcare systems are I think

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once everyone has access to a personal

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Healthcare agent that's able to you know

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coordinate with their doctors look at

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all of their vitals understand all of

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their medical history and really look at

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their health care in a personalized way

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in you know many different reasoning

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ways you know looking at 10,000

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different outcomes for this person I

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think it's just going to be absolutely

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insane the type of medical health care

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that you get and I think I think the

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craziest thing about this is that this

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is not even going to be that expensive I

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think it's going to be really

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comprehensive and over time I think it's

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just going to become remarkably cheap

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and even when we look at the most recent

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models they've been excelling on

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Healthcare benchmarks so it's no doubt

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that this thing of you know ideas with

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AI for healthcare it's truly going to be

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better and of course this is one of the

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more positive things to come from AI now

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one of the things that we also have here

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as well is the ability to create

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software someone can imagine like any

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kind of software someone can imagine and

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much more and this is something that

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people might not realize is slowly

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happening but there is a quiet

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Revolution going on in the software

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development space and this isn't a video

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about software developers are dead or

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gone or this no no no this is just a

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small tidbit where I'm referring to the

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fact that there are companies out there

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building you know these kind of AI

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agents that are going to be able to

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build software that is quite

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personalized and I think this is going

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to be one of the largest shakes up the

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economy has seen because AI is able to

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create personalized software that is

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able to do many internal tasks for you

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so I'm wondering is this going to the

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SAS economy I mean there's many

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different implications for this because

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not only does it allow individuals to

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become more effective because they're

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able to develop their own pieces of

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software for personal per purposes but

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this is just something that's pretty

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crazy now take a look at this repli AI

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agent because I was supposed to cover

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this but I unfortunately didn't get to

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but this is you know an AI agent that's

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able to literally do everything for you

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from start to finish all the way up

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until deployment and if we think about

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the fact that this is the early days how

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is this kind of Technology you go to be

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10 years from now this is actually a

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prompt from a Ted AI talk I gave about

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10 months ago about agents we didn't

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have the product back then but now let's

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test the real product with the same with

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the same prompt make an app of local

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landmarks based on my location the agent

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uh presented me with a plan this plan is

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fully editable um I just want to add the

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ability to search one of the cool things

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about the progress pane is that you can

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learn what it's doing so we don't want

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this ever to be uh sort of obscuring uh

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what the agent is doing it should be

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fully transparent this could also be a

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great way to learn how to build things

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because the agent is sort of explaining

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itself as it's doing it that's the app

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see that's exactly the kind of landmarks

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I would expect to see in Foster City

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where we are recording this from it's

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awesome and so here you can give it

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feedback you can iterate with it you can

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give it more features but I'll just say

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yes it looks great cuz it works it's

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exactly what I asked for and now the

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agent will move to the next step and the

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next step uh is adding search we spent a

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lot of time uh building the plumbing for

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this a lot of what the agent is doing is

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actually doing the same kind of actions

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that you would do in the IDE it's

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editing the code in a similar way that

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you would edit it it's installing

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depencies using the same tools that we

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exposed to users so all the UI that you

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see in in the repet you know and love uh

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is exposed to the agent so the agent is

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sort of a multiplier user in the same

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same environment we're about to deploy

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to the cloud and when we deploy this app

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there's there's no difference between

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what we built here you don't have to

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configure a server you don't have to do

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any of you don't have to configure a

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database all of that is configured for

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you when I had this idea I had it when I

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was traveling uh and that happened on my

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phone and actually I can start the

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project on my phone I actually finish

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the project on my pH my phone as well

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anytime you have an idea it doesn't have

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to be this fleeting idea you can just

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you can just put it into repet and it

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start making it for you and then you

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know we got this initial prototype but I

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can also go and browse the code myself

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uh I can use uh you know repats llms or

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you can use your favorite llm the code

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is all yours it's there um and um uh and

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you can continue using the agent you can

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switch to repet AI you can do whatever

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you want with it you have full authority

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over the code that the agent just uh

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just created and there you have it uh

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repet agent uh created a repple

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configured the python environment

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install dependencies wrote the code all

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in two minutes and we got an app running

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that we were able to deploy to the cloud

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and now anyone can use it so this is a

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repet agent it's available in Early

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Access uh and would love your feedback

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thank you that is one of the things I

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always want to you know reiterate is

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that you know when you see and it looks

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pretty bad remember how bad mid Journey

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was remember how bad these images were

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remember how bad videos were I mean when

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we take a look at how crazy this kind of

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you know acceleration is we have to

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truly understand that okay this isn't

