Fragments: September 1

Like many readers, I’m wary of AI generated prose. Simon Wilison has written an LLM cliché highlighter - paste in some text, or a URL, and it will flag various patterns common to LLMs. It references a wikipedia page of signs of AI writing. That page points out that: Humans are notoriously bad at distinguishing human and LLM-generated text. While research on humans’ abilities to detect AI-generated text is still limited, a 2025 study has shown that human ability to distinguish LLM text from human is no better than random chance. Another 2025 study on German theses has shown that humans managed a “recognition rate of 57% for AI texts and 64% for human-generated texts”.[ Not just do I find myself repelled by prose with an LLM-voice, I also wonder how accurate my reaction is. I’m old enough to see all sorts of new tic-phrases appear, and in the past would just chalk it up to youngsters or airport business books. (Not to mention Americanisms, which I’ll get used to momentarily.) ❄ ❄ ❄ ❄ ❄ NVIDIA’s technical blog reports on an Architecture for Long-Horizon Autonomous Agents. Their research group used a combination of Claude Opus 5 and a harness called AVO, and used it first to do GPU ke…

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