AI & IA

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3 relayeurs à 3 · il y a 29 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 29 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)
3

https://z.ai/

Meet Z.ai, the AI assistant powered by GLM-5.3-Flash. Build websites, write code, handle long-horizon tasks, and get instant answers. Fast, smart, and reliable.

3 relayeurs à 7 · il y a 3 j z.ai
Qui l'a relayé
Machine Learning FLX @machinelearnflx · 05/11 22:18 AI engineering, distilled. Agents, LLM systems, MLOps & infra architectures, papers, and tools worth your time.
chief scientist Jie Tang just revealed the training pipeline behind the upcoming GLM-5.5 (32B, 122B, and 256B) during a lecture at Tsinghua University today. Instead of relying on public datasets, their pretraining pipeline pulls from six separate
Peter Xing @peterxing · 06/11 12:46 si/acc @microsoft w/ @azure & @github +@openai @anthropicai @spacexsi @meta. c/f @transhumanau @transhumancoin. h+ @singularityu. fsd @tesla. ex @kpmg @deloitte
chief scientist Jie Tang just revealed the training pipeline behind the upcoming GLM-5.5 (32B, 122B, and 256B) during a lecture at Tsinghua University today. Instead of relying on public datasets, their pretraining pipeline pulls from six separate
ℏεsam @Hesamation · 06/11 00:50 building ai agents or stuff with agents CrusaderBench: https://t.co/Ib0DkhWkEm
chief scientist Jie Tang just revealed the training pipeline behind the upcoming GLM-5.5 (32B, 122B, and 256B) during a lecture at Tsinghua University today. Instead of relying on public datasets, their pretraining pipeline pulls from six separate
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moonshotai/Kimi-K3.1-Pro · Hugging Face

Image-Text-to-Text model with 2.8T parameters. Download, explore files and run it on Hugging Face.

3 relayeurs à 3 · il y a 3 j huggingface.co
Qui l'a relayé
clem 🤗 @ClementDelangue · 04/11 18:02 Co-founder & CEO @HuggingFace 🤗, the open and collaborative platform for AI builders
Releasing the model weights of Kimi K3.1 Pro: We'll keep advancing open intelligence.
AK @_akhaliq · 04/11 18:04 AI research paper tweets, ML @Gradio (acq. by @HuggingFace 🤗) dm for promo ,submit papers here: https://t.co/UzmYN5XOCi
Kimi-K3.1-Pro just dropped on Hugging Face!! 🌝🚨
Machine Learning FLX @machinelearnflx · 05/11 22:19 AI engineering, distilled. Agents, LLM systems, MLOps & infra architectures, papers, and tools worth your time.
Kimi-K3.1-Pro is now open-weights
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Qwen 3.8 27B on my laptop can interpret model weights, too

Yesterday’s hot paper was Sparks of Weight-Space Programming: LLMs can natively read & write neural network weights by Rikiya Takehi, Jayden Teoh, Alex Zhang, and Omar Khattab. The paper found …

3 relayeurs à 3 · il y a 4 j Simon Willison’s Weblog
Qui l'a relayé
MONTREAL.AI @Montreal_AI · 03/11 19:50 ⚜️✨ https://t.co/LziAg5YHcG | Montréal Artificial Intelligence : Sovereign AI, AI‑First Enterprise, Autonomous Agents & Governance ( Français: @Montreal_IA ) #MontrealAI
There's a buzzy new paper about GPT-6 Astra being able to directly interpret model weights (prompts full of floating point numbers) - I tried it with Qwen 3.8 27B on my laptop and found that, after 45+ minutes, that model could achieve the same thing
AI @DeepLearn007 · 04/11 15:48 Imtiaz Adam CS #AI Postgrad |#Strategy #MachineLearning RSI Evolutionary Neurosymbolic |#RL #Agentic | #LLM Liberal | MBA alum @morganstanley @LBS @Columbia_Biz
There's a buzzy new paper about GPT-6 Astra being able to directly interpret model weights (prompts full of floating point numbers) - I tried it with Qwen 3.8 27B on my laptop and found that, after 45+ minutes, that model could achieve the same thing
Simon Willison @simonw · 03/11 17:31 Creator @datasetteproj, co-creator Django. PSF board. Hangs out with @natbat. He/Him. Mastodon: https://t.co/t0MrmnJW0K Bsky: https://t.co/OnWIyhX4CH
There's a buzzy new paper about GPT-6 Astra being able to directly interpret model weights (prompts full of floating point numbers) - I tried it with Qwen 3.8 27B on my laptop and found that, after 45+ minutes, that model could achieve the same thing
6

Weight-Space-Programmed Qwen3.5-0.8B - a Hugging Face Space by ML-Intern-lab

This app lets you type a math problem and (optionally) set a token limit. It then runs both the original Qwen3.5‑0.8B model and its weight‑edited version, showing the two generated answers side‑by‑...

3 relayeurs à 3 · il y a 5 j huggingface.co reprise probable
Qui l'a relayé
AK @_akhaliq · 03/11 05:40 AI research paper tweets, ML @Gradio (acq. by @HuggingFace 🤗) dm for promo ,submit papers here: https://t.co/UzmYN5XOCi
@a1zhang @lateinteraction @jayden_teoh_ The edited model is now on the Hub: Huge thanks to @akhaliq, who rebuilt it from our published logs, re-ran MATH-500 (51.0%). They also seems to have a live demo:
Hugging Face @huggingface · 04/11 09:21 The AI community building the future. https://t.co/TpiXQMQ9rZ
We @huggingface reproduced this paper!! It's built with ML Intern, an open-source harness to do AI research, train models, and more Model: Demo:
ℏεsam @Hesamation · 03/11 16:23 building ai agents or stuff with agents CrusaderBench: https://t.co/Ib0DkhWkEm
We @huggingface reproduced this paper!! It's built with ML Intern, an open-source harness to do AI research, train models, and more Model: Demo:
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ML-Intern-lab/Qwen3.5-0.8B-weight-space-programming · Hugging Face

Image-Text-to-Text model with 0.9B parameters. Download, explore files and run it on Hugging Face.

3 relayeurs à 3 · il y a 5 j huggingface.co
Qui l'a relayé
Hugging Face @huggingface · 04/11 09:21 The AI community building the future. https://t.co/TpiXQMQ9rZ
We @huggingface reproduced this paper!! It's built with ML Intern, an open-source harness to do AI research, train models, and more Model: Demo:
AK @_akhaliq · 03/11 18:10 AI research paper tweets, ML @Gradio (acq. by @HuggingFace 🤗) dm for promo ,submit papers here: https://t.co/UzmYN5XOCi
We @huggingface reproduced this paper!! It's built with ML Intern, an open-source harness to do AI research, train models, and more Model: Demo:
ℏεsam @Hesamation · 03/11 16:23 building ai agents or stuff with agents CrusaderBench: https://t.co/Ib0DkhWkEm
We @huggingface reproduced this paper!! It's built with ML Intern, an open-source harness to do AI research, train models, and more Model: Demo: