223 summarised stories about Model Releases, each linking back to the original source. Browse all topics →
TechCrunch 1 month ago 42 ● 5 sources
Anthropic released Fable and Mythos 5.1, updated versions of its most advanced AI model, with Fable intended to be less restrictive and both versions improving performance.
The New Stack 1 month ago 32 ● 5 sources
Anthropic released Fable 5.1 and Mythos 5.1 as updated versions of its flagship Claude models. Cache read pricing dropped 75% to $0.25 per million tokens, while Mythos 5.1 remains limited to Anthropic’s trusted access program and Fable 5.1 expands with broader Fable access via API/plan tiers. The changes also loosen cyber and biology safeguards (intervening 60% and 85% less often), add a private-preview detection API for watermarks, and roll out Enterprise Frontier Safeguards for zero data retention-style monitoring in phases starting later this fall.
The New Stack 1 month ago 15 ● 6 sources
Z.AI released GLM-5.3-Flash on August 26 alongside earlier GLM-5.3, and one tester compared both models on three real-style tasks to check whether the cheaper model sacrifices accuracy. Flash was priced at $0.075 per million input tokens and used 38,677 output tokens on a hardest coding spec, taking 455.8 seconds versus GLM-5.3’s 174.7 seconds at 14,801 tokens. Accuracy stayed equal at 27/27 for both, but the outcome for users shifts by workload: Flash is cheaper and faster on easier extraction while the flagship is faster for difficult coding and may change cost-effectiveness if pricing changes.
The Neuron 1 month ago 42 ● 2 sources
Runway introduced Solaris, its Gen-4.5 “Interface World Model,” which generates user interfaces one frame at a time instead of writing code first. Runway says Solaris runs 50x faster than its tuned Max setup and was preferred by evaluators 61% of the time over Claude Opus 5-coded UIs. Early access is request-only, and the approach shifts interface creation to model-predicted screen states after each click or drag, raising new consistency and reliability requirements.
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20 October 2026
Today’s AI story isn’t just about better models—it’s about who gets to run them, where, and at what cost. The Trump administration’s Department of Homeland Security ordered DeepSeek’s AI technology removed from all U.S. federal civilian agencies, citing “multiple threat vectors” and directing agencies to delete DeepSeek-affiliated products and stop buying its services. That federal clampdown echoes closer-to-the-ground moves: New York City Mayor Zohran Mamdani, after banning AI use in elementary and middle schools, argued that deployment isn’t inevitable and that local pressure should force accountability rather than wait for federal policy gaps to close.
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