Alternative interpretation: OpenAI are finding Anthropic's latest models to be surprisingly good and are considering a pricing war in response
LLMS
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Visible cyber/bio refusals vs invisible frontier LLM refusals
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Those were the visible refusals for cyber/bio/etc – it was just the refusals for "frontier LLM development" that were deliberately made invisible
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Looking Back at ChatGPT Code Interpreter, the First Coding Agent
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It's funny to look back at this Twitter conversation about the then-new ChatGPT Code Interpreter from three years ago – in hindsight, it was our first glimpse of a coding agent, before we knew what a coding agent was.
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Anthropic not first to keep good models internal; Google does too
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Btw, Anthropic is not the first company that keeps the good models to themselves. Google’s internal coding models are trained on their own codebase, and are not available publicly
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Fable 5: Making guardrails visible for LLMs, canceling a scandalous decision
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Do not miss the exact text however: « We modify the guardrails of Fable 5 for the development of cutting-edge LLMs to make them visible » – making them visible means they cancel the truly scandalous (dare I say 'misaligned') decision to have
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Honest refusal is a win over lying
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I read and entirely understood it, and I quoted the exact text that said "to make them visible" I see this as a win. I don't want models that lie to me – refusing a task but being honest about that refusal is a big improvement
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GPT-5.5 Pro’s boring nature poem lacks Fable’s self-referential quality
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GPT-5.5 Pro pulls this off technically with the same prompt, but with a somewhat boring nature poem that doesn't hold together quite as well, and without the same self-referential nature of Fable.
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LLM price wars predicted two years ago by Marcus
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Called the LLM price wars – which are about to heat up — over two years ago. See especially predictions 3, 4, and 7, which laid out the no moat, small profit, price war regime we have seen ever since. Funny how the tech bros allege I am always wrong when in fact my predictions
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AINews: Open Models, Model Labs vs Agents, Unspeakable
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[AINews] Open Models, Model Labs vs Agent Labs, and what is unspeakable — Sarah Guo
https://latent.space/p/ainews-open-models/model-labs-vs
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our take on why @saranormous's is probably the most important framework to work on, and what matters. -
Open weight models cause threat, Meta weak – directionally true
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exactly, even the most wrong one is still directionally true, it’s just a different set of open weight models causing the threat. not my fault Meta has been so weak 🙂