1. Will The Anti-obesity Wonder Drugs Work Wonders For The US Economy? by James Pethokoukis at Faster, Please!. A look at the potential economic impact of Ozempic and co.
  2. Can You Make Gains In A Calorie Deficit? Recomp (losing fat while gaining muscle) is easier for untrained and overweight individuals. In deficits smaller than 500 calories one can still gain some fat-free mass (i.e. recomp), while deficits larger than 500 calories generally led to losses of fat-free mass. Strength gains were not negatively impacted by deficits.
  3. How Is AI Changing the Science of Prediction? Podcast by Quanta Magazine with Steven Strogatz and Emmanuel Candès . An interview about black boxes, uncertainty and the power of inductive reasoning.
  4. AI Eats the World presentation by Ben Evans. Evan’s annual presentation about the biggest changes in the tech industry. This year – of course – Artificial Intelligence (again).
  5. Trustworthiness in the Age of AI by James Kirk. Current AI has many features that deviate from the technology we’re used to. Their differing way of handling information means we need to have clear structures to our trust of their output. “LLMs only hold their “knowledge” in the weft and wend of the weights and probabilities inside their minds. When asked, an LLM may regurgitate the facts that were contained in its training data, or it may regurgitate something entirely false that sounds just like those facts. Knowledge, for LLMs, is inconcrete.”
  6. Strength Data Don’t Tell You Much About Hypertrophy by Greg Nuckols. Strength and hypertrophy are often correlated, but Nickolas argues that strength is a much worse predictor of hypertrophy than often assumes. As always, his argument is data-heavy.