GPT Researcher MCP GPT Researcher now leverages LangChain's Model Context Protocol adapters for intelligent tool selection and research. Seamlessly combines MCP with web search capabilities for comprehensive data gathering. Check out the integration docs!
OPEN SOURCE
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Magistral: New Research Paper and Free Chat Access Released
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Paper (still WIP): https://
mistral.ai/static/researc
h/magistral.pdf
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Try Magistral for free on le Chat: https://
chat.mistral.ai/chat
Blogpost: https://
mistral.ai/news/magistral
HuggingFace: -
Magistral: First Reasoning Model Release with Weights and Research Paper
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Very excited to release our first reasoning model, Magistral. We released the weights of Magistral Small alongside a paper that presents our approach, online RL infrastructure, and findings. https://t.co/8hlqalBHjG pic.twitter.com/tNHxU5d1WI
— Guillaume Lample @ NeurIPS 2024 (@GuillaumeLample) 10 juin 2025Very excited to release our first reasoning model, Magistral. We released the weights of Magistral Small alongside a paper that presents our approach, online RL infrastructure, and findings.
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Agents Hack next Sunday: 10k€ prizes with Hugging Face, AnthropicAI, Accel
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Reminder: our Agents Hack is next Sunday ! It's shaping up to be the biggest ever hackathon on Agents in Paris, with over 10k€ in prizes, including large cash prizes for the top 3 teams. And now, @huggingface and @AnthropicAI are joined by @Accel : this will bring a bit of
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Mistral Launches Magistral Small and Medium LLM Variants
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Magistral is available in two variants: Magistral Small (24B parameter open-source version) and Magistral Medium (enterprise version). Download Magistral Small from: https://
huggingface.co/mistralai/Magi
stral-Small-2506
…. Try out Magistral Medium in https://
chat.mistral.ai or via API on -
Cartridges: Lightweight Long Context Representations via Self-Study
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Cartridges: Lightweight and general-purpose long context representations via self-study
Paper: https://
arxiv.org/pdf/2506.06266
.pdf
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Code: https://
github.com/HazyResearch/c
artridges
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And also a wonderful blog: https://
hazyresearch.stanford.edu/blog/2025-06-0
8-cartridges
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Will We Ever Understand LLMs?
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AI is becoming a co-pilot for everything but we still don’t know why it works. Do you think we’ll ever fully understand LLMs? Or will we just learn to live with the black box? Drop your take below. I’m reading all the replies.
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Skywork AI Releases SkyReels-V2 Open-Source Infinite Video Model
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Skywork AI released SkyReels-V2, an open-source infinite-duration AI video model
— Rowan Cheung (@rowancheung) 10 juin 2025
It lets you make cinematic videos of any length for free — straight from your browser
Model weights and inference code now on GitHubpic.twitter.com/cjrTAAjXTvSkywork AI released SkyReels-V2, an open-source infinite-duration AI video model It lets you make cinematic videos of any length for free — straight from your browser Model weights and inference code now on GitHub
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Has China Crossed an AI Red Line?
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La Chine vient peut-être de franchir une ligne rouge en IA. DeepSeek, modèle open source, dépasse Gemini 2.5 Pro sur plusieurs benchmarks.
— VISION IA (@vision_ia) 9 juin 2025
Déclaration de guerre technologique.
Je vous montre ce que ça change — et comment le tester dès aujourd’hui.
Extrait de ma vidéo sur le… pic.twitter.com/Jjk7itb8gFChina may have just crossed an AI red line. DeepSeek, an open-source model, outperforms Gemini 2.5 Pro on multiple benchmarks. A technological declaration of war. I’ll show you what this changes—and how to test it today. Excerpt from my video on the topic.
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Fast AI Models: Optimus Alpha and Grok 3 Beat R1
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BTW on the next page, there's some interesting fast-yet-decent models, including the mysterious Optimus Alpha (is this the upcoming OpenAI open source model?) and Grok 3 Beta, which are both super fast! (~40x faster than R1!) (GPT 4.5 tldr: slow, very expensive, & wrong.)