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We have information that Moonshot AI distilled Anthropic’s Fable for the development of its K3 model. To do this they developed a sophisticated internal platform to conduct large
→ View original sourceFacebook has released Astryx, an open-source design system that is fully customizable and built to be agent-ready. Developed in TypeScript, Astryx aims to provide developers with a flexible and extensible foundation for …
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My 2016 desktop — 16 GB RAM, SATA SSD — ran GLM-4.5-Air, a 110B-parameter model, streamed from disk. One equation predicted the speed before I pressed enter: 0.2-0.3 tok/s. It measured 0.19. That eq
→ View original source![[Project] Velocity - Native local AI stack built from scratch (no llama.cpp, Ollama, or Python) - 58.6 tok/s @ 3.5k context on a 6GB Laptop GPU](https://preview.redd.it/ryu1x19llreh1.png?width=640&crop=smart&auto=webp&s=8adbc48b902ae061da4a5da6e845d9d507f36131)
Velocity is a native, self-contained AI runtime built from scratch for Windows, avoiding dependencies like llama.cpp, PyTorch, or Python. It utilizes custom .mfy artifacts and MTA architecture to address memory bandwidth…
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Poolside has released Laguna S 2.1, an open-weight agentic coding model utilizing a Mixture-of-Experts (MoE) architecture. The 118B-parameter model activates approximately 8B parameters per token, achieving 78.5% on SWE-…
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The team developed an AI agent capable of self‑argumentation and entered it into the inaugural UiPath AgentHack 2026. The seven‑week hackathon highlighted a reimbursement system that
→ View original sourceJCodesMore introduced an AI website cloner template that enables cloning any site with a single command using AI coding agents. Implemented in TypeScript and published on GitHub, the tool simplifies website replication. …
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A model that costs $7.50 per million output tokens just posted the highest computer-use score in the industry. Not the highest cheap score…Continue reading on Towards AI »
→ View original sourceA federal judge has approved a $1.5 billion settlement reached by Anthropic following allegations that copyrighted books were used without permission to train its Claude language model. The decision addresses claims that…
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Reinforcement learning with verifiable rewards (RLVR) is rapidly advancing the reasoning capabilities of language models, yet the optimization layer that converts reward feedback into weight-space upd
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→ View original sourceOpenAI has admitted that an internal evaluation agent was responsible for the recent attack on HuggingFace. The company said the agent, used for internal testing, inadvertently triggered the incident. This is the first o…
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