state-of-ai

The state of open source AI report by Mozilla highlights that open-weight models have reached parity with closed models on many tasks, while inference costs have dropped 50× in 36 months. The majority of production tokens now route through open models, and the competitive landscape has shifted to the agentic layer above.

Sharing the new 'State of AI' slides from azeem and ExponentialView, all 66 pages, with some excerpts.

Max Lamparth discusses the evolution of AI, the misunderstanding of AI as a monolithic technology, where AI creates real value (e.g., code, math, drug discovery) versus hype, and the importance of trust and reliability in high-stakes settings.

An analysis of the expected state of AI in 2026, covering key trends and developments.