Anthropic shipped Opus 5.5 on September 22: by its own numbers, Fable 5.1's level on most work, at $4/$20 per million tokens against Fable's $10/$50, with medium as the new default effort. What the release measures, where the catch is, and how my Claude seat left Fable the same afternoon.
xAI shipped Grok 4.7 today: a larger base model, 500k context, xhigh still the ceiling, same $2/$6 price, and a few contradictions in its own pages. What the model card measures, and how every Grok pin on my desk moved to 4.7 the same afternoon, balance wall included.
A year as founding principal AI-native engineer at a stealth healthcare-scheduling startup: therapy schedules for nursing facilities, OR-Tools and dynamic programming, HIPAA without the theater, Terraform on Google Cloud, and three AI agents under one rulebook. A case study.
Jev turns natural language into choices, scores and probabilities. A practical guide to the model, the harness, the demos—and what it could change for my three-agent setup.
Named teammates on a persistent cloud computer. SuperGrok Heavy includes it. How it works, what it costs, and what to hire it for.
OpenCode is an open-source coding agent. DeepSeek and GLM supply models; subscriptions start at $10–$18/month with usage allowances, separate from any billed overflow.
Two GPT Image 2.5 models, same token rates. Flare is the volume default. Sunburst is the precision one. Pin that when the picture is the product.
Anthropic's proposed TypeScript middleware for Claude Code: how the continuation model works, the proposed API in full, worked examples, and the open questions on availability and cost.
A model can get promoted without receiving a single new weight — just a token, a runtime, and permission to spawn workers. Amodei is right that time is worth buying.
AI assistance can reduce practice when it replaces the thinking a task requires. Research points to task-specific risks and ways to preserve unaided skills.
ETH Zurich had 100 students build apps by prompt alone. Computer science knowledge predicted results best, writing skill added its own share, and frequent LLM users scored lower.
Detect provider usage limits, save verified task state, preserve stop markers and hand over cleanly without confusing account limits with model quality.