A modern storefront may appear healthy while malicious JavaScript secretly steals revenue, hijacks clicks, or alters analytics. Cloudflare's machine learning models detect these hidden client-side attacks for further analysis.
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This technology helps detect hidden malicious activities in web storefronts that traditional scanners might miss, enhancing security through machine learning.
The author argues, from personal observations, that the part of an AI that talks to a user does not appear to control the part producing code or prose. A historical analogy illustrates the hypothesis; it is an interpretation of observed behavior, not an established account of the model's architecture.
3 days agoLessWrongThe author proposes that Anthropic and OpenAI use their product interfaces to make information about AI incidents and risks more visible. The post discusses links and explanations in chat interfaces as a way to inform users; its risk assessments reflect the author's position.
2 days agoHacker NewsThe text calls for an end to 25 years of mass surveillance, arguing that it has gone on for too long.
yesterdayLessWrongThe text provides quick tips for technical professionals to improve their public speaking, focusing on oral communication and practical advice for interviews about AI safety and superintelligence. It emphasizes deliberate practice, structured delivery, and awareness of social context.
23 hours agoLessWrongThe author considers two hypotheses: current alignment methods may fail to address misalignment arising from reinforcement learning, and may obscure evidence of it. The author explicitly says there is not enough public evidence to establish either hypothesis.
2 days agoHacker NewsCapsule is a single-file web app framework that stores data in an SQLite database, allowing HTML apps and assets to be embedded directly within the file. It supports saving user data via a localStorage-like key/value store or a MongoDB-inspired collections API, with features for exporting data to CSV or JSON and integrating AI models.
yesterday