Gabe Newell left Harvard to join Microsoft, where he worked on early Windows releases and a Windows 95 port of Doom. In 1996 he co-founded Valve, led development of Half-Life and built Steam into the dominant PC game platform. He now owns Valve and several research ventures, and is one of the richest figures in gaming.

The author argues that four specific books taught them more practical skills than a four-year degree ever did. They break down how Naval Ravikant’s wealth principles, Alex Hormozi’s pricing framework, Michael Gerber’s business systems, and Nicolas Cole’s online writing tactics reshaped their approach to building and scaling an online business.

Traditional start-ups follow a rigid plan—write a business plan, pitch investors, build a product, then sell. The lean start-up method flips that sequence: you build minimum experiments, measure customer feedback, and iterate, which sharply cuts the 75% failure rate.

This article outlines various programs offered by Innovating with AI, designed to help individuals leverage AI in their careers. It highlights courses for becoming an AI consultant, enhancing professional value, and building AI-powered businesses. The founder, Rob Howard, shares his extensive tech background and the benefits of joining their community.

This article explores Demis Hassabis's journey from a failed video game to founding DeepMind, highlighting the thin line between conviction and delusion in entrepreneurship. Author Sebastian Mallaby discusses key lessons from Hassabis's experiences and how they relate to investment and innovation in AI.

The article explores how Silicon Valley's focus on "Exit" as a guiding ideology undermines its cultural significance and responsibility. It argues that the technology industry has become disconnected from its cultural roots, leading to societal issues like homelessness and a lack of engagement with broader American values. The author calls for a deeper understanding of cultural meaning in entrepreneurship to reclaim influence and purpose.

Despite the popularity of startup accelerators, 99% fail to meet expectations due to a lack of effective mentorship and experience among their founders. Successful accelerators like Y Combinator thrive because their leaders possess firsthand knowledge of building billion-dollar companies, which is often missing in most programs. The distinction between true accelerators and startup schools is crucial for understanding their impact on startups.

After nine years of steady growth as a solopreneur, the author's income from their product, SaaS Pegasus, has dropped significantly for the first time. This downturn has prompted reflections on personal and business identity, leading to considerations of returning to the workforce while grappling with the implications of AI's impact on their product's future.