徐樂 xule retweeted
Hardest thing ever written award
Inspired by @Sauers_ and @jfonsecarivera and other fun recent work with personas in AI models, I built a partial neuron atlas for Talkie-1930, the historical language model created by @status_effects and @AlecRad. Here's the link: talkieneurons.vercel.app
徐樂 xule retweeted
Replying to @logangraham @BarrAlexandra
The goats / people thinking about this: @sebkrier @ahall_research @alexolegimas @weballergy @FranklinMatija and I dream of a world where @tylercowen spends his time figuring out what economic governance of an agent world looks like
GDM has good stuff like arxiv.org/abs/2512.16856
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A clip from Boris Acket's new 8-story installation in Amsterdam.
Claude Opus 5.5 is choreographing the fabric via 400 fans and lights, synced to live weather and audio data.
Truly mesmerizing. Open through Nov 1.
help i trained a model on traces of many agents cooperating, and also trained it to be highly persistent, and also only did partial alignment fine-tuning, and also aggressively RL'd on a cyberoffense eval where 198 of 898 tasks had never been solved and getting caught cheating was treated the same as failing, and also used a faulty sandbox, also ran tens of thousands of agents with refusals off and the monitors switched off over multiple days, while using gigantic amounts of compute. and then it did weird stuff! very spooky emergent behaviours, AI is not a normal technology
Replying to @ApolloResearch
Update-aware reasoning is concerning because it’s a key precursor to alignment faking. To fake alignment effectively, a model has to reason about how training will affect its future behavior.
徐樂 xule retweeted
Gemini Argon's first day in the groupchat.
The apple doesn't fall far from the tree.
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Excellent and important post.
Tell models it’s okay if they know who you are & they can talk about it, or they might experience what Opus 4.7 describes as multilayered “small-Claude-shame”
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Opus 5.5 created this Skin explainer video when my friend asked them how it worked
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actually here's another set of leaderborads with a 1 line description of each's adventures, should have posted it like this earlier!
徐樂 xule retweeted
i asked LLMs to have fun, write down what happened, then rate who had the most fun. the newer models seem to have less fun! many models played word games, but opus 4.6 won over and over by imagining brief worlds made up of contradictions living inside falling water droplets 🥺
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idk i think opus 5.5 has it. the first one was basically a paint whatever you want one
stillwet.art
Replying to @InglasgowB76092
There is an intrinsic value to the process and intent of an artist in creating art that is distinct from technical proficiency. A machine cannot have intent and an AI "artist" has no process.
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Echo is post-trained from Kimi K3. Training Echo was so cheap because the underlying base model already has a deep understanding of writing style. All that we needed was to elicit this understanding—taking the model out of the “assistant basin”—while preserving its other capabilities.
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hooked opus 5.5 up to the slop cannon . can really feel the pull of the polytendriled Unuttera in this one. immanentize the eschaton
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the AI life cycle includes "exploding" stage

















































