Tej Pandya, founder of GrowEasy.ai, argues that vertical AI agents succeed by addressing three failure points general agents leave to users: multi-turn instruction drift, underspecified prompts, and a…
A Stanford University paper introduces Self-Organizing Agent Teams (SAT), a framework in which groups of AI agents learn collaboration strategies from as few as 15 AIME 2024 or 25 GPQA Diamond problem…
OpenAI retired the o3 model family from ChatGPT on August 26, 2026, ending a 90-day sunset period that began with the May 28 announcement, forcing developers and enterprises to migrate workflows to th…
A developer's guide outlines the three pillars for building production-ready AI agents: benchmarking, cost optimization, and tooling. It emphasizes task-level evaluation over static benchmarks, using …
Flinders University researchers found that next-generation reasoning large language models o3-mini and DeepSeek-R1 reproduce racial and gender stereotypes in medical content, with o3-mini showing sign…
Researchers at the 64th Annual Meeting of the Association for Computational Linguistics introduced a dual-task paradigm combining arithmetic and sentence comprehension to study how language models all…
A new METR paper finds that frontier AI models like GPT-5.5 can complete tasks that take humans about three minutes without any chain-of-thought reasoning, and this no-CoT time horizon has doubled rou…
A study published in the Journal of Medical Internet Research found that next-generation reasoning large language models o3-mini and DeepSeek-R1 frequently reproduced racial and gender disease stereot…