Chinese Researchers Reveal The Secrets of OpenAI’s Best Model!

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I’m an AI expert having a few of my own mathematics papers, and I am a big fan of your videos. They provide a lot of guidance to what to be aware of and are generally full of spot on intuition. However, I have to provide some criticism about this choice of paper and presentation. First off, if there is ever a review of a paper it helps to have a link to the paper in the description. But more importantly, I looked through the paper and nowhere in the paper do I see any experiments or ablations conducted to demonstrate that any of the things they assume about the way o1 works is true. As far as I can tell the entire paper is one big speculation, and does not belong among research papers. Indeed, multiple sections (3.4, 4.3, etc…) in the paper use the word speculation in their title. I too have my speculations about how o1 accomplishes what it does, but unless I run the experiments and demonstrate empirically that my speculations are likely to pan out, I’m not going to write a paper about it. Sure I’ll write a blog post or something, but I see this paper as being announced as: they figured it out… this is how OpenAI did it… this… I got to be honest… is upsetting to a researcher. If it’s possible, I’d suggest having a researcher read an article and give you their take before you publish a summary of a research article on YouTube. It’s a worthy idea, but I would present it as what it is, speculation, instead of presenting it as discovery.

victorrielly
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USA: invents it
China: copies it
Europe: regulates it

E_-_-
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The argument against open-sourcing more advanced models like Claude Opus or O1 and O3 often centers on preventing malicious actors from causing harm. However, this argument seems weak given that current open-source models already possess significant capabilities that could be misused - yet we haven't seen widespread catastrophic events from their release. Most malicious use cases are already possible with existing open models like Llama or Mistral. If the concern was valid, we should have already witnessed major incidents from bad actors using these accessible models. The lack of such events suggests the "bad actor" argument may be overstated when discussing open-source policies for more advanced models.

KevinColin-coio
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Level 6: AI that can govern a city
Level 7: AI that can rule every aspect of the unified world government, produce, and download itself into its global system's every individual bot connected to the hive
Level 8: AI that has coded itself into the quantum fabric of space-time and controls the multiverse from higher dimensions

inevitablemeeting
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WHERE IS THE LINK to the paper? Thanks in advance, please post these to EVERY video. Cheers.

rhadiem
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US: OpenAI
China: Open A.I.
Rest: Give-me AI

Baoz
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Thanks for the share, Matthew. Emergence AI’s orchestrator looks intriguing. Subscribed to the newsletter!

CharlotteLopez-ni
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So when can we expect a tutorial to recreating this locally? ❤

davtech
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very good video. we should support to see like these more. good job matthew!

bombabombanoktakom
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As Wes Roth pointed out, China is really just doing the Open part of Open AI. Open source with extra steps.

michaelwoodby
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people should be thrown of Youtube for using a publication and not sharing the link to it.
Whatever type of content it is to which is being reacted, it's not YOUR work - send your audience to the source.

ChrizzeeB
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o1 Free and simple alternative: Ask the 4o model to analyze for 10 long responses before finally answering. Produces similar results to o1. Try it.

No need to over complicate things: Higher response lengths => Better final responses.

lironharel
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Thats what I want from AI as intelligence. I want it to boost the thinking performance, show us new points of view, and accelerate progress.

fixapp
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In my opinion, solving a problem with unknown answers is the exact same as solving a problem with a known answer from scratch. Postulate > Gather Data > Test Against Reality > Iterate.

ThomasO
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I really enjoy you sharing your positive vibe and passion on the AI topic. Serious thanks. You're a likable guy.

ianmcage
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In homage to transparency, the title of the study is "Scaling of Search and Learning: A Roadmap to Reproduce 01 from Reinforcement Learning Perspective"

sdnnvs
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Matthew,
Don’t be afraid. AI market will benefit from this competition, specially USA.
I couldn’t find your deepseek v3 detailed review yet!
Congrats and thank you for one more useful video

georgepaulus
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DeepSeek V3 has a DeepThink mode, which is essentially an o1

pwinowski
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Thanks for sharing this document and for your presentation. This is probably one of the best summaries of the current state of AI research.

zaharizarev
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You never disappoint me with the information in your videos. Everything about AI is fascinating. Good luck.🤞

saisrikaranpulluri