// Archive
The full archive of published work.
Most teams discussing agent security in 2026 still start from an outdated assumption: the main problem is that we only log prompts. That was closer to true in early LLM app stacks, but it is no longer a fair default. Today, major tracing implementations document multi-step visibility that includes
By the end of 2024, Google DeepMind's AlphaProof solved three of the five International Mathematical Olympiad problems, including the competition's hardest Hubert et al., Nature 2025. By 2025, systems like Aristotle were producing verified solutions to open research questions in mathematics and physics Achim et al.
Neuroscientist Eleanor Maguire and her team made a striking discovery in 2000 while studying London taxi drivers. Licensed London taxi drivers have to memorise the layout of 25,000 streets and the locations of thousands of places of interest. They spend 3–4 years preparing for "The Knowledge"
Something strange is happening to Britain's employment courts. A worker gets fired, types their situation into ChatGPT, and within minutes receives a 200-page legal claim complete with citations to obscure provisions they never knew existed. The filing is free. The judge who has to read it? Also
Andrew was sitting on the couch. He wanted a gym class. The sign-up window was about to open, he was fourth on the waitlist, and he told his AI assistant to handle it. The assistant was OpenClaw, an open-source agent framework running on Anthropic's Claude. It
It is May 2026 and somewhere at Cloudflare, someone finds a GitHub repo called obscura — a headless browser engine written in Rust with "no Chrome, no Node.js, no dependencies." The person shares it with their team, feeds it to an AI coding agent with a detailed plan,
You've probably had the conversation a dozen times. You open a new session with an AI agent and explain your project again. Share your preferences. Remind it who you are. It nods along, does the work, and when you come back a week later, it greets you like
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Words & Weights is a publication about large language models, artificial intelligence, cybersecurity, and the systems being built around them. The focus is not just on what the technology can do, but on how it works, how it is engineered, how it is secured, and what happens when it leaves