Human-computer interaction, or HCI, is the field concerned with how people use and experience computing systems. It combines computer science, design, psychology, ergonomics, and social research to create interfaces that are effective, understandable, accessible, and safe. In AI products, HCI addresses how users express intent, interpret uncertain outputs, correct errors, calibrate trust, and retain control when automation behaves unexpectedly. Researchers use interviews, observation, prototypes, experiments, and usability studies to test designs in context. Good HCI does not simply make a model easier to access; it helps align the entire interaction with real human capabilities, limitations, goals, and responsibilities.
Pavel Rabtsevich used Claude Code to investigate a possible planet 116 light-years away. TESS has approved follow-up observations, but discovery is unconfirmed.
Anthropic’s new policy bans extreme, repeated abuse of Claude from November 12, while excluding ordinary frustration, disagreement, fiction and testing.
Jeff Bezos says AI could let families live on one income or work three days a week, but has offered no timetable or plan for sharing the gains.
Manus raises more than $500 million in its first funding round since separating from Meta, with Boyu Capital and IDG Capital leading the financing.
Claude Haiku 5.5 cuts costs for everyday AI tasks, with API rates up to 20x below Sonnet and Anthropic-reported benchmark gains over GPT-6 Luna.
Google’s SynthID Detector is now available globally for image, video and audio checks. It detects supported AI watermarks, rather than proving a file is real.
Google Playground turns prompts into browser games without coding. Unity Spark will add a more advanced creation path, with a closed beta coming soon.
OpenAI has released 722 mathematics manuscripts from an unreleased AI model, with many Lean proofs available and some results still awaiting verification.
BlackRock sees stablecoins as a potential payment method for AI agents buying data and compute, while the Bitcoin savings thesis rests on simulations.
Arthur Hayes argues an AI investment bust could bring rescue liquidity for Bitcoin and cheaper compute for agents, while pitching his developing FLOP network.