#Token

ARGODRIVE Deltafin: Kimi K3 (2.8T MoE) streamed from SSDs on Apple Silicon — fork of gavamedia/deltafin with the ARGODRIVE storage work and benchmark package - argonautlabsai/deltafin

Production AI agents' failures are less often due to an inability to reason well and more often because they cannot manage what is in their reasoning context: conversation histories, large prompts, large tool definitions, and ballooning tool outputs.…

Clean up Claude 5's token vomit with a separate LLM. Save your tokens, Claude 5 is hopeless - zachahn/vomit

Interviewed DeepSeek on how it works, then checked against papers. Same method as Kimi — plainer English and concept diagrams.

An open 45M-parameter model for tool calling, device use, and structured extraction. Needle 2 runs as a 14 MB binary in 28 MB of session RAM.

A music sequencer built entirely on Petri nets — token rings become drum machines, Euclidean rhythms fall out of the topology, and polyrhythm comes free.

Mini Shai-Hulud malware was injected into keyv and eight related npm packages on August 4, 2026 after an attacker compromised the maintainer's GitHub account

Contribute to ryanzhou/deepseek-v4-flash-mi300x development by creating an account on GitHub.

A language model on a 1975 MOS 6502 processor, using a tiny Mamba-based language model and custom 8-bit ternary inference engine, used to generate text on a BBC Micro from the 1980s.

Run the full 2.78-trillion-parameter Kimi K3 model beyond available RAM by streaming activated weights directly from NVMe. A dependency-free, embeddable C inference engine. - sqliteai/waste

aistack is an open benchmarking initiative by imec, generating solid datapoints where real AI workloads meet real systems and silicon.

i dissected some firmware for a Hanwha Wisenet XNP-9300RW and found that it had github admin tokens in it, also miltech is weird

Token amplification creates a paradox in the AI economy, as more capable models beget more complicated tasks.

Qwen3.8 is launching and going open-weight soon!🌐 With a massive 2.4T parameters, this model is continuously evolving. We believe it’s one of the most powerful model available today, compatible to leading frontier AI models , second only to Fable 5.…

"Leadership [...] are still asking the question of whether they're getting value from what we're spending."

Companies look for cheaper alternatives as token costs for frontier AI models skyrocket, potentially impacting OpenAI and Anthropic's bottom lines.…

You probably use Claude Code, Cursor, or Windsurf every day — but if you're not running an MCP server...

LLM-based Multi-Agent (LLM-MA) systems are increasingly applied to automate complex software engineering tasks such as requirements engineering, code generation, and testing.…

A from-the-ground-up walkthrough of how modern LLMs work, from tokens to transformer blocks to the next-token loop