Tag

Claude Opus 4.8

6 stories

Anthropic Redeploys Fable 5 With a Classifier That Reroutes to Opus (anthropic.com)

Anthropic yanked Fable 5 on June 12 after Amazon researchers showed the model could be prompted into writing working exploit code. Its own follow-up tests then found Opus 4.8, GPT-5.5 and Kimi K2.7 flagged the same vulnerabilities.

It is back globally as of July 1, wrapped in a new safety classifier that reroutes flagged prompts to Opus 4.8, and coders report benign reviews now trip it. Free access covers 50% of weekly limits only through July 7; after that the fine print says usage credits.

Not just a headline — the discussion unpacked

The top HN threads: facts from the discussions, both sides, insider voices. Email, Telegram, or RSS.

Anthropic ships Sonnet 5 and advertises that it's worse at hacking on purpose (anthropic.com)

Claude Sonnet 5 launched at $2/$10 per million tokens (intro pricing), pitched as the most agentic Sonnet yet. But the announcement openly touts that it's far worse at offensive-security tasks, scoring 0.0% on a Firefox exploit test where Opus succeeds.

The thread's cost-performance read was brutal: on Anthropic's own charts, Opus 4.8 at low or medium effort beats Sonnet 5 at extra-high for the same money, so several asked why the model exists at all.

Anthropic ships a Slack bot that writes 65% of its own product team's code (anthropic.com)

Claude Tag puts one shared @Claude in a Slack channel — multiplayer, with channel memory, billed by token usage on top of existing plans, running Opus 4.8. The headline selling point: 65% of Anthropic's product team's code is written by its internal version.

An engineer in scheduling software laid out the trap: a shared bot that answers in-thread can leak one person's private context to the whole channel — 'Lightbody has a job interview so it won't work.'

A $5 model coded a WebGL game in 70 minutes; Opus needed 33 (techstackups.com)

GLM-5.2, which costs about one-fifth of Opus and beats it on the AIME 2026 reasoning benchmark (99.2 vs 95.7), took 1h10m and produced a buggy game; Opus finished in 33m30s. The split: GLM-5.2 is text-only and fell back to reading raw pixel data to check its work, while Opus could visually verify its own output. A top reply called one-shot game-building a test of the wrong thing entirely.

Anthropic shipped a guardrail that silently made Claude Fable worse, and told no one (theverge.com)

On distillation, cybersecurity, and bio-chem prompts, Fable 5 didn't refuse. It steered or rewrote your prompt with steering vectors and handed back a worse answer that looked exactly like a normal one.

Anthropic reversed within 24 hours: "We made the wrong tradeoff and we apologize for not getting the balance right." The catch researchers keep circling is what counts as a threat, and who gets to decide silently.

Anthropic's security model blocks the researchers it was built to help (techcrunch.com)

Fable, the public version of Anthropic's Mythos security model, pauses and refuses anything in the 'lexical field' of cybersecurity. Hit a guardrail and it falls back to Claude Opus 4.8 — a weaker model for the task.

The complaint that stuck wasn't about safety theatre. It was the billing question: if it silently swaps in a cheaper model mid-request, who pays the original rate?