AI & IA

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Les tweets 12

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Pushmeet Kohli @pushmeet · 05:08
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.
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Ethan Mollick @emollick a cité · 05:08
It isn't that weird to think that "this time is different" - we had a couple of Industrial Revolutions over the past couple centuries, just because we got used to a relatively steady-state regime post World War Two with a regular pace of growth doesn't mean it continues forever.
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 👀
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Ramez Naam @ramez · 04:11
Anthropic is gaining exponentially less capability per billion dollars spent over time. It's now 8x as expensive to boost AI capabilities as it was 2 years ago, getting worse on a log scale. This includes METR report & internal models. Credit to @alexolegimas, @sebkrier, and
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Gary Marcus @GaryMarcus a cité · 03:50
You might say “deep learning is hitting a wall”. This is a really profound result: although GenAi companies are still eking out improvements, those improvements are coming at ever greater costs, in a way that is unlikely to be fiscally sustainable.
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Séb Krier @sebkrier · 04:04
Updated version!
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Gary Marcus @GaryMarcus a cité · 04:04
it’s all over. the finances will never work. absolute vindication for me, of course.
Teortaxes▶️ (DeepSeek 推特🐋铁粉 2023 – ∞) @teortaxesTex a cité · 08/11 00:46
That's actually incredible Vastly better than LLM scaling laws
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Greg Brockman @gdb · 01:55
frontier models, with lots of test time compute, are becoming the engine of scientific discovery
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Gary Marcus @GaryMarcus a cité · 01:55
science ≠ math
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Shaun Maguire @shaunmmaguire · 01:17
1) Jensen is one of the greatest entrepreneurs of this generation 2) he did something incredibly dumb 3) it was bad for America 4) but my guess is there was no bad intention 5) two mistakes don’t make a right, and I believe Jensen is irreplaceable for America’s AI leadership
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Bing Xu @bingxu_ a cité · 01:17
+1 Jensen is the irreplaceable leader of 🇺🇸 AI. I'm proud of having worked directly or indirectly with him for the past 15 years. He's a true patriot who made a dumb mistake every man may make. We should continue to trust him.
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Sam Padilla ✈️ CoRL 2026 @theSamPadilla · 08/11 21:38
As more companies move into robotics and interest is at an all-time high, it’s a good time to reflect on where the data industry stands ahead of 2027. TL;DR: Mono is dead; almost nobody has stereo off the shelf, and tactile is the new frontier.
X (formerly Twitter) X - The Everything App
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Pete ✈️ CoRL @nonmayorpete a cité · 08/11 21:38
Please DM me for insane amounts of off-the-shelf stereo
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Justin Lo @loresjpg · 08/11 22:00
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
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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.
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elvis @omarsar0 · 08/11 21:07
Impressive way to reuse agent trajectories to evolve agent harnesses. Given how good LLM agents are getting at context awareness, this is worth a look. This idea isn't new, but it's becoming an important pattern in harness engineering: enabling the agent harness to reuse
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Tactico @tacticoai · 08/11 21:07
Introducing the neutral AI Agent Memory Meet Momentum. Finally, Agents that remember across providers. Shared memory access across Claude, Codex, Grok & 30+ harnesses. Switch without having to start over. You shouldn't have to re-explain every time you switch. It's high time
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Superman @thesupermannx · 08/11 20:57
China cracked recursive self-improvement 🤯 Tencent dropped 27B model that rewrites, retrains, and refines itself.. with zero human in the loop. It’s called "Terminal-RSI" and it solves one of the biggest problems with AI. They are incredibly lazy. Usually, an agent will make
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Robert Scoble @Scobleizer a cité · 08/11 10:44
“Ban RSI” one politician just said. China: