A preprint titled "NERVE Attacks: Breaking AI-Powered Brain-Computer Interfaces" from researchers Zahra Tarkhani, Georgios Akkogiounoglou, Isabel Tscherniak, Lorena Qendro of Nokia Bell Labs, and Anil…
Anil Madhavapeddy found that giving an AI agent only a rumor of a security flaw was enough for the agent to locate the exploit, and that his own agents could find the exploit from rough knowledge of t…
Tessera v2.0 beta2, published by Anil Madhavapeddy and Mark Elvers to source.coop, reduces boundary artefacts by 35% using MODIS corrections but regresses temporal alignment, so beta1 may remain the b…
Open source maintainer Anil Madhavapeddy deployed Scrutineer, a security scanner from the Alpha-Omega project, to proactively find bugs in his code, using a local GLM 5.3 Flash model on his Mac Studio…
OpenUK's AI Openness report, published in July 2026, features a fireside chat with Anil Madhavapeddy on open foundation models like TESSERA, emphasizing that non-inspectable, non-reproducible models a…
Researchers at the University of Cambridge built TESSERA, a planetary-scale foundation model for Earth observation, using AMD Instinct GPUs instead of Nvidia hardware. The model, trained on 16 AMD MI3…
Anil Madhavapeddy, a University of Cambridge computer scientist, examined a first-year PhD viva in the Faculty of Law on planetary infrastructure regulation and reported that 1.7 million low Earth orb…
Developer Anil Madhavapeddy released ocaml-deepseek, an OCaml library that integrates DeepSeek's open-weight LLM directly into applications via a native inference engine, enabling local, dependency-fr…
A new OCaml course book for the NPTEL MOOC platform runs code directly in the browser with no installation or server, aiming to eliminate the setup barrier that has long plagued beginners. The book, w…
Developer Anil Madhavapeddy released TESSERA v1.1 and GeoTessera 0.9, improving temporal embeddings and S3+Zarr support, while also advancing io-uring libraries for OCaml. The updates address performa…