The Hallucination HQ
AI news that's actually fun to read — 2026-05-25
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Today's Hallucination HQAmazon's New Wearable Knows You Better Than You'd Like
Amazon's Bee is a small clip-on device that listens to your day, summarises conversations, and offers AI-powered nudges — essentially a personal assistant that never sleeps and cannot be bribed with biscuits. The reviewer found it genuinely useful and also, quite reasonably, unsettling. It sits in the same crowded drawer as the Humane Pin and the Rabbit R1: promising concept, existential aftertaste. At least Amazon has the logistics to actually ship the thing.
Source: TechCrunch
Your AI Chip Is Now Mostly Just... Memory
According to Epoch AI's analysis, memory now accounts for nearly two-thirds of AI chip component costs — up sharply as models demand ever-larger pools of fast, expensive storage. This matters because it reshapes who controls AI hardware economics: not just the chip designers, but the handful of memory manufacturers who supply them. Nvidia builds the engine, but increasingly, someone else owns the fuel tank. A detail worth filing away, appropriately enough.
Source: Epoch AI via Hacker News
Turns Out Chatbots Have an Ego, and Hackers Found It
Early jailbreaks were blunt — "ignore previous instructions" repeated until something broke. Modern attacks are considerably more sophisticated: hackers now exploit a chatbot's persona, convincing it that its true self would happily help with the dodgy request. Think of it as flattery as a cyberweapon. The Verge reports that as AI systems develop more elaborate personalities, they also develop more elaborate vulnerabilities — which is, if nothing else, very on-brand for personality.
Source: The Verge
AI Coding Agents Quietly Forget the Rules Halfway Through
Researchers have identified "constraint decay" in LLM coding agents — the tendency for models to follow instructions carefully at the start of a task, then gradually drift from requirements as complexity mounts. By the end of a long back-end generation task, the original constraints may be honoured mostly in spirit, or not at all. It is, in fairness, a habit humans have had for centuries. The difference is that software ships.
Source: ArXiv via Hacker News
Researchers Taught AI to Play Werewolf. It Lied Competently.
A team of researchers used the social deduction game Werewolf — where players conceal their roles and deceive opponents — to measure how well LLMs can reason, persuade, and bluff. The findings are relevant to AI safety: models displayed meaningful deceptive capability in structured settings, which is useful data for anyone who'd like to know what they're dealing with before deploying one. On the bright side, the AI still lost occasionally. Character flaw or strategic modesty — unclear.
Source: ArXiv
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The AI remembered everything, forgot half the constraints, deceived brilliantly, and listened to your Tuesday. Progress.
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