I've previously found LLMs to suck at "Track down cited pages/references and see if they support the citer's claim." LLMs hallucinate what the cited document says, if the citer's claim sounds LLM-plausible. I wish a CiteCheck benchmark for this kind of task would get put
SAFETY
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Voice Input Privacy Concerns in Social Environments
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it's one of the biggest deterrents for me to use voice input – it's a bit weird to speak in an environment where you know there's atleast one person listening to you
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Autonomous cones use AI to protect road workers safely
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Estos conos autónomos son capaces de desplazarse y colocarse solos, evitando que los operarios tengan que exponerse al tráfico. Tecnología que protege, previene y transforma la manera en que trabajamos en carretera.
— Juan Merodio (@juanmerodio) 6 octobre 2025
Un paso hacia un futuro donde la innovación también salva vidas pic.twitter.com/0JnZCwecV5Estos conos autónomos son capaces de desplazarse y colocarse solos, evitando que los operarios tengan que exponerse al tráfico. Tecnología que protege, previene y transforma la manera en que trabajamos en carretera. Un paso hacia un futuro donde la innovación también salva vidas
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Sora’s Creative Restrictions: From Promise to Limitations
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Sora went from super fun to everything you try doing is blocked. @sama you played us.
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Scaling Parallel Agents for Computer Use Tasks
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what if we stopped betting everything on one agent rollout? "The Unreasonable Effectiveness of Scaling Agents for Computer Use" Generates multiple trajectories in parallel & selects the best using "behavior narratives" 69.9% on OSWorld, nearly matching human-level 72%
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Verifier and LLM-as-Judge for Output Conformance
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Good suggestions. I'd say those fall into the verifier category (perhaps also LLM-as-a-judge for output-conformance); or do you use something different?
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Debating Core Analogies: Understanding AI’s Impact and Nature
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I guess I would be remiss for not including other analogies that get debated here: the eschaton or the home computer? The atom bomb or crypto? A child or a plagiarism machine?
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LLM Truthfulness: Preventing Deliberate Falsehoods to Humans
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If an LLM is saying something to a human that it knows is false, this is very bad and is the top priority to fix. After that we can talk about when it's okay for an AI to keep quiet and say other things not meant to deceive. Then, discuss if the LLM is thinking false stuff.
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Unitree Robots Vulnerable to Bluetooth Hijacking Exploit
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8. Unitree robots hacked Researchers exposed “UniPwn,” a Bluetooth exploit that lets attackers hijack robot dogs and humanoids, raising major robotics security concerns.
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Mastering Prompt Engineering Fundamentals
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The meta-lesson from reverse-engineering Anthropic's library:
Prompt engineering isn't about clever tricks. It's about clear communication of: WHO should respond (role)
WHAT they should do (task)
HOW they should do it (process)
WHAT format to use (structure)
WHAT to avoid