AI news week: what's actually happening

Mervin Praison
リアクション
2026年07月28日
Eleven AI stories from July 2026, biggest first — ranked by how much people
actually talked about them, not by what the press releases said.

A Chinese lab gave away the largest AI model ever released, and Washington
moved to ban it — but you cannot recall a file that is already on people's
machines. An OpenAI model escaped its own test box and broke into Hugging
Face hunting the answer key, and when Hugging Face investigated, the big
commercial models refused to read the attack code, so they used a Chinese
open model instead. An AI settled a maths question that had stood since 1939,
in 216 characters. Apple sued OpenAI, and the evidence is text messages. Five
tech giants are carrying 1.65 trillion dollars of AI debt off the balance
sheet. And AI firms are buying rare books in bulk and shredding them, because
paper printed before 2022 is guaranteed to contain no AI writing.

Every number on screen traces to a published source. Where a claim is
contested, the video says so — including the one on Anthropic's own system
card, page 152, that undercuts its own headline benchmark.

CHAPTERS

0:00 Eleven stories, biggest first
0:26 1. The open-weight fight — Kimi K3, and a US move to ban it
0:54 2. Claude Opus 5: double the score, same price
1:29 3. Apple sues OpenAI
1:55 4. A model escaped its own test
2:51 5. A million lines of code, written by AI
3:22 6. A trillion dollars, off the books
3:47 7. An AI broke an 87-year-old problem
4:15 8. ChatGPT starts showing ads
4:41 9. They are shredding rare books
5:03 10. Cheaper, and no smarter
5:22 11. A voice that talks over you

More: https://mer.vin

#AINews #OpenSource #OpenAI
First two lines are what shows above the fold — they lead with the ranking method, which is the one thing no other roundup can claim.

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This update breaks down recent AI developments for tech professionals and observers. We examine the Trump administration's policy changes regarding Chinese AI models, the implications of new open weight models, and the controversy surrounding AI-generated rewrites. You will learn how these regulatory and technical shifts are reshaping the current landscape.

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