GPT‑5.1 adds adaptive reasoning and clearer instruction‑following; ChatGPT rolls out GPT‑5.1 with pricing updates and eight style presets plus personalization experiments; Copilot ships one‑click repo analysis; Claude collaborates on Project Fetch and improves hardware interaction; Anthropic announces $50B US data centers.
Main Content
GPT‑5.1 feature updates: Introduces an adaptive reasoning mechanism that dynamically adjusts thinking time based on problem complexity, improving accuracy on hard queries. Enhances instruction‑following to better align with real user intent.
GPT‑5.1 performance optimization: Thinking time is extended for complex questions and shortened for simple ones. Reduces heavy jargon in responses, making outputs clearer and easier to understand.
GPT‑5.1 core progress: Overall chat capabilities improve, including stronger adherence to custom instructions and more accurate reasoning‑based responses—showing smarter behavior in conversation.
ChatGPT model release: GPT‑5.1 rolls out with more intelligent and reliable interactions, gradually reaching all users this week.
ChatGPT pricing updates: GPT‑5 remains available to paid subscribers for three months before entering a sunset period. GPT‑5 Pro will be updated to GPT‑5.1 Pro soon, with other legacy models unaffected.
ChatGPT feature updates: Adds eight distinct style presets—Default, Professional, Blunt, Quirky, Friendly, Efficient, Nerdy, and Cynical—so users can quickly set tone and style under the Personalization tab.
ChatGPT personalization experiments: Introduces experimental controls such as adjusting warmth and emoji frequency, currently rolling out to a small cohort for feedback.
GitHub Copilot tool updates: Adds a one‑click “analyze entire codebase” capability that automatically generates custom instructions to help Copilot better understand and operate on project code.
Claude industry collaboration: Partners with Project Fetch to accelerate hardware‑interaction tasks. Claude helps teams produce more code and try multiple approaches in parallel—while acknowledging potential distraction risks.
Claude performance optimization: Enables non‑expert users to interact with unknown hardware via frontier models. Project Fetch experiments show faster progress within a limited scope.
Anthropic AI infrastructure announcement: Invests $50B in data centers across Texas and New York to support training for Claude and future models, with thousands of jobs expected.
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