OpenAI and Anthropic formally swapped access to their frontier models for cross-lab safety evaluations in early summer 2025, with results published between August 27 and 29, marking the first time two…
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…
Researchers propose WebGrader, a self-evolving programmatic grader that trains large language models for web development by autonomously deriving interaction flows as executable Flow Contracts and usi…
Microsoft Research released EvoLib on July 30th, a test-time learning framework that enables large language model agents to improve across tasks without updating their underlying weights. The framewor…
A new method called Lookahead-Enhanced Atomic Decomposition (LEAD) breaks the no-recovery bottleneck in long-horizon reasoning for Large Language Models, enabling the o4-mini model to solve Checkers J…
OpenAI research published in September 2025 and appearing in Nature shows that training language models for accuracy incentivizes hallucinations because benchmarks reward confident answers and penaliz…
A new wave of long-horizon agent benchmarks, including Agents' Last Exam, SWE-Marathon, the Meta-Agent Challenge, and Arena's Agent Mode, reveals a fundamental trade-off between realism and verifiabil…
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…
Researchers introduced PrologMCP, an open-source server that exposes Prolog as a stateful tool through the Model Context Protocol, enabling LLM agents to delegate deductive reasoning tasks to a symbol…