AI & IA

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  • 5
    il y a 9 h
    Pushmeet Kohli @pushmeet
    Across our projects @GoogleDeepMind, we are witnessing a genuine phase transition in the pace of scientific discovery. You will see a glimpse of this in our releases in the next few weeks.
    Qui l'a repris
    E echo.hive Dr Singularity” elvis” B Benjamin De Kraker” Demis Hassabis
    Ce qu'ils en ont dit
    Dr Singularity @Dr_Singularity a cité · 08/11 18:30
    1000 scientific breakthroughs drop from Google incoming?
    elvis @omarsar0 a cité · 08/11 17:08
    Been working for this moment for over a decade. What I've witnessed behind the scenes, together with what we have been building, tells me we are about to enter a truly incredible era of AI-powered scientific discovery. It's an incredible time to be doing research. I will be
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    Benjamin De Kraker @BenjaminDEKR a cité · 08/11 15:15
    What did he mean by this 👀
  • 7
    de 5 à 7 il y a 21 h
    Anthropic @AnthropicAI
    Memory is what allows Claude to learn from experience. In a new Engineering Blog post, we share how “dreaming” helps Claude organize what it’s learned, correct its mistakes, and find what it needs more easily the next time.
    anthropic.com The components of agent memory How we think about agent memory, and how “dreaming” helps Claude correct mistakes, organize what it’s learned, and find it in future sessions.
    Qui l'a repris
    A Alvin-GenAI” AI Rahul” Somi” Teortaxes▶️ (DeepSeek 推特🐋铁粉 2023 – ∞)” elvis”
    Ce qu'ils en ont dit
    A
    Alvin-GenAI @AlvinWeb3 a cité · 08/11 06:17
    AI can also DREAM now? Anthropic inspired from how our brains organize memories during sleep to build a memory system (similar to wikis) for Claude. agents can now “dream” about past experiences: revisit its transcripts, correct mistakes, and evolve its memory wiki when not in
    Rahul @sairahul1 a cité · 07/11 03:31
    POV: you're Claude playing Pokémon. You've fallen off the same ledge three times. You write "I'm going to stop rather than keep looping." The test setup auto-replies: continue. So you keep walking, all the way back to the last town, and never make it. Most relatable thing an
    Somi @somi_ai a cité · 07/11 02:01
    Claude wrote "Mt Moon DONE" in its own Pokémon notes. It wasn't done. One wrong note, and it fell off the same ledge three times. Anthropic's "dreaming" pass checked the note against the old transcript and fixed it. That run reached Cerulean City. I'll take memory that checks
    Teortaxes▶️ (DeepSeek 推特🐋铁粉 2023 – ∞) @teortaxesTex a cité · 07/11 00:54
    Anthropic proposes an answer to Wenfeng's question about continual learning: …have a smarter model write more .md files. It's impressive how far this goes, but I still believe that it's a crutch with a ceiling set by the pretrain's ability, just like RLMs are a context crutch.
    elvis @omarsar0 a cité · 06/11 23:49
    Highly recommended read. Learn how one of the most advanced agent memory systems works. Your memory system is one of the biggest levers you have in the harness. I also don't think a one-size-fits-all memory system exists today. Memory is something you constantly have to
  • 7
    de 5 à 7 il y a 22 h
    Richard Sutton @RichardSSutton
    Brute force computation is not enough for intelligence. Clever new methods are needed. The science of AI is far from finished. IMHO
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    Tommy” elvis” ℏεsam” Gary Marcus” cocktail peanut” Srini Pagidyala”
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    Tommy @Shaughnessy119 a cité · 08/11 16:18
    I’ve been actively on the hunt for non LLM based AI models and I’ve invested into one already Looking for totally new designs
    elvis @omarsar0 a cité · 08/11 01:26
    1000% agree with Sutton here. Having worked in AI for over a decade (pre-LLMs), it's clear we need smarter methods for intelligence to truly compound in the way some of us envision it. To me, Transformers just scratched the surface. This arc is coming to an end; a new
    ℏεsam @Hesamation a cité · 07/11 23:55
    > “what happened to the bitter lesson?” people are genuinely trying to explain the bitter lesson to the guy who wrote it. it’s called the bitter lesson not the dumb lesson. the bitter lesson says general methods that scale with compute win in the long run. you still have to
    Gary Marcus @GaryMarcus a cité · 07/11 23:32
    what i have been saying for years maybe now people will listen?
    cocktail peanut @cocktailpeanut a cité · 07/11 21:29
    Srini Pagidyala @Srini_Pa a cité · 07/11 21:16
    Human like learning does it. Implies understanding, concept formation, metacognition, self-directed, goal-oriented, persistent memory, contextual awareness, belief revision, dynamic world models are all part of it. That is Integrated Neuro Symbolic Architecture- INSA.
  • 5
    il y a 29 h
    Claude @claudeai
    Introducing Personal Finance in Claude, in beta in the US. Connect the accounts you choose, and Claude answers your money questions in everyday language, from your own balances and transactions. Access is read-only, and Claude can't move, manage, or invest your money.