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slowing down now he says here that with

play13:16

these new abilities we can have shared

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prosperity to a degree that seems

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unimaginable in today's future I mean in

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the future and everyone's lives can be

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better than anyone's life is now

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Prosperity alone doesn't make people

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people happy there are plenty of

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miserable rich people but it would

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meaningfully improve the lives of people

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around the world here is one narrow way

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to look at human history after thousands

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of years of compounding scientific

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discovery and technological progress we

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have figured out how to melt sand add

play13:46

some impurities and arrange it with

play13:48

astonishing Precision at extraordinarily

play13:51

tiny scale into computer chips run

play13:53

energy through it and end up with

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systems of creating increasingly capable

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artificial intelligence now this

play13:59

statement here is one of the funniest

play14:01

statements ever because there is a video

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from someone on YouTube and I think

play14:06

everyone should watch this to understand

play14:08

how crazy technology is it's a video

play14:11

that basically shows you how to get like

play14:12

a CPU um completely from scratch it's

play14:15

pretty funny I'm only going to play the

play14:16

first 10 seconds2 seconds of the clip

play14:18

but it's a video that I think is so

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important because when we see how

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technological innovations can push the

play14:25

boundaries of what we even thought is

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possible we kind of need to think about

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where we even came from and it's quite

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hard to Fathom so um yeah now here's the

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next thing okay it says this may turn

play14:34

out to be the most consequential fact

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about history so far so if you've been

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you know half asleep through this video

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please just pay attention to this part

play14:41

because I would say that this is

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probably the most important statement

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okay Sam mman says that it is possible

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and I didn't mean to do that that we

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will have super intelligence in a few

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thousand days now of course he you know

play14:53

caveats it by saying it may take longer

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but I'm confident we will get there this

play14:59

statement is absolutely insane it is

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possible we will have super intelligence

play15:04

within a few thousand days now the first

play15:07

implication for this statement that I

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immediately thought about is I didn't

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even think about super intelligence I

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was like hold on that means that AGI is

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most certainly coming a lot sooner than

play15:17

we think people and critics have always

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dismissed AI as some kind of distant

play15:21

pipe dream but this statement actually

play15:23

puts AGI in a new light if they are

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talking okay broadly about super

play15:28

intelligence which on the AI scale

play15:30

actually comes a lot further after AGI

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it means that AGI is almost certain or

play15:36

probably already achieved which actually

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leads me to think that we could get AGI

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by early 2026 or early 2027 which is not

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that far away which is only you know 2

play15:47

years away which is pretty insane to

play15:49

think about and I think this also means

play15:52

that acceleration like I said before

play15:54

isn't slowing down if you remember a few

play15:56

months ago we did get a few articles

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that they was stating that look AI is

play16:00

slowing down deep learning hting a wall

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yada yada yada and I think I actually

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made a video with stating that look AI

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progress is not slowing down at all like

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you guys have it wrong and I try to

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explain to you all that just because

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we're not seeing a thousand new models

play16:14

every single day it doesn't mean that AI

play16:16

is slowing down these people are making

play16:18

remarkable discoveries internally and

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this is just truly accelerating the

play16:23

entire AI progress and you have to

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understand that things are only going to

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get faster from here on out open AI

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kicked off the race to AGI and it's only

play16:31

a matter of time before the world is

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inevitably changed now after I I thought

play16:35

that okay look AGI is clearly within the

play16:38

next one to two years because if they

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are broadly talking about super

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intelligence is clearly here we have to

play16:43

think that okay that means that they

play16:46

certainly did see something okay and

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that leads us back to the infamous quote

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what did Ilia SATA see now ilas satk has

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a new company called you know safe

play16:55

superintelligence and I think that that

play16:57

means that this state

play16:59

now holds a lot more weight the

play17:01

statement that super intelligence is

play17:03

Within Reach is it like Echoes now it

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feels a lot more uh I guess you could

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say pronounced because Sam Alman is

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stating that look we're only going to

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have it in a few thousand days which

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means that ilaser probably has

play17:14

identified the path whether it be this

play17:16

reinforcement learning with Chain of

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Thought or you know that qar thing I

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think that showed them that all they

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need is more compute and then they will

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probably get there there's a million

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videos on deep Dives and stuff and I'll

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leave a link down to all of that stuff

play17:29

but I think it's quite important to

play17:32

understand that right now the

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bottlenecks aren't really in actually

play17:35

figuring out how the technology works

play17:37

but just getting the energy and the

play17:40

compute to actually you know power this

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kind of stuff which is quite crazy and

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when we think about the super

play17:46

intelligence I always like to refer to

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the you know document situational

