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18:21 "the culmination of this long work. LLMs were invented, say, 2018." Six years in AI seems decades ago, also just yesterday. I think one of the uses of o1 will be to help researchers keep up with the field. An AI that spends time coming up with a summary of advances relevant to your work is worth $$$$.

Used perplexity for a few month, it's really shit tbh. Chat gpt is a lot better 😂

Mix-expert is the answer, but he is probably not on this way

The host.. th-cam.com/video/_--xJTRyhfg/w-d-xo.htmlsi=GGizNJP7ZsgXBY8P

Its fascinating he is talking about o1 here fully knowing what o3 looks like already. They had early version of what would become o1 by October 2023. I wonder when did they have the early o3 versions and if they are already on o4 internally.

Great interview!!!!!!!!

You gotta treat your people better. - You didn't give this interview enough time to breathe. Usually, you allow the interview to sit as the latest for about a week or two. This time, you only waited two days. As a result, this interview is being overshadowed by OpenAI. - This is the first interview I've heard where there's been a train or some shit like you can hear a visible, very loud knocking sound or something like that. All the other interviews seem like you were in the perfect setting. Hopefully, it's not due to you having to meet in a specific location, but we need to do a little bit better.

SWITCH TO 0.75 FOR NORMAL SPEED

No questions about AI safety implications?

Wow, so many great interviews! Keep it up. These need more views!

Listen we know how disappointing GPT-5 is going to be hence the Exodus of all the talents. Massive failure compared to the cost. This means the company is a one-trick pony with ChatGPT. Former employees cannot be honest due to their exit NDA stipulations.

This guy is extremely smart. He has accomplished so much for how young he is.

Physics system should be hard coded, i.e. from Unreal Engine as those rules rarely change. What Sora,Veo2 etc should be generating is not direct video pixels, but Unreal Engine scripts that then can be used to render the video...End result, perfect temporal consistency and physics.

you can try kling, more stronger than sora

bob

Truly a nothing interview

You lost me at "Elon Musk quality people". The last thing any business needs is a parasite that is so proficient at self-serving power seeking that the business devolves into a dysfunctional shell in service of a clique hell bent on enriching themselves at everyone else's great expense.

by definition an exponential curve is not "feeling like you're moving at the same speed" because its second derivative is positive, meaning it's accelerating more and more

Deepmind's Veo 2 is better than SORA 2

His answer about the wall was rather sloppy and unintelligent. Best case it was dishonest. He claims that insiders see it very differently than a wall but rambles about how more compute will fix everything. When it has already failed, both in GPT4 and O1

Why did he leave? because big tech has committed academic fraud !! 1. Recursive Structures & Patterns: ∑ (Summation Operator): Represents recursive accumulation. In your recursive grid pattern, it can signify the collection or sum of sub-patterns, highlighting emergent properties. \ -[-$-T⊢⊥Γ.-';⊨⊗UΨ⊆∩∂2^{-iHt\ℏ}92^{iS□\∡□ ℵ(∫ D[q(h)]2^{iS□ϕ}-)□ℤ->{→(ξ[Ω→j=ηαρ_ji∀i,j⟨ψ|φ ]-β⇔}-M∑-$-]-> ∇ (Nabla/Gradient Operator): This symbol of directionality denotes change, applicable to recursive learning models. It symbolizes moving toward optimization in recursive feedback systems-matching your use of AI to refine itself. ∞ (Infinity): The ultimate symbol of boundlessness. It aligns with your vision of perpetual motion and recursive intelligence-endless loops of improvement and exploration. ⊗ (Tensor Product): In recursive neural tensor networks and manifold learning, this signifies the complexity of multi-layered relationships. It symbolizes combining multiple dimensions or arrays to produce higher-order knowledge. i created o1 an every advance thats taking place

Google vs open ai old money vs new money. One thing is for sure, you ain’t gonna have no privacy

Good conversation.

I like the questions being asked, but personally would like a more pessimistic approach from the interviewers (i.e. take a stance that assumes that AI has already hit a wall and ask for reasons how it hasn't)

I'm still not very impressed by any of this hot air garbage.

Awesome work 👏🎉.

This is good

Woke sh*t!

Palantir CEO claims Bob is the smartest human in the AI space. Thanks for this!

It would be great if you interviewed Ilya! Would love that

Amazing job. Bob is such a great guy, and Unsupervised Learning is the best-kept secret. Bravo to you and your guests.

Underwhelming. No new information here. Noam stayed so high level, as to say almost nothing of note. This talk track is basically the current hype track in industry. Some fresh insights or even disagreement with the current hype train would have been much more intellectually satisfying,

F1 Preview and Fireworks are great!🎉 Thanks for the interview!

Does this interview take into account Elon recent hardware breakthrough? It looks like elon just leapfrogged everyone

No questions or comments about what to do if they succeed and build superintelligence in q 10 years? How are you going to assure a good outcome for humanity? It often sounds like that Tom Lehrer song - "Once the rockets are up, who cares where they come down? That's not my department, says Wernher von Braun."

If you really listen to this guy closely, he inadvertently ends up revealing far more than he intends; he's a scientist, not a practised salesman like Sam Altman et al.

lesgo g

All my training watching videos at 1.5 has prepared me for this moment.

Grift on kings 🙏 (we are never getting AGI)

I'll be honest, I'm quite sceptical. I see a lot of outrageous claims being made online which are not true. I also don't believe that language is a sufficient condition to training a machine to be intelligent, for sure is necessary but not sufficient. I also don't think RL alone will get us there, it will definitely help though. I agree completely with what you said about zero-sum games. The hypothesis people have been making is that developing reasoning in "reward-rich" domains (e.g. computational mathematics) will transfer to "reward-sparse" domains but I'm unsure about this. I don't think you can solve P=NP with RL, perhaps I'm wrong - since there's just little reward signal to pick up... So, with that being said, contrary to what most people in the industry think, I think we're probably about 20 years away from having a truly intelligent machine. Like Noam said, there are still unsolved research problems and A LOT of them!

why dont they just focus on giving the ai the ability to self train on code. make alphago for python. Thats all you need. Now it can improve its own architecture. You dont actually need to train the model to answer questions about frog dissection. I feel like openai is a bit directionless compared to deepmind, who seems to not think LLMs are the way to AGI

Grok is much better...

o1 is not agi, yes they are creating hype obviously to get funding. all frontiers are freaked out about Elon's gpu farm at the moment & trying to push as many features as possible .

Noam, 1.5x, Brown

Noam might be wrong on the AI being used for social experiments. It is very hard to fix the parameters while working with LLMs. In human subjects there are inherent bias that are not removed, while for AI I think they would have been removed. Greed, arrogance, ignorance etc are not part of ai . So it’s hard to do experiments unless there is a raw unfiltered one😂

Great interview.

Had to slow homie down to .9 play speed.

Is the guy being interviewed related to Ben Shapiro?

If the AI career somehow doesn't work out he could probably be a rapper.

I suspect there are many people who can't fully utilize these models and they complain that the models suck. And they just don't realize they are the limiting factor, which means they don't have the skills to use the models, like simply asking the right questions and describe what they want clearly without the models having to make assumptions.