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OpenAI Chief Research Officer, Mark Chen "We've found a new paradigm through Reasoning, which we're also scaling" - GPT-5 could be a significant advancement because we're scaling models not just through unsupervised learning (like with GPT-4.5), but also through a new "reasoning paradigm" - GPT-5 maybe a combination of... show more

Haider.

66,885 subscribers

153,382 次观看 • 1 年前 •via X (Twitter)

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12 条评论

Rand 的头像

Rand1 年前

so why even release 4.5, just give us 5

Rainmaker 的头像

Rainmaker2 年前

Can Machine Learning handle volatile markets? Find out in my latest free Substack post! Explore how a Hidden Markov Model (HMM) can navigate market fluctuations and protect your investments. Full code and practical insights are shared.

Yossi Dahan 的头像

Yossi Dahan1 年前

OAI felt the pressure to drop this teaser after the chaotic GPT-4.5 release - just to signal ‘we’re still in the game.’ Cool, we’ll see about that. Wishing them luck.

Julian Shalaby 的头像

Julian Shalaby1 年前

After GPT 4.5 I have no hope left in OpenAI. I wouldn’t have been impressed with GPT 4.5 in 2023 even

Haider. 的头像

Haider.1 年前

be patient 👀

Tom Boyle 的头像

Tom Boyle1 年前

A hybrid of unsupervised learning and reasoning seems crucial for more nuanced models like GPT-5.

Charli 的头像

Charli1 年前

Pretty sure pure RL and unsupervised learning are the future. As Google said: SFT memorises RL generalises. Less about making humans happy more about actually learning, like AlphaGo and move 37

Justin 的头像

Justin1 年前

Hmm. I don't think they will further scale o3 and release that as part of GPT-5. But I could be wrong. GPT-5 will probably mostly be GPT4o. Maybe even 4o-Mini. Most questions are easy so they will use the easier models on them. For the hard questions, they'll use Reasoners (usually Mini versions). If they architect really well, they will have GPT45 give initial data & info, paired with search, before kicking to another model. What I'm concerned about is they may practically never use o3+Gpt4.5 fully together. Instead, o3 will just use GPT4o. I think it will just be too expensive for the rest of the year. Tbd.

Jo 的头像

Jo1 年前

when you scale a model by 10x compute like 4?5 for it to barely be better than 4 and even sometimes worse its not scaling anymore, its time to aknowledge that pretraining hit a wall and its time to find a newer architecture or you're just scamming investors at this point

Jay Ballentine 的头像

Jay Ballentine1 年前

They’ve lost all their credibility after 4.5. We should just ignore them from now on.

Alex Kantrowitz 的头像

Alex Kantrowitz1 年前

Full interview here for those interested!

Haider. 的头像

Haider.1 年前

great interview, alex... i watched every tech-based interview from your channel

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Sam Altman says AI reasoning is still at the GPT-2 stage but the improvement curve is steep and the new o1 model represents a new paradigm of AI development which will enable rapid progress in capabilities

Sam Altman says AI reasoning is still at the GPT-2 stage but the improvement curve is steep and the new o1 model represents a new paradigm of AI development which will enable rapid progress in capabilities

Tsarathustra

419,003 次观看 • 1 年前

Dylan Patel says GPT-5 is not a bigger model and did not gain intelligence through scale but through optimization. He highlights how OpenAI improved efficiency by cutting down wasted tokens compared to earlier o-series models. He adds that GPT-5’s new router system decides whether to use the base model, mini, or thinking, leading to faster and more efficient results. He points out that o3 could think for around 30 seconds, while GPT-5 only thinks for 5–10 seconds, meaning less compute is used per query.

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Wes Roth

87,396 次观看 • 11 个月前

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Mario Nawfal

63,576 次观看 • 11 个月前

Update on the new reasoning popover in ChatGPT web app prompt composer - there's now even a keyboard shortcut to cycle through reasoning levels, and it looks like these levels correspond to "Quick" (low) = GPT-4o, "Think a little" (medium) = o3-mini, and "Think harder" (high) = o3-mini-high

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Haider.

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17,266 次观看 • 5 个月前

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24,422 次观看 • 1 年前

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250,150 次观看 • 1 个月前

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1,142,801 次观看 • 3 年前

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🆕Scaling Test Time Compute to Multi-Agent Civilizations, with Noam Brown We're excited to publish our full conversation with Noam Brown on the frontiers of the new reasoning paradigm at OpenAI! - first principles for starting the "Multi-Agents" team - what's not captured by the "System 1/System 2" analogy for inference time compute - how Ilya Sutskever convinced him that reasoning was closer than he thought - Deep Research is existence proof that RL generalizes beyond verifiable rewards - the relationship between AI for imperfect information games (like Poker, Stratego, Diplomacy) and reasoning Enjoy! on youtube, or wherever fine podcasts are sold.

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105,923 次观看 • 1 年前