AI & IA

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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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Pushmeet Kohli @pushmeet · 08/11 19:36
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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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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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
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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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