Anthropic opens Fable 5 to the public; Germany makes Google liable for AI answers

Anthropic released Claude Fable 5 on June 9 — a public, safeguarded version of its Mythos-class model that it calls state-of-the-art on nearly every capability benchmark, from software engineering to scientific research. It can work autonomously across millions of tokens of memory; Stripe says it "compressed months of engineering into days" on a codebase migration. Fable 5 is included free on Pro, Max, and Team plans through June 22, then runs on usage credits at $10 per million input tokens and $50 per million output tokens.

The same launch quickly drew fire from security researchers. Fable 5's safeguards downgrade the model to Claude Opus 4.8 whenever a request touches cybersecurity, sensitive biology, or model distillation — but researchers say the filter is keyword-based and overbroad. Valentina Palmiotti reported it "rejects any request that could be tangentially cyber related," and Matt Suiche of Tolmo AI noted even "write secure code" or a routine code review can trip it. Anthropic points approved professionals to its gated Cyber Verification Program; it did not comment on the complaints.

The Regional Court of Munich ruled that Google is directly liable for content its AI Overviews generate, rejecting the search-engine "host" defense that has long shielded platforms. The case involved Overviews that falsely tied two Munich publishers to fraudulent companies. The court found the summaries make "independent, new, and substantive statements" rather than merely pointing elsewhere, and dismissed the idea that users should fact-check them. Legal analysts say the precedent could expose every AI-answer provider — Google, OpenAI, Anthropic, Perplexity — to similar liability across Europe.

Google released Gemini 3.5 Live Translate, an audio model that translates speech continuously instead of waiting for a speaker to finish — staying just a few seconds behind while preserving the speaker's intonation and pacing. It auto-detects more than 70 languages and supports over 2,000 language combinations in a single meeting. It is rolling out in Google Translate on Android and iOS, in Google Meet for enterprises, and through the Gemini Live API for developers.

Meta will build a 168-megawatt AI data center in Jamnagar, Gujarat, with Reliance — its first AI infrastructure investment in India, expandable over time and slated to open within two years. Meta is covering all energy and water costs, drawing on renewable power and seawater cooling, and has contracted nearly a gigawatt of additional clean capacity through separate deals. The agreement deepens a partnership that began with Meta's $5.7 billion stake in Reliance's Jio Platforms in 2020.

Google released DiffusionGemma, an experimental open model that abandons the usual word-by-word approach and instead generates whole blocks of text at once, the way image models denoise a picture. It is a 26 billion-parameter mixture-of-experts (MoE) model that activates 3.8 billion parameters per step and hits more than 1,000 tokens per second on a single Nvidia H100 — up to 4-times faster than typical autoregressive models. The Apache 2.0 weights are on Hugging Face, though Google notes output quality trails standard Gemma 4.

Cohere launched North Mini Code, its first agentic coding model and its first open-weights release — a 30 billion-parameter mixture-of-experts (MoE) design that keeps just 3 billion parameters active and handles a 256,000-token context. Cohere says it scores 33.4 on the Artificial Analysis Coding Index and delivers up to 2.8-times the output throughput of Devstral Small 2 on comparable hardware. The Apache 2.0 weights are on Hugging Face, with Cohere API and OpenRouter access alongside.