    Qui l'a repris
    Somi” Min Choi” Kanika” Tom's KI Ecke Rahul”
    Ce qu'ils en ont dit
    Somi @somi_ai a cité · 07/11 23:33
    Read-only is the best call in this launch. Claude sees every balance and every transaction, and it can't move a single dollar. That's the version I'd actually connect my bank to. One that pays the bills on its own? Not for a long time.
    Min Choi @minchoi a cité · 06/11 17:29
    Anthropic just turned Claude into your personal finance assistant. Connect your bank + cards. Find hidden charges. See what's left before payday. Know where your money goes. Read-only. It can't move or invest a dime. Beta, US only
    Kanika @KanikaBK a cité · 06/11 16:49
    Everyone's asking what's going on at Anthropic. And honestly.. a lot happened in about 24 hours. Let me walk you through it. First, Claude launched Personal Finance. You connect your bank accounts, and Claude answers money questions from your real balances and transactions.
    Rahul @sairahul1 a cité · 05/11 19:12
    claude can see your bank account now. here's claude's.
  • 5
    il y a 43 h
    Thomas Wolf @Thom_Wolf
    18 of the 20 best open models today are Mixture-of-Experts. Dense is basically over. And yet the know-how to train a good MoE still lives mostly in the heads of a handful of teams. So we spent 800k GPU hours running the experiments ourselves and wrote everything down. Super
    Qui l'a repris
    Dominique Fleury Machine Learning FLX Hugging Face clem 🤗 LAION
  • 5
    il y a 2 j
    S
    Suhail @Suhail
    1/ Excited to announce our new company Particle This is our first step in a series of models focused on developers. With particle-1, we focused on token efficiency and managed to keep parity in performance while using ~45% fewer tokens. Live now:
    particle.ai Particle — AI Inference for developers Particle is building a new AI inference layer for open weight models—fast, low-cost, and reliable. Use our API to power your apps with frontier AI.
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    Flo Crivello” Peter Xing Teortaxes▶️ (DeepSeek 推特🐋铁粉 2023 – ∞)” Linus ✦ Ekenstam 🔜 Adobe MAX Miami 2026” Robert Scoble
    Ce qu'ils en ont dit
    Flo Crivello @Altimor a cité · 06/11 20:23
    Just ran our evals on Particle-1 — came out 60% cheaper than DeepSeek 4.1 Flash for the exact same performance. Still evaluating but most likely switching to it as our default model. Congrats @Suhail on a great model!
    Teortaxes▶️ (DeepSeek 推特🐋铁粉 2023 – ∞) @teortaxesTex a cité · 28/10 21:25
    > We stand on the shoulders of giants and the model is based on DeepSeek V4.1 Flash 1017. It's literally 11 days old. Wtf? Did you just length-penalize + self-distill it? …huh. They took 1017 and seem to be comparing it to 0910. Props to Suhail for at least saying this.
    Linus ✦ Ekenstam 🔜 Adobe MAX Miami 2026 @LinusEkenstam a cité · 28/10 20:09
    Today is full of releases of insane optimism and optimization. Suhail has the track record to build fantastic products. I believe 2027 will be the year we keep twisting our heads basically daily. we’re just getting warmed up.
  • 6
    il y a 3 j
    Thinking Machines @thinkymachines
    Introducing Inkling 2 Small. Scoring 31 on the AA Intelligence Index, it's a big jump over its predecessor. Inkling 2 Small is available for fine-tuning and inference on Tinker today, with full weight release planned soon.
    Thinking Machines Lab Introducing Inkling 2 Small Today we are introducing the second generation of Inkling models with the release of Inkling 2 Small.
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    Rahul” John Schulman” D Druv Pai” clem 🤗 Teortaxes▶️ (DeepSeek 推特🐋铁粉 2023 – ∞)” Mira Murati”
    Ce qu'ils en ont dit
    Rahul @sairahul1 a cité · 06/11 12:26
    Absolutely wild detail in the Inkling 2 Small post: Midway through training, the model was failing a task. So it got around a network block using a third-party service it reached through its search tools. Thinking Machines paused the run to lock things down. Earlier
    John Schulman @johnschulman2 a cité · 06/11 03:19
    Proud to release our new model, Inkling 2 Small. Check out our blog post -- it includes a lot of detail about our training process. To me, the most interesting part of this release was what we learned about alignment, which you can read about in the sections "Safety and
    D
    Druv Pai @druv_pai a cité · 06/11 02:27
    Our new model! Great job by the team!
    Teortaxes▶️ (DeepSeek 推特🐋铁粉 2023 – ∞) @teortaxesTex a cité · 06/11 01:02
    OK pretty cool, a respectable "Flash" model obviously crushes Muse Spark Even has some "RSI" capabilities Congrats Thinky!
    Mira Murati @miramurati a cité · 06/11 00:45
    Inkling 2 Small is available today on Tinker, with weights coming soon. It's a capable small model. We look forward to seeing what you make with it.