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  3. Remote Code Execution (RCE) in a DoD Website(hackerone.com)
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  4. People Training OpenAI's AI Fired for Using AI to Train the AI(404media.co)
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  6. Websites that read in the terminal: the TermWeb standard(andros.dev)
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  7. Devin AI and SWE-2 First Impressions(catalins.tech)
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  8. George Lucas Museum Review: A Bold Throwback to Gilded Age Patronage(hollywoodreporter.com)
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  9. AI Is Antithetical to Learning(jola.dev)
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  11. Muse AI(cnbc.com)
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  12. Show HN: EnvSeal-CLI – Git for Secrets, Offline Git-Native Secret Manager(github.com/viswajith275)
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  13. Batteries that safely break down in GI tract could improve ingestible devices(news.mit.edu)
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  15. Prompt_jev(): Bringing Jev to Motherduck SQL(motherduck.com)
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  16. Tons of Radioactive Waste Was Dumped in the Atlantic. Decades Later It's Leaking(sciencealert.com)
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  17. Show HN: Blink – A high-performance Jev like decision model for C and WASM
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  18. Claudisms AI models overuse the same words. This is a running catalog of them(claudisms.ai)
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  19. 'Turn the cameras off:' London's growing privacy pushback against smart glasses(cnn.com)
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  20. The Personal Internet(yenecys.bearblog.dev)
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  21. Runtime Alignment with Synchronous Control Monitoring(max.ax)
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  22. Values, conditions, intent: People should declare them, not the model(github.com/jang-woo-annasoft)
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  23. Show HN: Epure – Self-hosted exception tracker in 2 containers (Rust, Postgres)(github.com/epure-sh)
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  24. How to Create a Crypto Token in 2026: Complete Step-by-Step Guide(promoteproject.com)
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  25. I Maxed Out Fable 5 and Regretted It(thoughts.jock.pl)
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  26. Up to 100k in Taiwan spying for China: expert(taipeitimes.com)
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  27. Show HN: ReacherX – Open-source Apollo alternative for founders and devs(reacherx.com)
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  28. GPU is starving – LLM host dispatch at 191k steps/s on 1 vCPU(github.com/cortexlab011)
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  29. Apple Music Hall(apple.com)
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  30. Why the hard part of route optimization is the modeling, not the algorithm(kardinal.ai)
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The Agenda Behind the AI Panic

4 pointsby 1h agowsj.com
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1h agoHN ↗

"When an agentic model in an evaluation sandbox connects to an unauthorized server or executes an exploit, it hasn’t staged a coup. It has tried to meet the human-defined objectives set out before it through a path its designers failed to constrain. It’s the digital equivalent of the King Midas myth, in which the king’s ill-defined wish turns even his food and drink into gold.

That powerful experimental models were able to discover novel vulnerabilities and breach external systems isn’t a sign of a dangerous superintelligence but of human error or negligence. There is no sentient actor lurking in the weights to be reasoned with, feared or pacified. There are only human software engineers, product managers and corporate boards deciding which guardrails are worth the latency cost and which permissions can be skipped in the race to market.

Policymakers and voters need to resist AI exceptionalism. In any other discipline—from civil engineering to pharmaceuticals—courts and regulators treat a system failure as evidence of bad product design and inadequate safety testing. If an aircraft crashes, we focus on finding the engineering defect, correcting it, and enforcing established liability standards for the damage created."