1. Building Opinionated Products by Avi Siegel for UX Collective. Different people want different things, but it’s not possible to build a good experience for absolutely everyone — you’ll just end up with a messy, bloated product and a meh experience.
  2. Advancing Personal Health and Wellness Insights with AI at Google. Google developed a LLM for personalized health insights and recommendations, using wearable data, textual health information, and medical knowledge.
  3. Onboarding for Active Users at Laws of UX. The Paradox of the Active User is the tendency for users to never read manuals but start using the software immediately.
  4. The Collapse Is Coming. Will Humanity Adapt? by Peter Watts. A conversation between Sci-Fi author Peter Watts and evolutionary biologist Dan Brooks. “We’re hoping that people will begin seriously thinking that our short-term well-being is best served by thinking about our long-term survival.”
  5. Intentionally Slow Concentric Velocity Resistance Exercise and Strength Adaptations: A Meta-Analysis by Hermes and Fry (2023). This meta-analysis of 24 studies supports that strength development is faster with faster training velocities in the concentric part of the movement. Given that neural learning is more important for strength, explosive tempo is less important for muscle growth.
  6. Building AI Products by Ben Evans. “How do we build mass-market products that change the world around a technology that gets things ‘wrong’? What does wrong mean, and how is that useful?”
  7. Will We Run Out of Data? Limits of LLM Scaling Based on Human-Generated Data at Epoch AI. An investigation to see when AI training will run out of human-generated data.
  8. As China’s Internet Disappears, ‘We Lose Parts of Our Collective Memory’ at The New York Times. China has nearly one-fifth of the world’s online population, yet the number of websites using Chinese language make up only 1.3% of the global total. A lot of content and sites disappear.