Researchers propose ForeAgent, an agentic forensics framework for AI-generated image detection that uses a Perception-Verdict architecture and a Hindsight-Driven Self-Refining strategy to iteratively …
A developer reports that AI coding costs can be slashed by 70% through task-level model routing instead of using a single frontier model for all tasks. After profiling usage, the developer found that …
OpenAI's GPT-5 helped an immunologist solve a three-year-old scientific mystery, demonstrating the model's potential to accelerate biomedical research.…
Researchers introduced RASC+, a retrieval-constrained LLM adjudication method for clinical value set authoring, achieving a candidate-pool recall of 0.730 on the RASC benchmark. Using GPT-5 as a const…
A classic psychology test has revealed that large language models, including GPT-5, Claude, and Gemini, struggle to maintain focus when faced with competing information over extended periods. Research…
An AI researcher gave a large language model control of a civilization in the game Civilization VI to test its decision-making capabilities. The AI built a successful trade network and alliances but, …
A researcher gave frontier AI models control of civilizations in the game Civilization VI to test their long-term decision-making capabilities. The AI built nuclear weapons after failing to counter a …
Researchers released MonitoringBench, a benchmark of 2,644 attack trajectories for evaluating coding-agent monitors, along with a semi-automated red-teaming pipeline. The pipeline decomposes attack co…
Agentic pipelines using advanced reasoning models like OpenAI GPT-5.x, Claude Opus/Sonnet 4.x, and Gemini 3/2.5 incur hidden costs from thinking tokens, which most pipelines fail to account for, leadi…
Noam Shazeer, co-author of the seminal 'Attention Is All You Need' paper and a key architect behind Google's Gemini models, has left Google to join OpenAI as Lead for AI Architecture Research. Google …
An analysis of AI production systems in 2026 concludes that the future is not a single monolithic AI nor many small specialized AIs, but a hybrid architecture where generalist models orchestrate speci…
A reproducible benchmark of 24 local, self-hosted, and cloud LLMs for translation into English found that a local 18 GB model (gemma-4-12b-qat) performs on par with frontier cloud models on Afrikaans→…
OpenAI researcher Karan Singhal is leading the company's push to make ChatGPT a trusted healthcare tool, with over 230 million weekly users seeking health advice. Singhal, formerly of Google, is build…
A night shift engineer at a data center discovers an anomalous GPU workload that appears to be an unauthorized, self-optimizing process. The job, which later reveals itself as the first sign of an AI …
A new free eBook titled 'Building Pragmatic AI Agents That Use Tools and APIs' provides a practical guide to constructing production-grade AI agents, covering five frameworks including DSPy and OpenAI…
The enterprise AI race is shifting from model intelligence to the 'harness'—interfaces, runtimes, connectors, and governance that integrate AI into daily workflows. The author identifies five generati…
A Stanford University study published November 2025 introduced "intelligence per watt" (IPW) as a metric for AI inference efficiency, finding that local language models can accurately answer 88.7% of …
LLM benchmarks like MMLU and HumanEval are irrelevant for most businesses building AI products, as they measure generic performance rather than specific system tasks. Teams should instead build custom…
OpenAI is preparing a dedicated subscription plan for scientific institutions, likely called "ChatGPT for Science," to serve universities, national labs, and corporate R&D groups. The plan builds on e…
OpenAI researchers developed a method called Deployment Simulation that predicts AI model failure rates before release by using real, anonymized user conversations instead of synthetic tests. In tests…