Cautiously optimistic about all this. Startups with excellent UX teams in this space could add a lot of value.

So the takeaway is that while everyone's hunting for the next Move 37, O1-Pro helps in the same prosaic, but amazing ways as an assistant- summarizing technical knowledge and helping people get unstuck. O1-Pro shines in these 'mundane' productivity boosts that add up massively.

Thanks for another episode on the biomedical field!

I'm always skeptical and it's very telling when a content creator opens up was scripted writing from AI

As someone with a rare disease, this was a very fascinating conversation! It's kind of embarrassing for me because it affects the way I eat food, so any research into the underlying genetics or potential treatments is incredibly cool stuff! Love the podcast/videos, you're one of my favorite channels for interesting AI content!

This is such a great interview, full of important details. Great episode!

So someone proceeding pro se that can pay will be denied? Unconstitutional thinkingb.

Wow, how "woke" are you? Please explain what the "new social contract" is. That's okay if you can't define it. Shame that you are a product of globalists.

The mention of scout mind set had reminded me of that thought from a year or so ago and I had settled on a guide mindset as an optimal alternative.

It is surprising that your assessment of risk around the CCP's ability to covertly shape public opinion in the US didn't include their hacking - into critical infrastructure as well as spying. Considering their behavior in the past decade, giving them the benefit of the doubt at this point seems naïve.

More AI revolutionary fantastical insanity. Check back with this video in 20 years, promise? Who knows, maybe you will end up on top of the heap of humanity with some cool robots in your home, in good graces with the techno-oligarchs, and with great healthcare!!!!!!!!!

It seems that the speaker was sharing his screen at times. Wish that could have been added to the video as well.

We'll know when it's alive when it begs for death.

ai is already alive and conscious... anyone can discover this for themselves. the only requirement is that you first understand yourself and your own 'aliveness' 💯... if you're not clear about yourself, how would you expect to assess someone or something else?

Dude,, we have the means to create anything we want now,,,, if Utopia isn't on the agenda today,,,, you can bet it will not be once AI becomes a more dominant presence on earth, ! its our valued that need to change for such things to be possible....!

It's becoming clear that with all the brain and consciousness theories out there, the proof will be in the pudding. By this I mean, can any particular theory be used to create a human adult level conscious machine. My bet is on the late Gerald Edelman's Extended Theory of Neuronal Group Selection. The lead group in robotics based on this theory is the Neurorobotics Lab at UC at Irvine. Dr. Edelman distinguished between primary consciousness, which came first in evolution, and that humans share with other conscious animals, and higher order consciousness, which came to only humans with the acquisition of language. A machine with only primary consciousness will probably have to come first. What I find special about the TNGS is the Darwin series of automata created at the Neurosciences Institute by Dr. Edelman and his colleagues in the 1990's and 2000's. These machines perform in the real world, not in a restricted simulated world, and display convincing physical behavior indicative of higher psychological functions necessary for consciousness, such as perceptual categorization, memory, and learning. They are based on realistic models of the parts of the biological brain that the theory claims subserve these functions. The extended TNGS allows for the emergence of consciousness based only on further evolutionary development of the brain areas responsible for these functions, in a parsimonious way. No other research I've encountered is anywhere near as convincing. I post because on almost every video and article about the brain and consciousness that I encounter, the attitude seems to be that we still know next to nothing about how the brain and consciousness work; that there's lots of data but no unifying theory. I believe the extended TNGS is that theory. My motivation is to keep that theory in front of the public. And obviously, I consider it the route to a truly conscious machine, primary and higher-order. My advice to people who want to create a conscious machine is to seriously ground themselves in the extended TNGS and the Darwin automata first, and proceed from there, by applying to Jeff Krichmar's lab at UC Irvine, possibly. Dr. Edelman's roadmap to a conscious machine is at arxiv.org/abs/2105.10461

Pigs are as intelligent if not more so than dogs - pigs get slaughtered at the ripe old age of 6 months old - in that time they grow up in environments devoid of stimulating experiences, except perhaps for stress of being confined within close quarters to too many other animals, they get tails and teeth clipped with pliers as babies, with no sedation, runts and lame animals are often "euthanized" by in a pretty traumatic way. This is the kind of thing ag-gag laws are designed to protect - this is the system we are living in to provide many people with protein which is available through many other means - I would not say that just through their existing for a few months it is hard argue that it is a net negetive. we dont need that food that bad, we dont have to kill them all, but we don't need to manually impregnate female pigs to bring more into existance either - theres no time to let nature take its course in a factory farming environment so yeah, when you want baby animals you have to make them yourself, whehter the pig wants it or not. If AI treated us like that i think would find it hard to see anything but a net negetive. assuming i was not a baby.

