Ilya Sutskever@ilyasut · 创始人 · 14 天前Ilya Sutskever，OpenAI 前首席科学家，SSI 创始人

引用 SSI Inc. @ssiWe are announcing a long-term strategic partnership with NVIDIA. NVIDIA is making a substantial investment in SSI that will let us 10x our compute in the next 12 months. We reached the point where our research is worth scaling and with this partnership we will be able to. We are honored by NVIDIA’s conviction.查看被引原帖 ↗

ollama@ollama · 公司官方 · 13 天前本地跑大模型的热门工具

引用 Kimi.ai @Kimi_MoonshotReleasing the model weights and technical report of Kimi K3. Kimi K3 is our most capable model: a 2.8T MoE model with native visual understanding and a 1M-token context window. New model architecture: 2.5x the intelligence per unit of compute, not just more params. Alongside Kimi K3, we're opening up more of the stack behind it — high-performance attention kernels, MoE communication library, and infrastructure for running agent environments at scale. Model weights: huggingface.co/moonshotai/Ki… Tech report: github.com/MoonshotAI/Kimi-K… Tech blog: kimi.com/blog/kimi-k3查看被引原帖 ↗

hardmaru@hardmaru · 创始人 · 14 天前David Ha，日本 AI 公司 Sakana AI 联合创始人

引用 Sakana AI @SakanaAILabs創業以来、オープンソースコミュニティから多くを学び、また研究成果の公開を通じてそこに貢献してきました。オープンなエコシステムが健全なAI産業と技術主権を支える重要な基盤の一つであると考えており、その発展を支持します。 このたび、Sakana AIは、オープンウェイトAIモデルに関する公開書簡 「Open Weights and American AI Leadership」に署名しました。 書簡は、オープンウェイトモデルがAIへのアクセス拡大、競争の促進、ユーザーによるコントロール、そして安全性の向上に寄与することを訴えるものです。 PDF： aka.ms/OpenLetter 全文： microsoft.com/en-us/corporat… 🐟查看被引原帖 ↗

Sebastian Raschka@rasbt · 博主 · 14 天前

引用 Hugo Bowne-Anderson @hugobowneNext week I’m sitting down with @rasbt , independent AI researcher, author of Build a Large Language Model (From Scratch) and Build a Reasoning Model (From Scratch), and creator of Ahead of AI, which just crossed 200,000 subscribers. Since we last spoke, Sebastian and I have been messaging about the insanity of DeepSeek-V4, then GLM-5.2, and now Kimi K3. Qwen3.8 is about to land as well. I’m excited to ask him: • What are these new models actually doing differently? • What do stronger open-weight models mean for local coding agents? • Which parts of our agent systems will survive the next model release? • What did he learn by starting with a small Qwen3 model and adding evaluation, inference-time scaling, reinforcement learning, and distillation himself? What do you want me to ask Sebastian? Reply with your questions and I’ll ask my favourites live. @ManningBooks is giving away five ebook copies of Sebastian’s new book to the people who ask the best questions. They’re also providing a 45% discount for the audience. We’re live July 28. Registration link below.查看被引原帖 ↗

九原客@9hills · 中文博主 · 14 天前

引用 Peter Gostev @petergostevOk we are back to vertical line charts查看被引原帖 ↗