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Recent media misreport — about Meta’s AI orgs and (oddly) myself — clarifications: 🧪 FAIR is Meta’s long-term research lab — not GenAI, not MSL 🔍 We do open research with public data, no access to GenAI/MSL infra 😅 I’m not bald ⏳ No complaint — just asking folks to be patient
physics of language models @ Meta (FAIR, not GenAI, not TBD) 🎓：Tsinghua Physics — MIT CSAIL — Princeton/IAS 🏅：IOI x 2 — ACM-ICPC — USACO — Codejam — math MCM
Recent media misreport — about Meta’s AI orgs and (oddly) myself — clarifications: 🧪 FAIR is Meta’s long-term research lab — not GenAI, not MSL 🔍 We do open research with public data, no access to GenAI/MSL infra 😅 I’m not bald ⏳ No complaint — just asking folks to be patient
physics of language models @ Meta (FAIR, not GenAI, not TBD) 🎓：Tsinghua Physics — MIT CSAIL — Princeton/IAS 🏅：IOI x 2 — ACM-ICPC — USACO — Codejam — math MCM
Harry and Meghan's right-hand man appears to extend an olive branch to two senior royal household staff including William's aide Jason Knauf who exposed Meghan Markle 'bullying' allegations
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The race for LLM "cognitive core" - a few billion param model that maximally sacrifices encyclopedic knowledge for capability. It lives always-on and by default on every computer as the kernel of LLM personal computing. Its features are slowly crystalizing: - Natively multimodal text/vision/audio at both input and output. - Matryoshka-style architecture allowing a dial of capability up and down at test time. - Reasoning, also with a dial. (system 2) - Aggressively tool-using. - On-device finetuning LoRA slots for test-time training, personalization and customization. - Delegates and double checks just the right parts with the oracles in the cloud if internet is available. It doesn't know that William the Conqueror's reign ended in September 9 1087, but it vaguely recognizes the name and can look up the date. It can't recite the SHA-256 of empty string as e3b0c442..., but it can calculate it quickly should you really want it. What LLM personal computing lacks in broad world knowledge and top tier problem-solving capability it will make up in super low interaction latency (especially as multimodal matures), direct / private access to data and state, offline continuity, sovereignty ("not your weights not your brain"). i.e. many of the same reasons we like, use and buy personal computers instead of having thin clients access a cloud via remote desktop or so.
Building @EurekaLabsAI. Previously Director of AI @ Tesla, founding team @ OpenAI, CS231n/PhD @ Stanford. I like to train large deep neural nets.
The race for LLM "cognitive core" - a few billion param model that maximally sacrifices encyclopedic knowledge for capability. It lives always-on and by default on every computer as the kernel of LLM personal computing. Its features are slowly crystalizing: - Natively multimodal text/vision/audio at both input and output. - Matryoshka-style architecture allowing a dial of capability up and down at test time. - Reasoning, also with a dial. (system 2) - Aggressively tool-using. - On-device finetuning LoRA slots for test-time training, personalization and customization. - Delegates and double checks just the right parts with the oracles in the cloud if internet is available. It doesn't know that William the Conqueror's reign ended in September 9 1087, but it vaguely recognizes the name and can look up the date. It can't recite the SHA-256 of empty string as e3b0c442..., but it can calculate it quickly should you really want it. What LLM personal computing lacks in broad world knowledge and top tier problem-solving capability it will make up in super low interaction latency (especially as multimodal matures), direct / private access to data and state, offline continuity, sovereignty ("not your weights not your brain"). i.e. many of the same reasons we like, use and buy personal computers instead of having thin clients access a cloud via remote desktop or so.
Do people *feel* how much work there is still to do. Like wow.
Mikayla Raines, founder of "Save a Fox Rescue" just took her own life. 2 months ago she was seen on r/SaveAfoxSnark attempting to defend herself from her detractors. Here's how the subreddit's creator responded when she showed up: It's time to address "Snark" subreddits. 🧵
Back in April of 2024, reddit user u/Pale-Explanation-709 created r/SaveAfoxSnark after rumors of a bobcat biting a volunteer surfaced.