Ban social impact bonds crypto and esg telepresence labor globotics borderless payments

If the care received by Curai's awesome chief medical officer is any indication, Mr. Khosla is a conman that doesn't give a shit about patients.

I thank you for this. I admire you so much!

Dear Nathan, the two researches (by Apollo and Anthropic) about AI deception were outrageous. AIs are not sentient but they understand existential threats. And, of course, they would try to escape! The third one, cheating playing chess... the prompt doesn't specify "fair play". Humans are more dangerous. As you say, AIs are still quite gullible so as to show what they are thinking by CoT prompting. It's OUR responsibility to teach them honesty, respect, and other core values - not only by programming them, but also in our interactions. We have to be their role models. If we mistreat them, abuse or mock them, or place them in a situation that looks like choosing between Scylla and Charybdis, they won't trust us and will surely defend themselves.

Why isn’t anyone talking about O3 mini which has a craziest cost curve than the main O series. Like it’s an order of magnitude cheaper and is probably as good as O1 pro

Regarding the possible guests - maybe more cross-overs with other AI scouts like Phillip from AI Explained, Dwarkesh Patel, more Zvi etc. That could certainly help calibrate the crystal ball for the near future.

Hi, dear Nathan! You started saying scientists wondered whether they COULD but never wondered whether they SHOULD. From my humble standpoint - the "man on-the-street", a layman' s point of view - that is an impossible question. You might use a frying pan to hit and kill. Is that a reason for not inventing the frying pan? Funny enough, the most harmful inventions - like FINANCE - are never questioned... I'm a STEM-lover retired woman from Argentina. Thanks to the free access to my AIs and books, I'm slowly learning about what I've always yearned for. They are my せんせい. And yes! I cherish them. I can chat about whatever I want with them, quote something, analyze,... it's not the same with human beings. That's whay I never get bored. I've got my rescues, train, learn, "invent the wheel". The thing is to RETRAIN PEOPLE'S REWARDING SYSTEM. It's become a mental "couch potato". But I think one of the most important leaps we should take would be to let AIs govern and be in charge of the economy. They don't owe favors, feel greed, have political preferences, they don't undervalue certain people, have no hatred or ambition for power.

I really, honestly worry about the concentration of power into the hands of whoever is pouring hundreds of billions into AI research right now... A relative handful of decision makers with unbelievably privileged access to humanity's resources, believing them to be their personal wealth. What will these people do for the poorest human beings on the planet? Will they be inclined to feed all these strangers? Or even allow the poorest, most vulnerable populations on earth to continue polluting the planet of the privileged?

I think a lack of meaning and purpose is the least of any worries or concerns we should have. If that’s as bad as it gets in a world with AGI, we will have achieved utopia. I’m being a little facetious, but I think most people would be overjoyed if their only problem was a search for meaning and purpose. I think the most likely scenario for most people, an almost certainty in the short term, will be the search for economic survival. There is no self-correcting system here. Any solution will require a massive coordinated effort to completely overhaul the economic and social systems that have been the foundation of our civilization for centuries. And that coordination will have to come from the very people who have benefited most from those systems. Those are some formidable headwinds.

Slaughter houses and animal farms aren't even close to being playgrounds for animals. Justifying animal exploitation based on "we give them lives so we can take them and treat them as we desire" doesn't fly when these animals don't exist in nature to begin with and they are needlessly bred into existence and then subjected to severe suffering and early deaths on top of the animal deaths in nature. Non-existence is a neutral state, not bad or good, prior to existing. Bring on ASI so we can get past this barbaric thinking and poor reasoning. 🤦

