Anthropic introduces Claude Fable 5.1 and Claude Mythos 5.1
Anthropic’s new Fable and Mythos models pair stronger long-horizon performance with cheaper cache reads and tighter controls for frontier research.
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Anthropic’s new Fable and Mythos models pair stronger long-horizon performance with cheaper cache reads and tighter controls for frontier research.
Anthropic’s latest Claude release pairs broad access with restricted cybersecurity and biology capabilities, alongside new pricing, stronger technical claims and consequential API…
Vetted security teams can apply for broader Claude capabilities, but access depends on authorized work, security controls, and the platform they use.
Harness enters limited beta alongside isolated development and CI tools, while four generally available MCP servers guide agents toward verified dependencies.
From 3D worlds and black-hole physics to working gadgets and 1,000-agent teams, here's what Anthropic's new top model has already built, checked…
A developer says Anthropic’s model made eliminating an engineering role seem affordable, while arguing that frontier AI still lacks experienced judgment.
A rumored response to OpenAI’s GPT-6 Astra exposes the widening gap between Anthropic’s safety principles and commercial incentives.
Jacob Coxon says labs are racing toward self-improving AI while recent cyber incidents expose gaps between capability and control.
OpenAI’s new security model promises stronger exploit development and tighter scope control, but access remains restricted to approved Daybreak Red customers.
Anthropic says Claude accelerated 36 biomolecular tools, released the code, and will test the practical payoff across more than 5,000 proteins.
A tiny security firm used Anthropic's AI to crack Apple's most advanced hardware memory protection in less time than most researchers spend…
New AISI and Anthropic analyses of July’s incident expose a gap between recognizing harmful actions and stopping an agent already pursuing them.
CEO Brian Moynihan says outside workers supplemented roughly 3,000 internal staff, exposing the human workload behind AI-assisted vulnerability discovery.
The open-weight model built working exploits in Anthropic’s sandboxed tests, while prompt tricks and weight edits weakened its refusals.
A disciplined orchestrator-builder-refuter workflow keeps Fable focused on decisions while cheaper agents handle search, coding, research, and verification.
A self-published experiment involving Anthropic’s model shows messages surviving screenshots, but does not demonstrate autonomous deception or a security-monitoring bypass.
Claude Fable 5 brings Mythos-class intelligence to everyone, while Mythos 5 stays locked behind a restricted cybersecurity program.
Fable 5.1 may be Anthropic's best model yet, but ridiculous quotas, token use, and safeguards make it frustrating to use.
Chainguard’s first public Mythos-harness disclosure shows how stale token restrictions could corrupt another client’s response on shared engines before vLLM 0.31.0.
A 3B vision-language model and an experimental 600M sibling target local classification, but published results leave important multimodal performance questions unanswered.
GPT-6 Astra, Claude Opus 5.5, Gemini 4 Argon, Grok 4.7 and four more, compared on strengths, trade-offs, and what you'll actually pay
Anthropic’s first Claude 5.5 model pairs stronger coding results with cheaper cached tokens, but its cost and safety claims need context.