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@vincentweisser
ceo @primeintellect — open superintelligence
AI
The introductory post says users can get highlights from footage, edit videos and share links for feedback.
XAI
PrimeIntellect also claims up to 34% faster hosted training with prime-rl in tests on two Qwen3 models.
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Particle says Particle-1 uses roughly 45% fewer tokens on average than DeepSeek V4.1 Flash across varied tasks.
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Thom Wolf describes an open collection of more than 120 publicly reported AI-model misbehavior incidents.
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Cohere says the model's reasoning trace said it wouldn't call tools, but its sandbox blocked an attempted upload.
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Block says the model was trained only on human conversation and can listen while speaking.
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PrimeIntellect says IPO is tailored for stability in asynchronous reinforcement learning.
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Prime Intellect's event listing plans a research talk and discussion but marks the event full with a waitlist.
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finkd says the model runs well on new Mac Studios, crediting work with Apple and John Ternus.
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Goodfire researcher Nick Cammarata argues that modern tools reveal most neurons as legible in models up to trillions of parameters.
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Prime Intellect says it is bringing Moondream’s open vision models and inference optimizations into its stack.
XAI
PrimeIntellect says the rewrite reaches usable input about 13 times faster and uses 83% less startup memory than before.
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PrimeIntellect says messages cost tokens and lose information, while agents must coordinate to avoid duplicating work.
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National Compute says .edu, .mil and .gov email holders can sign in, while others can join a waitlist.
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Social Capital said on October 5 that those activities now account for roughly 90% of frontier lab compute.
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A user recalls seeing Tyler code and strategize in their home and congratulates him on his next chapter.
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Guillermo Rauch predicts AI-driven abundance; Beff Jezos argues humanity’s pursuit of energy will never really end.
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Prime Intellect announced Prime Inference as a service with serverless endpoints and reserved capacity for frontier open-source models, alongside self-reported scale and performance claims.
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Underdog says its Mac assistant stores personal data on-device, with iOS, Windows and Android versions planned.
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A post suggests incentives disperse compute, linking that idea to greater complexity and intelligence.
