Weekly Reads
A space where we share a selection of thought-provoking content that we've recently come across.
The Thinking Game
An insightful documentary following Demis Hassabis and the Google DeepMind team’s20-year quest to solve Artificial General Intelligence (AGI). The story culminates in theAlphaFold breakthrough, which solved the 50 year-old protein folding problem, providinga tool that can predict the structure of every known protein to accelerate drug discoveryand disease research.

The Knowledge Project: Peter Kaufman — The Multidisciplinary Approach to Thinking
A transcript of Peter Kaufman’s speech to the California Polytechnic State University PomonaEconomics Club. There is a simple takeaway: true understanding requires a multidiciplinaryapproach, as mistakes stem from the blind spots of specialization. Kaufman identifies twofoundational Big Ideas: 1) Mirrored Reciprocation (go positive and go first), and 2) ComooundInterest (being constant).

First of Kind: The Joe Gebbia Interview
Airbnb co-founder Joe Gebbia has been appointed as the first ever Chief Design Officerof the United States to lead the National Design Studio, a new federal office focused onoverhauling the “digital front door” of the government. Gebbia is recruiting a dream teamof 12 to 15 elite designers to modernize critical platforms like Social Security andMedicare, viewing it as a Manhattan Project for the digital age.

Lloyd Blankfein on AI, Private Credit, and Politics
Former Goldman Sachs CEO Lloyd Blankfein warns that global markets have entered a"late-stage" cycle where a lack of discipline has made a "cleansing" or reckoning inevitable to remove years of "bad blood." He specifically cautions against the trend ofmigrating opaque, illiquid assets like private credit into retail retirement accounts. Whileinstitutional players can absorb significant losses, Blankfein notes that the political andsocial consequences of wiping out "real people" are far more catastrophic.

The Ride of Prediction Markets
Prediction markets are no longer a niche hobby; they are a professionalized asset class.Platforms like Polymarket and Kalshi have entered the financial mainstream, allowing"sharps" to monetize forecasting through statistical modeling and unconventionalresearch. However, the "wisdom of the crowd" remains top-heavy: fewer than 0.04% ofPolymarket addresses account for 70% of all profits. This stark concentration invites acritical question: is this the future of transparency, or a new frontier for insiderinformation?
