OpenAI Publishes Developer Guide for GPT-5.6
OpenAI has published a guide to help startups build faster, more cost-effective AI agents using GPT-5.6. The guide focuses on smart model selection and new capabilities in the Responses API.
OpenAI has published a guide to help startups build faster, more cost-effective AI agents using GPT-5.6. The guide focuses on smart model selection and new capabilities in the Responses API.
According to Hugging Face's summer 2026 report, Chinese labs pulled ahead with trillion-parameter open models while U.S. open-source leadership shifted from model labs to hardware makers.
AWS's open-source Strands Robots SDK, combined with the LeRobot data format and Hugging Face Storage Buckets, unifies robot data recording, training, and deployment into a single agent loop.
In a hackathon organized by Hugging Face, 1,221 participants used coding agents to attempt to reproduce 2,226 papers accepted at ICML 2026.
UGM Indosat NVAITC, opened in Yogyakarta through a partnership between Universitas Gadjah Mada, Indosat, and NVIDIA, has become Indonesia's first university-based artificial intelligence technology center.
A new academic study finds that large language models (LLMs) used as judges frequently reverse their verdicts when faced with persistent pushback.
A new study by Xin Shu, Zhen Lei, and Ang Li proposes tighter bounds than existing ones for multivalued probabilities of causation.
Researchers developed a framework called SEAG that hides sensitive information before it is sent to third-party large language models. The system answers user queries accurately without exposing hidden data.
Researchers demonstrated that a multimodal system based on YOLO and CLIP can distinguish infected mosquitoes from video footage with high accuracy.
Google's new Gemini-powered Sheets canvas feature lets users turn spreadsheet data into interactive dashboards and mini apps without writing code.
Police technology company Flock is tightening search rules after backlash over misuse of its cameras. The company is expanding case number requirements and automated audit systems.
MIT Technology Review's interviews with teens aged 10-18 reveal a wide range of reactions to AI, from indifference to environmental concern.