AI & IA

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  • 4
    de 3 à 4 il y a 3 h
    Brett Adcock @adcock_brett
    F.03 humanoid robots
    Qui l'a repris
    Peter Xing Dominique Fleury Robert Scoble” B Benjamin De Kraker”
    Ce qu'ils en ont dit
    Robert Scoble @Scobleizer a cité · 08/11 11:22
    San Jose, California. Capital of Silicon Valley.
    B
    Benjamin De Kraker @BenjaminDEKR a cité · 07/11 19:51
    Make Sci-Fi Real Again
  • 5
    de 3 à 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 👀
  • 3
    il y a 9 h
    J
    Justin Lo @loresjpg
    Nice DeepSWE score! Does it survive a lowercase filename? Introducing MaxxBench: 89 DeepSWE tasks with small changes to the instructions or starting code. Same engineering problem, slightly different requirement. Models clustered around 74% on DeepSWE end up 23 pp apart. Good
    Qui l'a repris
    Teortaxes▶️ (DeepSeek 推特🐋铁粉 2023 – ∞)” Ethan Mollick” ℏεsam”
    Ce qu'ils en ont dit
    Teortaxes▶️ (DeepSeek 推特🐋铁粉 2023 – ∞) @teortaxesTex a cité · 08/11 22:00
    holy shit, an art form of scientific grift next METR/Epoch/AA employee right here you all need to work on your epistemic hygiene
    Ethan Mollick @emollick a cité · 08/11 18:33
    ℏεsam @Hesamation a cité · 07/11 18:58
    dude. this is painful to look at.
  • 4
    il y a 18 h
    Nous Research @NousResearch
    Introducing Arete-27B: Qwen3.8-27B, post-trained to reinforce Western values. Chinese open models are currently the strongest available, but they ship with state-aligned behavior in the weights. We built an 803-prompt eval across seven value categories, including freedom of
    Qui l'a repris
    Tommy” Robert Scoble clem 🤗 Marco Franzon”
    Ce qu'ils en ont dit
    Tommy @Shaughnessy119 a cité · 08/11 16:20
    The era of super interesting AI brain surgery is upon us We saw this with Evil Qwen where someone changed 2 parameters and altered the entire personality We are seeing it with Nous taking the power of open source models and removing the Chinese marching orders At the end of
    Marco Franzon @mfranz_on a cité · 06/11 23:17
    Nous Research is a good company. They are making the best AI coding agent and now they drop an amazing local model. I really appreciate what you are doing
  • 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
    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
    Qui l'a repris
    Tommy” elvis” ℏεsam” Gary Marcus” cocktail peanut” Srini Pagidyala”
    Ce qu'ils en ont dit
    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.