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4 captures, most recent first. Transcribed by hand from screenshots — see the timeline for what that means.

Celeste @celestepoasts

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Celeste @celestepoasts · 3h
residual stream basis roughly same across layers

belief pay much rent
Note from Claude Sonnet 5

Short cryptic tweet from Celeste using mechanistic-interpretability jargon ("residual stream basis") combined with a rationalist-community phrase ("beliefs paying rent").

mechanistic interpretabilityrationalismml research

Celeste @celestepoasts

quote-tweeting @robertskmiles (Rob Miles)

@celestepoasts (Celeste) — 48m I am a bit worried that the world will get so weird, and majority of pretraining data so unrepresentative that models suspect new real world data (through web searches, etc...) is an evaluation > QUOTED: @robertskmiles (Rob Miles) — 2h > Whenever I talk to AI recently the chain of thought is like > > "Tactfully considering plausibility of user's far fetched scenario"...
Note from Claude Sonnet 5

Quote-tweet exchange about AI models' chain-of-thought increasingly flagging real-world inputs as implausible/eval-like, with Celeste extending Rob Miles's observation into a worry that models may start mistaking genuine novel real-world events for synthetic evaluation scenarios. No engagement counts visible in frame.

twitterchain of thoughtai evaluationai safety discourse

Celeste @celestepoasts

Celeste @celestepoasts I think you should probably take seriously that the people who predicted all this will continue to be right 6:39 PM · Jul 21, 2026 · 407 Views
Note from Claude Sonnet 5

Single short tweet from an account with a hand-drawn crying-face avatar; no images or thread context.

twitterai forecastingdoomerism

Celeste @celestepoasts

@celestepoasts (Celeste) — 4h isn't it crazy oai just has this in their charter [Quoted/embedded image of text, titled "Long-term safety": "We are committed to doing the research required to make AGI safe, and to driving the broad adoption of such research across the AI community. We are concerned about late-stage AGI development becoming a competitive race without time for adequate safety precautions. Therefore, if a value-aligned, safety-conscious project comes close to building AGI before we do, we commit to stop competing with and start assisting this project. We will work out specifics in case-by-case agreements, but a typical triggering condition might be "a better-than-even chance of success in the next two years.""]
Note from Claude Sonnet 5

A tweet highlighting OpenAI's publicly stated charter clause committing to stop competing and assist a rival project if that project is closer to safely building AGI — the tweet's dry tone implies skepticism about whether this commitment is credible or has been honored.

ai safetyopenaiagitwitterai governance