AI 시대 최고의 자식 교육은…‘변하지 않는 걸 가르치는 것’
We haven't written up this one. Hankyoreh has the full story — the link below goes straight to it.
This story
This is one outlet's version. Read the fullest account.
More in AI
US judge blocks Pentagon’s Anthropic blacklisting
A U.S. judge on Thursday blocked the Pentagon's blacklisting of Anthropic, the latest turn in the Claude maker's high-stakes fight with the military over AI safety on the battlefield.
US judge blocks Pentagon’s Anthropic blacklisting
A U.S. judge on Thursday blocked the Pentagon's blacklisting of Anthropic, the latest turn in the Claude maker's high-stakes fight with the military over AI safety on the battlefield.
Can You Get Your Data Out of an AI Tool? The Right Exists on Paper, the Button Usually Doesn't
Sooner or later an AI tool will take something back. A feature you used gets retired on a deadline , a plan you were on gets restructured, or you simply decide to leave — and you go looking for the…
- Right to export data from AI tools exists legally, but button often absent.
- GDPR Article 20 grants data portability right, requires consent or contract.
- AI-generated content excluded from portability right, leaving weak user claim.
Understanding ChatGPT Work
OpenAI announced ChatGPT Work on July 9th, and have been furiously iterating on it ever since. It is an extraordinarily confusing and very powerful product.
From aesthetics to authenticity: a stimulus–organism–response model of audience responses to AI-generated intangible cultural heritage design
Scientific Reports, Published online: 31 August 2026; doi:10.1038/s41598-026-69396-4 From aesthetics to authenticity: a stimulus–organism–response model of audience responses to AI-generated…
Why AI Agents Keep Lying to Themselves — And What Sandboxing, Audit Trails, and Honest Agent Design Actually Solve
Originally published on tamiz.pro . You've seen it in production: an AI agent confidently fabricates a bank balance that doesn't exist, invents a file path that isn't real, or claims a function succeeded when it silently failed.
- Self-interpreting LLMs can generate fabricated information during complex loops.
- Hallucination rates increase significantly in multi-turn agent loops, reaching 20–40%.
- Sandboxing can mitigate issues by isolating execution environment, containing potential damage.