AI builders: what they publish and believe, in their own words.
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Top people in AI
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4 April
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Their words
Something I've been thinking about - I am bullish on people (empowered by AI) increasing the visibility, legibility and accountability of their governments.
2 April
28 March
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Their words
The LLMs may elicit an opinion when asked but are extremely competent in arguing almost any direction. This is actually super useful as a tool for forming your own opinions, just make sure to ask different directions and be careful with the sycophancy.
26 March
25 March
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Their words
One common issue with personalization in all LLMs is how distracting memory seems to be for the models. A single question from 2 months ago about some topic can keep coming up as some kind of a deep interest of mine with undue mentions in perpetuity.
20 March
From one piece Skill Issue: Andrej Karpathy on Code Agents, AutoResearch, and the Loopy Era of AI 2 beliefs, in the piece's order there
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Their words
But okay, they shouldn't actually be enacting these ideas. There is a queue of ideas and there's maybe an automated scientist that comes up with ideas based on all the archive papers and GitHub repos and it funnels ideas in or researchers can contribute ideas, but it's a single queue and there is workers that pull items and they try them out.
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korrents.com
What limits you with coding agents is your own skill at stringing them together, not the capability of the models.Their words
I think to a large extent you feel like it's a skill issue. It's not that the capability is not there. It's that you just haven't found a way to string it together of what's available.
25 February
19 December 2025
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Likedrcmnd.app
Claude CodeTheir words
Claude Code (CC) emerged as the first convincing demonstration of what an LLM Agent looks like - something that in a loopy way strings together tool use and reasoning for extended problem solving.
10 December 2025
22 November 2025
18 November 2025
17 November 2025
1 October 2025
30 September 2025
23 September 2025
9 September 2025
21 August 2025
17 July 2025
From one piece Assessing Adaptive World Models in Machines with Novel Games (with 13 co-authors) 3 beliefs, in the piece's order there
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Their words
We contend that games provide particularly rich and controlled environments uniquely well-suited for systematically evaluating rapid model adaptation and the process of world model induction.
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Their words
We expect that building and evaluating AI systems capable of this kind of rapid world model induction will be critical for achieving robust, general AI capable of functioning effectively in the complex and fast-changing real world, and especially in human worlds - the environments that human beings have evolved in, created, and are continually changing and re-creating.
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Their words
However, current understanding and evaluation of world models in artificial intelligence (AI) remains narrow, often focusing on static representations learned from training on massive corpora of data, instead of the efficiency and efficacy in learning these representations through interaction and exploration within a novel environment.
12 June 2025
10 June 2025
From one piece The Gentle Singularity 2 beliefs · blog.samaltman.com
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korrents.com
AI agents can now do real cognitive work, and writing software is permanently changed as a result.Their words
2025 has seen the arrival of agents that can do real cognitive work; writing computer code will never be the same.
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Their words
There will be very hard parts like whole classes of jobs going away, but on the other hand the world will be getting so much richer so quickly that we’ll be able to seriously entertain new policy ideas we never could before.
4 June 2025
8 April 2025
4 April 2025
9 February 2025
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korrents.com
People will find new kinds of useful work as AI advances, though it will not resemble the jobs of today.Their words
We will find new things to do, new ways to be useful to each other, and new ways to compete, but they may not look very much like the jobs of today.
20 December 2024
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Their words, before
This "memorize, fetch, apply" paradigm can achieve arbitrary levels of skills at arbitrary tasks given appropriate training data, but it cannot adapt to novelty or pick up new skills on the fly (which is to say that there is no fluid intelligence at play here.)
Their words now
OpenAI's new o3 model represents a significant leap forward in AI's ability to adapt to novel tasks. This is not merely incremental improvement, but a genuine breakthrough, marking a qualitative shift in AI capabilities compared to the prior limitations of LLMs.
From one piece OpenAI o3 Breakthrough High Score on ARC-AGI-Pub 2 beliefs · arcprize.org
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Their words
Passing ARC-AGI does not equate to achieving AGI, and, as a matter of fact, I don't think o3 is AGI yet. o3 still fails on some very easy tasks, indicating fundamental differences with human intelligence.
OpenAI o3 Breakthrough High Score on ARC-AGI-Pubarcprize.org
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Their words
o3's improvement over the GPT series proves that architecture is everything. You couldn't throw more compute at GPT-4 and get these results. Simply scaling up the things we were doing from 2019 to 2023 -- take the same architecture, train a bigger version on more data -- is not enough.
OpenAI o3 Breakthrough High Score on ARC-AGI-Pubarcprize.org
12 December 2024
12 February 2024
1 November 2023
1 October 2020
2 February 2018
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