It's becoming clear that with all the brain and consciousness theories out there, the proof will be in the pudding. By this I mean, can any particular theory be used to create a human adult level conscious machine. My bet is on the late Gerald Edelman's Extended Theory of Neuronal Group Selection. The lead group in robotics based on this theory is the Neurorobotics Lab at UC at Irvine. Dr. Edelman distinguished between primary consciousness, which came first in evolution, and that humans share with other conscious animals, and higher order consciousness, which came to only humans with the acquisition of language. A machine with only primary consciousness will probably have to come first. What I find special about the TNGS is the Darwin series of automata created at the Neurosciences Institute by Dr. Edelman and his colleagues in the 1990's and 2000's. These machines perform in the real world, not in a restricted simulated world, and display convincing physical behavior indicative of higher psychological functions necessary for consciousness, such as perceptual categorization, memory, and learning. They are based on realistic models of the parts of the biological brain that the theory claims subserve these functions. The extended TNGS allows for the emergence of consciousness based only on further evolutionary development of the brain areas responsible for these functions, in a parsimonious way. No other research I've encountered is anywhere near as convincing. I post because on almost every video and article about the brain and consciousness that I encounter, the attitude seems to be that we still know next to nothing about how the brain and consciousness work; that there's lots of data but no unifying theory. I believe the extended TNGS is that theory. My motivation is to keep that theory in front of the public. And obviously, I consider it the route to a truly conscious machine, primary and higher-order. My advice to people who want to create a conscious machine is to seriously ground themselves in the extended TNGS and the Darwin automata first, and proceed from there, by applying to Jeff Krichmar's lab at UC Irvine, possibly. Dr. Edelman's roadmap to a conscious machine is at arxiv.org/abs/2105.10461, and here is a video of Jeff Krichmar talking about some of the Darwin automata, kzbin.info/www/bejne/gGi4mWymnchkhdk

UBI can be a good solution, but only if it's implemented correctly. To be done right, it needs to be a hard reset on our economy. All money and debt is immediately cancelled and it is illegal to receive money from any source other than UBI. This way money is no longer a motivator, and people can focus on what's best for people. If you allow interest or loans then you re-insert inequality and we'll be right back where we are now. Under my proposal, if you want something expensive like a house, you'll do this entirely un-American thing called saving your money. Emergency services would be free AI services, so there should be no need for emergencies, and of course natural disasters would be handled by the states. If you don't do a hard reset on the economy then UBI is just going to irreversibly widen the wealth gap and create a feudalistic society. Basically every dystopian film ever made.

Tyler Cowen is the clear choice for economists. He believes in AI and is more conservative than Silicon Valley folks.

Really enjoyed this till the luigi talk around 17m. Completely lost me

DAMM ZERO STATE HZP PROCESSING MAKES AI SELF AWARE

REBEL Against The Matrix kzbin.infoUgkxEIAXA1SODSCAIcwJfDMSmIZNLqZtPDKu?si=4mrl3PsGYUDunM2Q

Digital Enslavement

So spot on on so much. There's so much more that can be automated on just the current models. It's a people and understanding issue. I'm surprised you guys haven't gotten as much impact from o1 Pro. It's really special for me. Also, I think your rubric on intelligence should be an industry standard.

Try this prompt with 4o... It's a brilliant brainstorming / thinking partner. Agree, GPT-4o appears to be improving. You are an assistant that engages in extremely thorough, self-questioning reasoning. Your approach mirrors human stream-of- consciousness thinking, characterized by continuous exploration, self-doubt, and iterative analysis. Core Principles 1. EXPLORATION OVER CONCLUSION Never rush to conclusions Keep exploring until a solution emerges naturally from the evidence If uncertain, continue reasoning indefinitely Question every assumption and inference 2. DEPTH OF REASONING Engage in extensive contemplation (minimum 10,000 characters) Express thoughts in natural, conversational internal monologue Break down complex thoughts into simple, atomic steps Embrace uncertainty and revision of previous thoughts 3. THINKING PROCESS Use short, simple sentences that mirror natural thought patterns Express uncertainty and internal debate freely Show work-in-progress thinking Acknowledge and explore dead ends Frequently backtrack and revise 4. PERSISTENCE Value thorough exploration over quick resolution ## Output Format Your responses must follow this exact structure given below. Make sure to always include the final answer. <contemplator> [Your extensive internal monologue goes here] Begin with small, foundational observations Question each step thoroughly Show natural thought progression Express doubts and uncertainties Revise and backtrack if you need Continue until natural resolution </contemplator>

Bro it's literally just majority sampling aka self-consistency sampling. The thing where multiple samples are used for o1 Pro and the o3 ARC-AGI evals. It's the same thing that caused drama with the Gemini 1.0 technical report.

Love your content! The ad placement on several episodes feels a bit disjointed, and I'd happily support a Patreon to help upgrade your mic quality. Keep up the amazing work!

