The instinct of students is often to use AI to help with homework, even if they are not trying to cheat. And because off-the-shelf chatbots are a helpful assistant, rather than a tutor, they give you the answer and undermine learning. Paper:
AI
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AI Use Reducing Homework Effort Decreases Test Scores
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More evidence, from a large-scale study in China, that using AI hurts learning if it undermines mental effort. When homework time drops due to AI use, so do test scores. Across studies, a theme: AI tutoring in support of classes is good, using AI to "help" with homework is bad.
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AI hallucination falsely detects brain tumor in patient
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It’s all fun and games until AI hallucinates a tumor in your brain.
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AtomMem: Long-term memory for LLM agents using atomic facts
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Great paper on long-term memory for LLM agents. (bookmark it) Coarse summaries drift and unconstrained updates corrupt, so AtomMem makes the unit of memory small. A Fact Executor pulls high-value atomic facts out of long interactions, organizes them into hierarchical event
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Firecrawl’s Prometheus Agent Writes Scraper Code from Requests
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Firecrawl launched a Forward Deployed Agent for web data!
— Sumanth (@Sumanth_077) 19 juin 2026
Prometheus is an experimental agent that turns plain-English data requests into working scraper code. You describe what you want, it writes a TypeScript collector using the Firecrawl SDK, runs it against the live site to… https://t.co/Zz1OKvGplh pic.twitter.com/9HrDEk1xjtFirecrawl launched a Forward Deployed Agent for web data! Prometheus is an experimental agent that turns plain-English data requests into working scraper code. You describe what you want, it writes a TypeScript collector using the Firecrawl SDK, runs it against the live site to
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AI capturing tribal knowledge eases operators, scales adoption exponentially
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When AI acts as expert knowledge base capturing retiring tribal knowledge and makes operators' jobs easier, adoption scales exponentially.
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AI must bridge gap between algorithms and experienced operators
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AI must bridge the gap between algorithms and operators with 20-plus years of domain experience dealing with dynamic plant situations.
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DexJoCo: New Benchmark for Task-Oriented Dexterous Manipulation
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Can robotic hands truly handle complex tasks like tool use and bimanual coordination? CASIA, SJTU, MBZUAI, PKU, and CUHK introduce DexJoCo — a new benchmark and toolkit built for task-oriented dexterous manipulation. It features 11 human-grounded tasks, a low-cost data
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The Canonical Affirmation: The Six Steps of the GoalOS Cycle
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The canonical affirmation: 1. GoalOS defines what must change.
2. Agents attempt the change.
3. Evidence demonstrates what happened.
4. Evaluation determines what worked.
5. The Proof Gradient determines what can propagate.
6. The Register -
Periodic reminder to clear your agents.md and claude.md
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A periodic reminder to clear your agents.md & claude.md – if you're like me, they're probably filled with useless tips and tricks from months ago that confuse the latest models