Articles from interconnects.ai
7 kept
- Claude Fable 5 and new safety fables - by Nathan Lambert
Anthropic released Claude Fable 5 with uneven safety policies that silently suppress AI research queries, undermining trust and galvanizing calls for open-source alternatives.
- Open and closed models are on different exponentials
Closed AI frontier labs (Anthropic, OpenAI) will form an oligopoly selling premium intelligence to high-value users like coding agents, while open models will dominate broader commodity AI use across the economy.
- Notes from inside China's AI labs - by Nathan Lambert
Chinese AI labs leverage cultural humility, student integration, and practical focus to effectively fast-follow frontier models, contrasting with US labs' political conflicts and star-scientist culture.
- GPT 5.4 is a big step for Codex - by Nathan Lambert
GPT 5.4 improves agentic coding by removing hard edges, excelling in instruction-following and speed, though Claude retains an edge in warmth and charm.
- Opus 4.6, Codex 5.3, and the post-benchmark era
The latest coding models from OpenAI and Anthropic show marginal benchmark gains but real-world usability differences, with Claude ahead in product experience while Codex edges in coding capability.
- Use multiple models - by Nathan Lambert - Interconnects
To get the most out of AI in 2026, the author recommends using multiple models for different tasks as each model has jagged capabilities.
- 8 plots that explain the state of open models
Qwen dominates open-model downloads and finetunes globally, while DeepSeek leads in large-scale models and GPT-OSS is the only Western contender gaining adoption.