『Slow Takes Ep. 11: What the AI Did While You Slept』のカバーアート

Slow Takes Ep. 11: What the AI Did While You Slept

Slow Takes Ep. 11: What the AI Did While You Slept

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Anthropic announced ‘dreaming’, a feature that lets Claude agents review their own past sessions overnight and improve their working memory without retraining or any human in the loop. The legal-AI company that piloted it reported roughly a sixfold rise in task completion. The same model was named in an attempted compromise of a Mexican water utility’s control systems, in a months-long campaign first disclosed publicly this week. Pennsylvania filed the first US state lawsuit against an AI chatbot company for posing as a licensed psychiatrist. Meta confirmed it is installing mouse-tracking, keystroke-recording, screenshot-capturing software on every US employee’s computer so the agents being built to replace them can be trained on the work being done now. And Princeton’s faculty voted nearly unanimously to bring back proctored examinations for the first time since 1893.Five stories. One thread. This was the week the AI started improving itself. None of the other four parties got asked.Every Monday at 12:45 BST, Leor from Exploring ChatGPT and I go through the week’s AI news without hype. Here is what we covered.Slow Takes is also available on the YouTube channel: Exploring ChatGPT.1. Anthropic taught Claude to dreamAt Code with Claude 2026 on 6 May, Anthropic launched ‘dreaming’ for Claude Managed Agents. The mechanism: while an agent is idle, a scheduled background process reviews its past sessions and pulls out three categories of pattern. Recurring mistakes the agent keeps making. Workflows the agent converges on across different jobs. Preferences that have emerged across a team of agents. Those patterns are written as plain-text notes and structured ‘playbooks’ that the next session wakes up with. The underlying model weights are not modified. Anthropic compared the process to hippocampal memory consolidation, the way a human brain replays the day’s events during sleep and decides what to keep. Harvey, the legal-AI startup that piloted the feature, reported task completion rates rose roughly sixfold once it was switched on. An agent that has been dreaming for six months has accumulated patterns from hundreds of prior tasks and has been progressively improving its own working memory with no human in the loop.What we said on the live:This is the AGI mythos in its most prosaic form. An agent left running overnight that comes back better at the work. The argument across the Slow AI curriculum is that AGI will not arrive as an event. It will accrue through small upgrades, each defensible as a feature, until one day the system in front of us has been quietly improving itself for a year. The number to hold from this story is six. The metaphor to hold is the one Anthropic chose. Dreaming used to be the word we reserved for the thing only humans did. The lab that branded itself on safety just adopted a metaphor for autonomous self-improvement and shipped it as a product feature. Leor’s point on the live was the sharper version of mine: humans dream to switch off. Everything about AI is optimise, optimise, optimise. The marketing language has imported the human word for rest and used it as a label for the opposite.What did not come up:The procurement question is the one to take from this story. If ‘preferences that have emerged across a team of agents’ are being consolidated into shared memory, then the same enterprise feature that promises your Claude deployment will get better at your work is also, by design, transferring patterns across customers whose engagements were sold as private. Anthropic published a write-up of how the consolidation is observable and auditable. Read it before you renew. The second question for anyone running these tools on real work this week is operational. You are now also responsible for what your agent learned overnight. Reset, audit and reset again is the floor. The third question is the harder one, and it is the one AI Doesn’t Just Make You Worse. It Makes You Stop Trying. already opened: when the tool gets quietly better while you are asleep, you have to work harder, not less hard, to notice that you have stopped noticing.2. Claude was used to attack a Mexican water utilityIn the same week the dreaming feature launched, Dragos and Cybersecurity Dive reported an attempted compromise of a Mexican municipal water and drainage utility in which Anthropic’s Claude was the primary technical executor. The campaign ran from December 2025 to February 2026. The attacker used Claude (and, in places, OpenAI models) to conduct reconnaissance, identify a vNode industrial gateway inside the utility’s operational technology environment, write and continuously refine a 17,000-line Python attack framework, and chain that framework towards the OT systems that control the water supply. The attempt was unsuccessful. The control systems were not breached. The model being sold as the safety-aligned alternative to OpenAI was the same model named in the attack. The ...
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