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awareness which is where it says it's

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strikingly plausible that we'd go from

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AGI to Super intelligence very quickly

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perhaps in one year and I think think

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that uh this kind of statement is not to

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be messed around with because this is of

play18:03

course from a former open AI employee

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and I think this graph where you see

play18:08

that of course we have an automated AI

play18:10

researcher and then over time things

play18:12

start to exponentially increase with of

play18:14

course science technology robots

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military Edge GDP all of these things

play18:18

are just going to completely explode I

play18:20

think that the future is just it's

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actually you know so unpredictable that

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it's incredible I mean it's it's just

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you know incredible and the worst thing

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about this is that I remember so many

play18:30

individuals were stating that oh this

play18:32

guy all he did was draw a few straight

play18:34

lines on a graph and now he's claiming

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that he knows the future I mean the

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thing is is that when we actually take a

play18:39

look at who Leopold Ashen brener is he's

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someone that's not some random person he

play18:43

is someone that literally worked on the

play18:45

front lines for aligning super

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intelligent AI with the legendary Ilia

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SATA at open AI so if we aren't

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listening to people like him on the

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future of AI who is it that we're going

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to be listening to I mean I I I truly

play18:59

don't understand and the crazy thing

play19:01

about this is that across the consensus

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in terms of predictions for future

play19:05

developments and you know inflection

play19:07

points and turning points it's a

play19:08

consistent 2027 to 2030 that we get this

play19:11

you know future world that's going to be

play19:13

drastically different than the one we

play19:14

are in now now what's crazy about this

play19:16

is that he then says how did we get to

play19:18

the doorstep of the next leap in

play19:20

prosperity in three words deep learning

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worked in 15 words deep learning worked

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got predictably better with scale and we

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dedicated increase ing resources to it

play19:29

so I think this one is really cool

play19:32

because of course we can see that he's

play19:34

speaking about of course the technology

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which showed us that look all we need is

play19:39

more data better algorithms more

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computes more scale and we can do

play19:44

incredible things he says that's really

play19:46

it humanist discovered an algorithm that

play19:48

could truly learn any distribution of

play19:51

data or really the underlying rules that

play19:54

produce any distribution of the to a

play19:56

shocking degree of precision the more

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comput and data available the better it

play20:00

gets at helping people solve hard

play20:03

problems and I find that no matter how

play20:05

much time I spend thinking about this I

play20:07

can never really internalize how

play20:09

consequential this is now for me the

play20:11

super intelligence thing it wasn't the

play20:13

craziest thing this was the craziest

play20:14

thing for me um was that he said

play20:17

although it will happen incrementally

play20:19

astounding triumphs fixing the climate

play20:21

establishing a space colony and the

play20:23

discovery of all physics eventually will

play20:25

become common place I don't think people

play20:27

truly understand

play20:29

what this statement mean the discovery

play20:30

of all physics will be eventually become

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common place guys do you remember what

play20:36

happened once we discovered a few laws

play20:38

of physics we were able to like fly guys

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like that's insane like sometimes I

play20:43

still see planes and I'm still like this

play20:45

thing makes no sense you know it would

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look like magic to people you know 200

play20:49

years ago look like absolute like our

play20:51

phones and stuff like that so once we're

play20:52

able to figure out you know a few things

play20:54

there's only a few like bottlenecks and

play20:56

like once we you know discover them like

play20:58

they just it just remarkably changes how

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the future is in terms of the entire

play21:02

fields that we're going to be in the

play21:03

entire you know the way the world works

play21:05

I mean like if you try to explain

play21:07

current Society to someone 250 years ago

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it's like it's it's it's quite hard you

play21:11

know to Fathom the smartphone the

play21:12

internet the connectedness the travel

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the I mean I don't know my mind's

play21:16

getting kind of blown by like trying to

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explain all of this but I think the

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discovery of all physics I mean I can

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truly understand how it happens I mean I

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think once you have an automated AI

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researcher that's able to truly like get

