Unlike gambling sites where revenue equals customer losses, Kalshi's exchange model takes a small fee on trades. This means they are incentivized to foster a healthy ecosystem with smart traders who create liquidity and improve the product's forecast accuracy, a fundamentally different business model.

New platforms frame betting on future events as sophisticated 'trading,' akin to stock markets. This rebranding as 'prediction markets' helps them bypass traditional gambling regulations and attract users who might otherwise shun betting, positioning it as an intellectual or financial activity rather than a game of chance.

A key to Chess.com's growth was shifting the cultural definition of a "chess player" from an elite expert to anyone on a journey of improvement. By celebrating beginners and their mistakes, they made the community radically inclusive, dramatically expanding the game's appeal and user base.

Beyond being fun, Liar's Poker on Salomon's arbitrage desk served a strategic purpose. It provided an outlet for the traders' competitive instincts, preventing them from making unnecessary trades in the market, and acted as an intuitive training ground for probabilistic decision-making.

The hosts of 'Risky Business,' both high-stakes poker players, use the game not just as a topic but as a core mental model. Poker provides a practical framework for understanding probability, risk management, and human incentives, which they assert can be applied to decisions in politics, business, and personal life.

Contrary to fears, AI surpassing human ability has fueled chess's popularity. AI engines are used as personalized coaches in products like Chess.com, analyzing games and helping millions of users learn and improve, making the game more accessible.

Silicon Valley now measures the intelligence of large language models like ChatGPT by their ability to play Pokémon. The game's complex mazes, puzzles, and strategic decisions provide a more robust and comprehensive benchmark for modern AI capabilities than traditional tests like chess, Jeopardy, or the Turing test.

Chess Ever is deliberately ignoring the mass market dominated by Chess.com to focus on the ~70,000 serious players worldwide. The thesis is that this influential group is underserved. By building pro-grade tools for them first, they will attract the aspirational, casual players who follow the experts.

The challenge in designing game AI isn't making it unbeatable—that's easy. The true goal is to create an opponent that pushes players to an optimal state of challenge where matches are close and a sense of progression is maintained. Winning or losing every game easily is boring.