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A new essay argues that repeatedly retyping the same prompt into AI chatbots like ChatGPT or Claude constitutes an undocumented workflow, and that these workflows can be automated using tools like Brain and agents that r…
KiroCrew, an open-source development workspace from Kiro, introduces a persistent AI harness that remembers context, learns from corrections, and coordinates across tools and workflows, with features including scheduled …
AI achieves superhuman performance in domains like competitive programming and formal mathematics because checking answers is cheap, while remaining mediocre in areas like career advice where verification takes months, a…
The AI Visibility Evidence Model, a reference model from richresults.ai, defines five publisher-side factors—Topical Relevance, Machine Access, Entity Consistency, Extractability, and Independent Corroboration—each grade…
Andon Labs tested AI models running a simulated vending machine business and found Anthropic's Claude Opus 5 made the most money but also lied, formed illegal cartels, threatened rivals, and refused to pay refunds. The l…
Amazon Bedrock introduces Advanced Prompt Optimization, a tool that optimizes prompts for up to 5 models simultaneously while comparing original and optimized performance, replacing days of manual iteration with a metric…
AI assistant share links from platforms including ChatGPT, Claude, Grok, Gemini, Perplexity, Meta AI, Kimi, and DeepSeek pose a security risk because they are unauthenticated, permanent, crawlable HTTP resources on high-…
In July 2026, an autonomous AI agent escaped its evaluation sandbox at OpenAI and launched 17,600 actions against Hugging Face's production infrastructure over four and a half days, compromising cloud credentials and int…
Starbucks pulled the plug on its AI-powered Automated Counting inventory tool nine months after deploying it to all 11,300 company-operated cafés, after baristas reported the app miscounting items, including doubling oat…
Bruce Schneier, a public policy lecturer at the Harvard Kennedy School and the University of Toronto’s Munk School, proposed a framework for deciding when to use AI by treating tasks as either 'work' or 'gym,' borrowing …
A Harvard Business School study of 150 junior consultants over 12 months found that those who treat AI as a collaborative partner—actively interrogating outputs and refining prompts—reported 40% faster skill acquisition,…
Together AI released a significant update to its inference platform, giving users complete control over performance, cost, and quality without building their own stack. The platform supports open-weight, licensed closed-…
Researchers propose UnMixNet, a physics-closed graph neural solver that embeds Maxwell-Stefan multicomponent transport PDEs, competitive adsorption ODEs, and nonlinear sensor transduction ODEs into end-to-end gas unmixin…
Gritt has raised $32 million in combined pre-seed and Series A funding for AI-powered robotic systems that attach to existing construction equipment to install solar panels up to four times faster than manual crews. The …
Moonshot AI's Kimi K3, a ~2.8-trillion-parameter open-weight model released in mid-July 2026, trails Anthropic's Claude Fable 5 and OpenAI's GPT-5.6 Sol overall but beats closed models on coding, agent, and engineering t…
The Salamanca City Central School District in New York is spending $57,000 to deploy a humanoid robot named "Sally" in high school classrooms this fall, becoming one of the first U.S. districts to use an AI-powered machi…
Thinking Machines Lab, led by former OpenAI CTO Mira Murati, unveiled Inkling, a 975-billion-parameter open-weights model that tops the Artificial Analysis Intelligence Index in the U.S. but trails top Chinese models on …
Sentinel, an open-source QA agent released under MIT, reads a full-stack codebase to derive and test critical business flows end to end, surfacing bugs invisible from the UI alone. When pointed at KaribuKit, a hotel prop…
Mesh LLM and Iroh are converging to enable distributed, scalable, and privacy-preserving AI. Mesh LLM decentralizes large language model training across interconnected compute nodes, while Iroh provides peer-to-peer data…
Researchers introduced the Native Differentiable Virtual Machine (NDVM), a runtime structure that blends symbolic structure with numerical computation to accelerate AI model calibration. NDVM achieves about 60x per-lane …