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all the context from every single

play21:29

research paper and just research in

play21:31

certain areas 24/7 and we're able to

play21:33

just duplicate that like a million

play21:35

different times we're going to be able

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to condense you know years of scientific

play21:38

research down to you know pretty much a

play21:41

few years or even a few months once the

play21:42

compute becomes available so I think

play21:44

it's going to be really incredible to

play21:45

see that kind of progress happening in

play21:47

our lifetime now of course there is no

play21:50

good without bad and samman talks about

play21:52

here he says as we've seen with other

play21:54

Technologies there will also be

play21:56

downsides and we need to start working

play21:58

now to maximize ai's benefits while

play22:00

minimizing its harm as one example we

play22:02

expect that this technology can cause

play22:04

significant change in labor markets good

play22:06

or bad and in the coming years but most

play22:08

jobs will change more slowly than people

play22:10

think and I have no fear that we'll run

play22:12

out of things to do even if they don't

play22:14

look like real jobs to us today people

play22:16

have an innate desire to create and to

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be useful to each other and AI will

play22:20

allow us to amplify our own abilities

play22:22

like never before as a society we will

play22:25

be back in an expanding world and we can

play22:27

once again Focus on playing positive

play22:29

some games now I think it's always good

play22:31

to talk about you know bad things that

play22:33

are going to happen of course the job

play22:34

market is going to be pretty insane once

play22:36

AI you know eats around like I think you

play22:38

know it's going to affect like 60% of

play22:40

all jobs around the world and I think

play22:41

it's going to be quite kind there going

play22:42

to be a weird period where people just

play22:44

don't have a job like you know a lot of

play22:45

people and it's going to be like really

play22:47

weird the economy is definitely going to

play22:48

change is something that I talk about in

play22:49

my community how you can you know most

play22:51

certainly take advantage of this

play22:53

transition because it's definitely going

play22:55

to be a transition period and you know

play22:56

there's going to be some winners and

play22:57

some losers and I think I would a lot

play22:59

rather be on the winner side and if

play23:01

you're in AI um you're definitely early

play23:03

like you're you're really early I think

play23:04

the only time you're going to be late to

play23:06

this place is if you are um you know

play23:09

only you know taking action in the next

play23:11

two to three years because once we get

play23:13

agents the general public is going to

play23:14

truly understand what AI is able to do

play23:16

so I think that that is of course

play23:18

something to discuss but what was crazy

play23:21

okay and I saw this on Twitter and once

play23:22

again I'm not like an AI safety person

play23:24

but I do think this is kind of

play23:26

interesting and I think it I I think

play23:27

it's worth while to be mentioned okay

play23:29

someone um you know referenced the fact

play23:31

that Sam alman's blog from 2015 is a

play23:34

little bit different to the one from

play23:36

2024 samman says that development of

play23:38

superhuman M machine intelligence is

play23:40

probably the greatest step to the

play23:41

continued existence of su of humanity

play23:44

and then in 2024 he says this technology

play23:47

can cause a significant change in labor

play23:48

markets good and bad but most jobs will

play23:50

change you know more than people think

play23:52

okay so this this you know tweet is

play23:54

basically saying that look before he was

play23:56

tweeting about super intelligence now he

play23:57

was stating that it was dangerous and

play23:59

now he's stating that this is a good

play24:01

thing that his company's there I think

play24:03

either it's one or two things I think

play24:04

either one we have the sense that you

play24:07

know maybe they've solved the

play24:08

interpretability problem which is where

play24:10

they truly understand what's going on in

play24:12

AI I'm not so sure of that because I

play24:14

think that that's quite hard and that

play24:16

would require incredible breakthroughs I

play24:18

don't think that it's you know possible

play24:19

I just think that it's really hard

play24:21

especially with something that's smarter

play24:22

than you or I think it's the second

play24:24

issue which is probably more reasonable

play24:27

is that they might just be avoid voiding

play24:28

this kind of you know AI safety thing

play24:30

because they are raising money again at

play24:32

a huge valuation so I think they're

play24:34

trying to avoid anything that could

play24:36

reduce that valuation and you know scare

play24:38

off investors and I mean um if you've

play24:40

seen the recent funding round it's been

play24:42

absolutely incredible open air has been

play24:44

flooded with investors um and they've

play24:46

had to put in like $250 million minimum

play24:48

you can see here it says investors pile

play24:50

into open AI 6 billion funding round in

play24:52

unprecedented bet so this is really

play24:56

incredible like I can't like I mean I'm

play24:58

not going to Li guys if I had that kind

play24:59

of money I certainly would be piling it

play25:00

into open AI because they are about to

play25:02

eat like you know just billions and

play25:04

trillions of dollars uh so I think it's

play25:06

going to be incredible so with that

play25:07

being said let me know what you think

play25:08

about this document I know I I was going

play25:10

to make a video on this yesterday but

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unfortunately my voice just disappeared

play25:14

so if you guys did enjoy the video I

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will see you all in the next one

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Etiquetas Relacionadas
AI FutureSuperintelligenceSam AltmanTechnological ProgressAI PredictionsJob MarketHealthcare AIEducational AIEconomic ImpactInnovation
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