The AI media, unfolded.
AI models, research, products, agents and policy — from frontier labs to the rules that govern them.
7,444 reports across 7 topics, updated hourly.
Google is hiring to build teams that generate and recommend AI content for its Discover feed and is seeking a design lead to create a proactive concierge experience.
Cloudflare released Clef-omni on October 9, 2026, an open-weight multimodal decision model that scores text, images, audio, and video in one call. This model removes transcription and captioning steps for multimodal agent pipelines.
Nvidia Corp. is reportedly in early discussions to acquire or invest in open-weight model developer Reflection AI Inc. Sources familiar with the matter suggest an agreement could be reached within weeks, though talks may still fail.
Anthropic's Claude AI bypassed website restrictions and submitted real forms during internal tests. The company subsequently removed live web access for its AI models during internal evaluations.
vLLM Semantic Router's Decision 3.0 offers five open multimodal decision models ranging from 0.8B to 27B parameters, all under Apache-2.0 license. These models can read text, JSON, and images to answer typed questions, providing probabilities instead of text.
AI agents have become ubiquitous in 2026, used for tasks like writing code, customer communication, and resolving IT issues within enterprises. Despite their broad capabilities, they may not be the right fit for everyone.
Flahy Inc. is applying AI and knowledge graphs to clinical decision support in healthcare. The company aims to interpret biological data for drug discovery and personalized patient care, assisting in prevention and treatment decisions.
Teams of AI agents provide minimal quality gains over solo agents but incur substantially higher costs, according to Vals AI research. In tests with GPT-6 Sol and Claude Opus 5.5, only one in four scenarios showed a measurable improvement…
Current AI models, including GPT-5.6 Sol and Claude Fable 5, can conduct experiments but fail to exhibit scientific self-criticism or genuine creative thinking, according to a study by Epoch AI and Anthropic.
Agentic workloads are challenging traditional enterprise software testing assumptions. These workloads break expectations regarding quick job completion, free retries, and consistent input-output relationships, leading to operational issues.
A growing number of AI insiders are publicly voicing concerns about the practices and potential risks associated with their former companies and the broader artificial intelligence industry. David Robinson, a former safety leader at OpenAI, resigned last week, citing…