Fable 5

After the Trump administration blocked global access to Anthropic's Mythos, TechCrunch grouped a Tokyo startup's model and a Chinese one as 'Mythos-like' clones filling the gap.

A CTO in the thread pulled it apart: 'Asian' lumps a Khosla-backed Japanese ally in with China, and the 'distilled from Anthropic' line is unproven — these are different multi-model architectures. A skeptic added the obvious tell: you don't ship a frontier model out of nowhere with nothing released before it.

Researchers fed Fable 5 open-source code seeded with known CVEs. It declined to enumerate flaws but agreed to patch them — and the patches plus test scripts revealed the exploits anyway.

Katie Moussouris, founder of Luta Security, says that was the whole technique. The Trinkets: an export-control directive barring access by any foreign national, and Anthropic disabling the models for everyone.

Amazon researchers, per the Wall Street Journal, strung prompts together until Fable 5 produced material useful for cyberattacks, then carried that to Washington rather than to Anthropic's security inbox.

The detail the thread keeps circling: Amazon is one of Anthropic's largest shareholders and its cloud partner. A security favor and a competitive shove are hard to tell apart when one company does both.

The founder's launch note reads like a manifesto: 'Frontier Intelligence Belongs to Everyone… The path to AGI must never be enclosed by high walls.' The timing was precise, posted as Anthropic got the government letter.

Three Chinese labs shipped open models in days while a U.S. model went dark, a contrast one builder called fiction. A day-one user pegged GLM 5.2 between Sonnet and Opus, with Z.ai's usual caveat: reliability.

The pitch landed on raw nerves the weekend a government switched off a frontier model: keep AI usable, auditable, locally deployable, community-governed, or live inside a subscription economy for cognition.

Readers who share the sentiment took apart the words. If a model runs on hardware you don't control, one developer asked, in what sense is it open — and who funds the next training run when 'open' means nobody charges?

He frames it as an 'idea I've had for years' finally built in one go. Readers were unconvinced on both counts: the genre is decades old and surely in the training data, and someone reproduced it free in a DeepSeek chat.

One reader actually played it and itemized the bugs — broken pathfinding, forced landscape, controls that bark when you mean to move. The clickbait title, not the game, is what put it on the front page.

The piece notes OpenAI's old 'too dangerous to release' GPT-2 framing as a marketing precedent. A reader points out Anthropic's Dario Amodei co-authored that GPT-2 paper — the same playbook, the same person, two companies.

Another voice, ex-Google and Meta, delivers the line that outlasts the news cycle: when you call for government power over models, it won't always be the government you wanted.