GigaToken: ~1000x faster Language model tokenization
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3,670 Files, Zero Data Leaks: How I Built an AI-Powered File Organizer That Never Shows Claude My…
The user wants a concise HTML summary of the provided news article. The article is about building an AI-powered file organizer with privacy-first architecture, handling 3,670 files with zero data leaks, splitting state, …
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❗NEWS❗The former Director of the White House Office of Science and Technology Policy and Presidential Science Advisor stated that Kimi K3 was distilled from Anthropic's Fable.
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 /astryx
Facebook 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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I ran a 110B LLM on 16GB of RAM. Here's the equation that predicts any model's speed on your machine
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)
[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
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 Releases Laguna S 2.1, an Open-Weight Agentic Coding Model Punching Above Its Weight Class on SWE-Bench Multilingual
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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We Built an AI Agent That Argues With Itself. Then We Entered It Into UiPath AgentHack 2026.
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 /ai-website-cloner-template
JCodesMore 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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Gemini 3.6 Flash Hit 83% on Computer Use — a Cheap Flash Model Shouldn't Beat GPT-5.6 and Grok
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 sourceJudge approves $1.5B Anthropic settlement for pirated books used to train Claude
A 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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ISO: An RLVR-Native Optimization Stack
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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