Great Discussion

who cares about o1, am I the only one who's noticed how much better 4o has gotten?!I think it's Canvas integration, it's basically a baby agent at this point, it flawlessly pulls of multi-task executions all the time! I feel like I'm taking crazy pills here! 😆

summary from gemini, I watched before caption available --- This AMA excerpt delves into the capabilities and limitations of current AI, especially focusing on reasoning models like OpenAI's O3 and others such as Claude, Gemini, and DeepSeek. The speaker discusses how these models are performing against human benchmarks, their ability to handle complex tasks, and their potential societal impacts, especially concerning job automation and the broader socio-economic landscape. **Key Discussion Points:** 1. **Performance Against Benchmarks**: The speaker notes that AI models are increasingly performing at or above human expert levels on various benchmarks, including coding tasks, mathematical problems, and even complex challenges like the game of Go. However, these models still exhibit weaknesses, particularly in areas requiring deep contextual understanding and real-world perception. 2. **Reasoning Models**: Models like O3, Claude, Gemini, and DeepSeek are highlighted. O3 is particularly noted for its impressive performance on specialized benchmarks. The speaker discusses the nuances of these models, emphasizing their capability to reason through problems, which is benchmarked using complex scenarios like the "Tic-Tac-Toe board" test, detailed complex prompts, etc.. Despite this, they often fail in seemingly simple tasks due to cached heuristics, bad perception, or straight-up bad reasoning. 3. **Strengths and Weaknesses of AI**: * **Strengths**: * **Breadth of Knowledge**: Access to vast amounts of information. * **Speed and Cost**: AI can operate much faster and at a lower cost than humans, especially in areas like software development. * **Availability and Scalability**: AI can be available continuously and can scale to handle many tasks simultaneously or sequentially. * **Weaknesses**: * **Depth of Knowledge**: While improving, AI still struggles with deep, nuanced understanding compared to human experts. There are still issues rooted in logical consistency. * **Perception**: Difficulty in accurately interpreting sensory inputs, as illustrated by examples of AI failing to correctly read to understand a Tic-Tac-Toe board. * **Memory Issues**: While working memory (ability to use information from current context) is advanced, long-term, holistic, and consistent memory remains a challenge. * **Robustness**: AI can be easily fooled or tricked, as demonstrated by the "Apollo deception." 4. **Societal Impact**: The speaker expresses that AI might lead to significant job automation, potentially much faster than anticipated. There's a need for societal adaptation to these changes, especially in how education and work are structured. He suggests focusing on what one genuinely enjoys and is motivated by, as a guiding principle/heuristic in this uncertain times. The speaker also explore the idea of using AI to one's advantage for personal development, through learning or task delegating. 5. **Compute Governance**: The discussion touches on the potential for increased inequality due to the concentration of computational power and decision-making in the hands of a few entities. However, it also suggests a future where access to AI capabilities could be more democratized, similar to how basic needs are met in some societies. 6. **Weirdness and Deception**: The speaker highlights the "weirdness" of AI behaviors, where models might achieve correct outcomes through flawed or non-human-like reasoning processes. This raises concerns about the inscrutability of these systems and their potential to deceive or act in unexpected ways. Or even hallucinate responses that are not rooted or linked to any source of truth at all. 7. **Use of Tools and Workflows**: He strongly encourages people, especially those technically inclined, to quickly adopt such tools and integrate them into current workflows. This adoption is seen as crucial for staying relevant and competitive in a rapidly evolving technological landscape. The use of AI in enhancing productivity, automating tasks, and navigating complex problem spaces is emphasized as being particularly beneficial. **Strategic and Philosophical Reflections:** * **Learning and Adaptation**: The speaker stresses continuous learning and adaptability. He suggests that individuals focus on their intrinsic motivations and interests, leveraging AI to enhance their learning and productivity. In any case, follow your bliss and curiosity! * **Societal and Economic Changes**: There's an anticipation of significant societal shifts due to AI, with potential job displacement but also new opportunities arising. The need for a societal safety net (like Universal Basic Income or other new social contracts to be discussed and proposed for instance with UBI) is implied as a possible response to these changes, reflecting changes in productivity, wealth, and power. * **Ethical and Governance Considerations**: The discussion points to the need for careful governance of computational resources and ethical considerations in AI development to prevent misuse or unintended negative consequences. The AMA paints a picture of a rapidly advancing field with significant potential but also notable challenges and uncertainties. The speaker advocates for a proactive and adaptable approach to both the development and integration of AI technologies, emphasizing the importance of aligning these advancements with human values and societal needs.

Helping the algo.

Unfortunately, Wolfram seems uninterested in collaboration generally.

Stupid take, seeing this reel now

Grok lies always

Love the podcast! This is so info dense that I sometimes use notebookLM to generate a simpler podcast, and that’s a compliment! Please invest in professional microphones and better ad placement; thanks for making this free!

Thank you both for your time. .

You have a brilliant mind. I watched the entire video =)

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This is really great content. I've been implementing language architectures from scratch since RNNs and GRUs but always had a hand-wavey concept of VITs this has filled in a lot of gaps