Daily
10 selected stories for 2026-07-13, grouped by topic. The rest is folded into the archive.
Singer Lorde criticized AI glasses during her set at the Real Cool Festival in Madrid, likely targeting sponsor Ray-Ban's Meta smartglasses. She expressed difficulty distinguishing real from fake and explicitly said 'fuck the glasses, not sexy.'
OpenAI and Anthropic build ever-larger models, but companies like Microsoft are turning to smaller, specialized models for cost and efficiency. Microsoft's MAI family is replacing OpenAI models in its products.
Microsoft is testing PC Insights, a new Copilot feature that analyzes system resource usage to help users identify performance bottlenecks. However, Copilot itself is a full web app with a private Edge instance, consuming up to 1GB RAM at idle, highlighting the irony. The feature is opt-in and requires user permission.
exxperts is a local-first agentic runtime that provides persistent AI rooms with governed, approval-gated memory. Everything runs locally as files on your disk, ensuring privacy and control. It offers both a web app and a CLI/TUI interface.
Kote is an open-source tool that automatically captures developer conversations with AI assistants, Git commits, and development context, building a searchable knowledge base to help developers recall past technical decisions and solutions. It supports VS Code extension, GitHub integration, CLI, browser extension, WhatsApp/Telegram messaging, and self-hosted deployment.
The one-step trap is a common mistake in AI research where researchers assume that learned predictions can be mostly one-step, with longer-term predictions generated by iterating them. While appealing, this approach suffers from error accumulation and exponential computational complexity, making it impractical. Rich Sutton argues for temporally abstract models using options and GVFs as a solution.
This essay explores the critical role of 'useless' research in enabling future innovations. Using Folk Computer as a case study, the author traces a lineage from Xerox PARC to Dynamicland, and argues for funding paradigm-level work before it becomes useful.
AI performance depends on three dimensions: accuracy, throughput, and interactivity. This post focuses on throughput and interactivity, examining how model-design choices can optimize both without sacrificing accuracy, aiming to push the Pareto frontier outward.
Open-source AI faces its most serious viability test. White House discussions on executive orders to restrict open models, plus policy debates on distillation and frontier capabilities, could lead to a ban on advanced open-weight models within 6 months. The article critiques Anthropic's regulatory capture, argues that API security is overblown, and warns that a ban would harm the US open-source ecosystem. Short-term solutions include US companies releasing competitive open models and building coalitions.
Soulless is a community-driven project that exposes AI-generated artists on Spotify. It lists 232 detected AI artists with monthly listeners and estimated earnings. It also provides an open-source AI music detector and a curated landscape of AI music resources.
The author evaluated GPT-5.6 Sol, Fable 5, Grok 4.5, and other AI models on a benchmark called Basecamp Bench, testing their ability to build a frontend and backend from the same specification. Fable 5 won both tracks, while Grok 4.5 offered the best speed-cost tradeoff. Results show significant differences in polish and completeness, especially in the final 10% of work.
OpenAI's AI agent solved all five problems in the AtCoder Algorithm Division for 8,300 points; the top human scored 4,300. No human solved problems C or E. In the Heuristic Division, AI scored more than seven times the best human result. The 600,000-yen 'Humanity Prevails Award' went unclaimed. The system was described as comparable to GPT-5.6.
In a roundtable discussion, writers and cultural critics explore the profound implications of AI on language, creativity, and society. They note that AI both sharpens and dulls linguistic abilities, and may clarify the boundary between machine and soul. Despite anxieties, AI offers opportunities in research, accessibility, and diagnostics.
Researchers have compiled a database of over 3,000 bank runs from 1863-1934, revealing that most runs did not lead to failure, and analyzing geographic and temporal patterns.
Samsung Health now requires users to consent to using their health data for AI training, or lose the ability to sync data, potentially rendering the app and Galaxy Watch less useful.
Apple's self-driving car program never really got off the ground, but it may have been what made the company's chips the powerful AI performers they are. Early in the development of the self-driving platform, Apple realized that it would need powerful on-device AI processing. While the car processor was never finished, as Mark Gurman details in his latest Power On newsletter, it did lead to the development of the Neural Engine, the backbone of Apple's on-device AI processing. The Neural Engine made its debut with the iPhone X and the A11 Bionic. In those early days, it was primarily used for computer vision, powering FaceID, Animoji, and a … Read the full story at The Verge.
Many developers fail to maximize automatic programming because they still focus on code, making themselves the bottleneck. Time should be invested in new ideas, QA, design, and clarifying goals.