Someone is archiving deleted LLM models before they vanish
Pirate Face archives open-weight language models that companies try to delete. Turns out model takedowns happen more often than I thought.
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Pirate Face archives open-weight language models that companies try to delete. Turns out model takedowns happen more often than I thought.
A solo developer just open-sourced their macOS music player. The interesting bit is not the player, it is the local jukebox mode that turns your Mac into a shared library for other devices.
A live playground for experimenting with domain-specific ML languages, no install required.
Someone repurposed their home security setup to log every bird species that flies past. The microphone was already there.
The GPU monopoly now owns the model zoo. This changes who controls open-weight AI.
Three years after first commit, the project that made local LLMs possible ships a stable release.
A developer built a tool that lets you rewind SQLite databases to any point in their history, no external dependencies required.
Someone just released a minimal codebase for supervised fine-tuning, direct preference optimisation, and group relative policy optimisation on consumer hardware.
A Debian general resolution proposes banning LLM-generated patches. The reasoning is direct: you cannot verify the training data's licensing.
David Siegel argued with Richard Stallman for two years in the 1980s. Now he is watching the exact same debate play out with AI models.
A city government announced a locally trained language model. Turns out it was two existing models stitched together with the weights renamed.
Models.dev is an open-source database that tracks pricing, context windows, and rate limits across every major LLM provider. No more tab-sprawl to compare GPT-4 versus Claude costs.
Linus Torvalds says automated vulnerability scanners have turned the kernel security mailing list into noise. The tools work, the signal-to-noise ratio does not.
Mythos, an autonomous security agent, caught a buffer overflow in curl that human auditors missed. The tooling works.