AI, watched closely: what they publish and believe, in their own words.
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Top people in Anthropic
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20 September
19 September
18 September
16 September
15 September
14 September
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korrents.com
Internal models at top labs are improving faster than public ones and have begun early recursive self-improvement.Their words
Inside Anthropic and OpenAI, internal models are improving even faster. Over the summer there was a step change, as Mythos and Astra started kicking off the early stages of recursive self-improvement (RSI).
13 September
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korrents.com
Recursive self-improvement has already started, because AI research itself is now being automated.Their words
OpenAI and Anthropic have entered the RSI era. OpenAI Research Progress Is Accelerating Due To OpenAI Research Progress OpenAI has been opening up lately about many things. The most important issue of all is that of the acceleration and automation of AI R&D.
11 September
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korrents.com
Many employees at major AI labs earnestly believe humans may go extinct by the end of the decade.Their words
Many in the AI labs, including OpenAI, Anthropic and Google, earnestly believe that humans may all go extinct by the end of the decade.
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Usesrcmnd.app
Claude Fable 5.1Their words
We ran an extensive audit using Claude Fable 5.1, GPT-5.6 Sol and GPT-6 Astra, then fixed a range of different bugs.
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Usesrcmnd.app
GPT-5.6 SolTheir words
We ran an extensive audit using Claude Fable 5.1, GPT-5.6 Sol and GPT-6 Astra, then fixed a range of different bugs.
9 September
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korrents.com
Qualitative claims about AI alignment cannot be validly inferred from quantitative scores on mundane use-case tests.Their words
Making qualitative claims about alignment, based on quantitative data on mundane use case tests, was bullshit when Anthropic did it, and it is bullshit now when OpenAI does it. You cannot conclude one from the other.
2 September
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Their words
I have long said that even Anthropic is not prioritizing safety, even to the extent that doing so would maximize their medium term (e.g. 3-12 months) business interests.
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Their words
I don’t trust Claude to summarize its own system prompts when there’s a risk that material from its system prompt might impact its opinions.
19 August
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Usesrcmnd.app
Claude CodeTheir words
Like seemingly everyone else at the end of last year, I began messing around with Claude Code, and have since made a small handful of apps that I really do use all the time.
10 August
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Their words
Claude Haiku is my current least favorite model - it hallucinates wildly, and is out-performed now by other similarly priced models like GPT-5.6-Luna Even worse: it seems to still be used by the Claude Code WebFetch tool, which means hallucination risk any time you fetch a URL!
23 July
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korrents.com
Google currently has no leading frontier AI model and no agentic coding tool comparable to Codex or Claude CodeTheir words
Google, which led on benchmarks not that long ago, has fallen behind where it now counts: it has no leading frontier model and it has nothing close to Codex and Code.
9 June
31 March
19 March
From one piece Simon Willison: Engineering practices that make coding agents work - The Pragmatic Summit 3 beliefs, in the piece's order there
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Their words
Why would I use a date picker library where I'd have to customize it when I could have Claude write me the exact date picker that I want.
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Their words
I think the most interesting question is what can the models we have do right now? And so the only thing I care about today is what can Claude Opus 4.6 do that we haven't figured out yet. And I think it will take us 6 months to even start exploring the boundaries of that.
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Their words
OpenAI and Anthropic have both realized that code is the most important thing to optimize the models for, cuz that's where the money is. Like coders will spend $200 a month on a plan if it's good enough, it turns out.
7 January
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