AI’s recursive self-improvement might not come so quickly after all
Large language models can write code, generate synthetic training data, and optimize computer chips they run on. Forecasts predict recursive self-improvement is approaching, though the AI industry's boldest promise about rapid autonomous improvement may not materialize quickly.
Read full story →GLM-5.3 hits the API at $1.4/$4.4 per million tokens
GLM-5.3, a language model from Chinese startup z.ai, is now available via API at $1.40 per million input tokens and $4.40 per million output tokens, matching GLM-5.2 pricing. The model features cached input costs of $0.26 per million tokens with free storage currently available for a limited time.
OpenAI Puts $5M Behind AI Training and Tools for National Security Oversight Bodies
OpenAI committed $5 million in training, technical support, and credits to government oversight bodies for national security AI use over the next year, starting August 18, 2026. The initiative targets institutions with established legal oversight authority over national security work.
85% of companies burned by an AI mistake are racing to cut the humans who might catch the next one
Nearly half of companies surveyed experienced AI agents that passed testing but failed in production, yet 85% are moving toward removing humans from deployment decisions. Trust in automated evaluation rose from 5% to 13% between June and July, even as 49% of respondents reported customer-facing failures from tested AI features.