Olcan

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Olcan

Olcan

@olcan

Engineer @GoogleDeepMind. Prev. Product @ GDM, Founder/CEO @ Scaled Inference, Engineer @Google (Search, Research, X, Brain). Creator of @EnjoyMindPage.

Palo Alto, CA Katılım Haziran 2008
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Nathan Lambert
Nathan Lambert@natolambert·
The answer (~44:40) to Noam's question on @NoPriorsPod --- @karpathy: Well, I was there for a while, right? And I did re-enter. So to some extent I agree. And I think that there are many ways to slice this question. It's a very loaded question a little bit. Um, I will say that... I feel very good about what people can contribute and their impact outside of the frontier labs, obviously. Not in the industry, but also in like more, like ecosystem-level roles. So your role, for example, is more ecosystem level. My role currently is also kind of more on an ecosystem level, and I feel very good about the impact that people can have in those kinds of roles. I think conversely there's... there are definite problems in my mind for, um, for basically aligning yourself way too much with the frontier labs too. So fundamentally I mean you're, you have a huge financial incentive to, uh, with these frontier labs. And by your own admission, the uh, the AIs are going to like really change humanity and society in very dramatic ways, and here you are basically like building that technology and benefiting from it like and being like very allied to it through financial means. Like this was a conundrum that was in, um... at the heart of, you know, how OpenAI was started in the beginning, like this was the conundrum that we were trying to solve. Um, and so you know, that—so it's kind of... @saranormous: It's still not resolved. Andrej Karpathy: The conundrum is still not like fully resolved. So that's number one. You're not a completely free agent and you can't actually like be part of that conversation in a fully autonomous, um, free way. Like if you're inside one of the frontier labs. Like there are certain things that you can't say, uh, and conversely there are certain things that the organization wants you to say. And you know, they're not going to twist your arm, but you feel the pressure of like what you should be saying, you know? Cause like, obviously. Otherwise it's like really awkward conversations, strange side-eyes, like what are you doing, you know? So you can't like really be an independent agent, and I feel like a bit more aligned with humanity in a certain sense outside of a frontier lab, because uh, I don't, I'm not subject to those pressures almost, right? And I can say whatever I want. So those are like some sources of misalignment I think, to some extent. I will say that like, in one way I do agree a lot with that sentiment that, um, I do feel like the labs, for better or worse, they're opaque and a lot of work is there, and they're kind of like at the edge of capability and what's possible, and they're working on what's coming down the line. And I think if you're outside of that frontier lab, uh, your, your judgment fundamentally will start to drift, because you're not part of the, you know, what's coming down the line. And so I feel like my judgment will inevitably start to drift as well. And uh, I won't actually have an understanding of how these systems actually work under the hood. That's an opaque system. Uh, I won't have a good understanding of how it's going to develop and etc. And so I do think that in that sense I agree and it's something I'm nervous about. I think it's worth basically being in touch with what's actually happening and actually being in a frontier lab. And if some of the frontier labs would have me come for, you know, some amount of time and do really good work for them and then maybe come in and out— Sarah Guo: Guys, he's looking for a job, this is super exciting! Andrej Karpathy: (Laughs) Then I think that's maybe a good setup. Because I kind of feel like it kind of, um... you know, um, maybe that's like one way uh to, to actually be connected to what's actually happening but also not feel like you're necessarily fully controlled by those entities. So I think honestly in my mind like, uh, Noam can probably do extremely good work at OpenAI, but also I think his most, um, impactful work could very well be outside of OpenAI. Sarah Guo: Noam, that's a call to be an independent researcher, if you got auto-research. Andrej Karpathy: Yeah, there's many things to do on the outside and it's a... and I think ultimately I think the ideal solution maybe is like yeah, going back and forth, uh, or um, yeah, and I think fundamentally you can have really amazing impact in both places. So very complicated, I don't know, it's a very loaded question a little bit, but um, I mean I joined the frontier lab and I'm outside, and then maybe in the future I'll want to join again, and I think um, uh, that's kind of like how I look at it.
Noam Brown@polynoamial

@saranormous @karpathy @NoPriorsPod Why is he not at a frontier AI lab at the most pivotal time in human history since at least the industrial revolution?

