Ethan Mollick's AI tool guide shifts from chat models to agentic systems, but the confusing names of ChatGPT Work and Claude Cowork reveal a larger UX issue, as Simon Willison points out.
Meta engineers reveal how a seemingly simple 'Friend Bubbles' feature required complex ML models and cross-platform behavioral insights, uncovering design principles for large-scale social recommendation systems.
WebRTC's packet-dropping mechanism for low latency fundamentally conflicts with AI voice interaction's core need for prompt accuracy, where users prefer waiting over receiving garbled input.
The article highlights a cognitive gap between tech elites with 'software brain' and the general public, arguing that AI's popularity hasn't made people yearn for automation, but rather反感 its flattening of human experience.