AI & IA

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Les liens 4

Classés par auteurs distincts, jamais par audience.

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3 relayeurs à 3 · il y a 28 h thume.ca
Qui l'a relayé
MONTREAL.AI @Montreal_AI · 07/11 19:46 ⚜️✨ https://t.co/LziAg5YHcG | Montréal Artificial Intelligence : Sovereign AI, AI‑First Enterprise, Autonomous Agents & Governance ( Français: @Montreal_IA ) #MontrealAI
Earlier this week Tristan published his top YouTube channels: Which looked excellent so clearly I had to turn it into TristanTube: 47K super nerdy videos +TV mode for laid back watching. (One-shotted with Claude Code in 3 minutes)
Andrej Karpathy @karpathy · 07/11 18:07 deep learning
Earlier this week Tristan published his top YouTube channels: Which looked excellent so clearly I had to turn it into TristanTube: 47K super nerdy videos +TV mode for laid back watching. (One-shotted with Claude Code in 3 minutes)
Dominique Fleury @D4ive · 07/11 23:05
Earlier this week Tristan published his top YouTube channels: Which looked excellent so clearly I had to turn it into TristanTube: 47K super nerdy videos +TV mode for laid back watching. (One-shotted with Claude Code in 3 minutes)
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3 relayeurs à 3 · il y a 28 h karpathy.ai reprise probable
Qui l'a relayé
MONTREAL.AI @Montreal_AI · 07/11 19:46 ⚜️✨ https://t.co/LziAg5YHcG | Montréal Artificial Intelligence : Sovereign AI, AI‑First Enterprise, Autonomous Agents & Governance ( Français: @Montreal_IA ) #MontrealAI
Earlier this week Tristan published his top YouTube channels: Which looked excellent so clearly I had to turn it into TristanTube: 47K super nerdy videos +TV mode for laid back watching. (One-shotted with Claude Code in 3 minutes)
Andrej Karpathy @karpathy · 07/11 18:07 deep learning
Earlier this week Tristan published his top YouTube channels: Which looked excellent so clearly I had to turn it into TristanTube: 47K super nerdy videos +TV mode for laid back watching. (One-shotted with Claude Code in 3 minutes)
Dominique Fleury @D4ive · 07/11 23:05
Earlier this week Tristan published his top YouTube channels: Which looked excellent so clearly I had to turn it into TristanTube: 47K super nerdy videos +TV mode for laid back watching. (One-shotted with Claude Code in 3 minutes)
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A proof of the Aaronson-Ambainis conjecture

A proof of the Aaronson-Ambainis conjecture about quantum speedups on random inputs, with a complete formalization in Lean.

2 relayeurs à 2 · il y a 31 h PSI
Qui l'a relayé
Machine Learning FLX @machinelearnflx · 07/11 20:21 AI engineering, distilled. Agents, LLM systems, MLOps & infra architectures, papers, and tools worth your time.
Today Physical Superintelligence PBC is announcing a proof of the Aaronson-Ambainis conjecture, one of the central open problems in quantum complexity, with major implications for quantum computing speedup. Thread 👇
Peter Xing @peterxing · 07/11 16:52 si/acc @microsoft w/ @azure & @github +@openai @anthropicai @spacexsi @meta. c/f @transhumanau @transhumancoin. h+ @singularityu. fsd @tesla. ex @kpmg @deloitte
Today Physical Superintelligence PBC is announcing a proof of the Aaronson-Ambainis conjecture, one of the central open problems in quantum complexity, with major implications for quantum computing speedup. Thread 👇
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How scientists use Claude

We analyzed 207,000 research sessions to learn how Claude is used in science, why some tasks get more use than others, and how AI could speed up discovery.

2 relayeurs à 2 · il y a 32 h anthropic.com
Qui l'a relayé
MONTREAL.AI @Montreal_AI · 07/11 18:02 ⚜️✨ https://t.co/LziAg5YHcG | Montréal Artificial Intelligence : Sovereign AI, AI‑First Enterprise, Autonomous Agents & Governance ( Français: @Montreal_IA ) #MontrealAI
Some new data from Anthropic looking at the impact of AI on the sciences by field: "With current capabilities, if adopted widely, AI could take on 27–52% of the researcher time needed to produce a new study, with a median of 38% across fields..." Here:
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echo.hive @hive_echo · 07/11 05:25 self & singularity & markets & mind 🟣 Maximize: https://t.co/mJ1WNqBPTH 🔴Consulting: https://t.co/7SFrM41uPS
Some new data from Anthropic looking at the impact of AI on the sciences by field: "With current capabilities, if adopted widely, AI could take on 27–52% of the researcher time needed to produce a new study, with a median of 38% across fields..." Here:

Les tweets 12

Axe indépendant : repris sans regarder les liens.

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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.
5 relayeurs à 5 · il y a 8 h Voir sur X
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 👀
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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
2 relayeurs à 2 · il y a 2 h Voir sur X
Qui l'a repris
Bing Xu” Robert Scoble
Ce qu'ils en ont dit
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
2 relayeurs à 2 · il y a 6 h Voir sur X
Qui l'a repris
P Pete ✈️ CoRL” Robert Scoble
Ce qu'ils en ont dit
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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
3 relayeurs à 3 · il y a 8 h Voir sur X
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.
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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
2 relayeurs à 2 · il y a 6 h Voir sur X
Qui l'a repris
ℏεsam DAIR.AI
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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
2 relayeurs à 2 · il y a 6 h Voir sur X
Qui l'a repris
Machine Learning FLX Robert Scoble
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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
2 relayeurs à 2 · il y a 6 h Voir sur X
Qui l'a repris
Peter Xing Robert Scoble”
Ce qu'ils en ont dit
Robert Scoble @Scobleizer a cité · 08/11 10:44
“Ban RSI” one politician just said. China:
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Richard Sutton @RichardSSutton · 08/11 16:18
Brute force computation is not enough for intelligence. Clever new methods are needed. The science of AI is far from finished. IMHO
7 relayeurs à 7 · il y a 22 h Voir sur X
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.
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Nous Research @NousResearch · 08/11 16:20
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
2 relayeurs à 4 · il y a 17 h Voir sur X
Qui l'a repris
Tommy” Robert Scoble
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