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Olcan
Olcan@olcan·
@pp0196 @fchollet presumably to generate examples, because otherwise there is no human-like learning as they are claiming
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Bioinfhotep
Bioinfhotep@pp0196·
@olcan @fchollet the author says in the comments that one of the strategy employed by the LLMs is to literally transpile python into the language or something
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François Chollet
François Chollet@fchollet·
This is more evidence that current frontier models remain completely reliant on content-level memorization, as opposed to higher-level generalizable knowledge (such as metalearning knowledge, problem-solving strategies...)
Lossfunk@lossfunk

🚨 Shocking: Frontier LLMs score 85-95% on standard coding benchmarks. We gave them equivalent problems in languages they couldn't have memorized. They collapsed to 0-11%. Presenting EsoLang-Bench. Accepted to the Logical Reasoning and ICBINB workshops at ICLR 2026 🧵

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Olcan
Olcan@olcan·
@Yuchenj_UW Yeah, pretty much, either that or the opposite
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Yuchen Jin
Yuchen Jin@Yuchenj_UW·
Some people at frontier AI labs told me they believe startups are over. OpenAI, Anthropic, Google, xAI will absorb every industry as AGI nears. Coding today, science, medicine, and finance next. Then everything else. If they’re right, that’s a pretty boring end of the world.
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Sayan
Sayan@thesayannayak·
At this rate everyone’s gonna have their own app and zero users.
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Olcan
Olcan@olcan·
@earnmyturns It seems many/most people did not know this was possible at all, and most experts (like this one) are inadvertantly adding to the hype by trying to dismiss it without being clear about the underlying odds/risks and how it compares to other established treatments.
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Fernando Pereira
Fernando Pereira@earnmyturns·
@olcan The hype is assuming potentially == actually. mRNA-based cancer treatments have been in development since 2008. None are currently licensed.
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Olcan
Olcan@olcan·
@kepano also worth noting that knowing the answer to a question is not the same as knowing to ask that question, or why it matters
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kepano
kepano@kepano·
your edge is whatever you know that the models don't know
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Patrick Heizer
Patrick Heizer@PatrickHeizer·
@paulnovosad 1) I said it was impressive. 2) It's an N = 1 case report. We don't know if the "vaccine" killed the tumor, or it just sucked up a lot of toxic chemicals from the formulation. In fact, that's how chemotherapies work at a high level.
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Patrick Heizer
Patrick Heizer@PatrickHeizer·
Sorry to be the downer because this is an impressive story in some senses. But it is ~trivially easy to make a single mRNA vaccine. It's not hard. I cure mice of various cancers with various therapeutics all the time. I've made mice lose more weight in a month than tirzepatide does in a year. What is hard and expensive is proving its BOTH safe AND effective **in a randomized and controlled study in humans** while ALSO manufacturing it at clinical scale and grade. I am happy for this man and his dog. It is impressive. But y'all are overhyping it.
Séb Krier@sebkrier

This is wild. theaustralian.com.au/business/techn…

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Olcan
Olcan@olcan·
@fchollet FWIW these days harness/context engineering is less about phrasing and much more about making sure the model has the right context and tools for the task.
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François Chollet
François Chollet@fchollet·
The persisting importance of prompt engineering -- and now harness engineering -- is one of the best indicators of how far we are from AGI. A general system doesn't need a task-specific harness. And when provided with instructions, it is robust to phrasing variations.
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Dwayne
Dwayne@CtrlAltDwayne·
Imagine you're an xAI engineer. You worked 80 hour weeks for a year. You helped build Grok. And then one morning you open Twitter and your CEO has told the entire world that everything you built was wrong and needs to be redone from scratch. And he thinks this makes him look like a visionary. That's why people left.
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Olcan retweetledi
Derya Unutmaz, MD
Derya Unutmaz, MD@DeryaTR_·
Mustafa Kemal Atatürk, who is the founder of modern Turkey, one of the most visionary leaders in history and my personal idol to whom I am grateful with great respect! I was deeply touched by these AI animations of his photos from a century ago!
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Olcan
Olcan@olcan·
@sirbayes well you didn't say no 😆
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Kevin Patrick Murphy
Kevin Patrick Murphy@sirbayes·
Now I know why they call it `dangerously-skip-permissions`... Claude: "The direct Google route has too much friction. Want me to remove the google-gemini-* method files?" Me: (asks unrelated question) Claude: "Let me remove the google-gemini files."
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Olcan
Olcan@olcan·
Am i the only one who did not notice this object in MacOS Preview app icon until they made it the only thing in the icon? 😆
Olcan tweet mediaOlcan tweet media
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Samuel Albanie 🇬🇧
Samuel Albanie 🇬🇧@SamuelAlbanie·
the two cultures gdm mountain view: no ironing board in the changing room gdm london: morning queue to iron shirts
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