AI & IA

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Classés par auteurs distincts, jamais par audience.

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3 relayeurs à 3 · il y a 30 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 30 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 33 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 34 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: