Section
Surveys
Landscape surveys and state-of-the-field reports that map an entire category at once.
AI writing, AI reviewing and the verification bottleneck
Citation matching, technical criticism, executable checks and formal proofs answer different questions. A map of what AI review can establish.
World models, video generators and simulators serve different jobs
Interactive generation, cinematic video and physics simulation expose different controls and evidence. Here is how to match them to a task.
Top 10 AI models in October 2026, ranked by what they do best
Claude Opus 5.5 leads the independent indexes this month, but no single model is best at everything. Ten models, from $50-per-million-token flagships to MIT-licensed open weights, measured against published criteria, with the best pick for reasoning, coding, cost, long context, multimodal and self-hosting.
Top 10 open-weight models in October 2026, ranked
Xiaomi, Z.ai, Moonshot, Alibaba and DeepSeek now publish weights within a few points of the closed frontier. Ten models, ranked on Artificial Analysis and Arena scores, with the licence clause, parameter count and GPU budget that decide whether a team can actually run each one.
The state of open-weight licensing, mapped
Most flagship open-weight releases of the past year ship under Apache 2.0 or MIT. The exceptions carry user caps, revenue gates, prohibited-use policies and remote kill switches. This survey reads the licence texts, not the launch posts, and maps what each one actually permits.
LLM API pricing compared: OpenAI, Claude, Gemini, DeepSeek and Grok
Frontier models now cluster around $2 per million input tokens and $10 per million output tokens, but batch discounts, cache multipliers, long-context tiers and off-peak clocks move the real bill by an order of magnitude. Every price below comes from the providers' own pricing pages as of October 15, 2026.