How To Build The Future

Altman calls this the best time yet to start a technology company, since major shifts such as AI can give upstarts an advantage over large companies. He sees abundant intelligence and energy as foundations for progress in both ideas and physical work. He says progress toward superintelligence could continue compounding for years, while acknowledging that this is a hope and a guess.

Altman recalls that OpenAI openly aimed for AGI when that goal seemed implausible to many in the field. The team believed deep learning improved with scale and concentrated on those ideas despite having fewer resources than DeepMind. He says conviction helped guide action when evidence was limited, but teams should change course when results show they are wrong.

Altman says he was drawn to people who felt free to try things rather than accept how things were. He credits YC’s founder community with giving him ambitious peers, and advises young people to find that kind of group early. His first company, Loopt, did not find product-market fit, but gave him a rapid education in building a startup and navigating a platform shift.

Altman describes OpenAI’s early research as a series of bets and detours, including unsupervised learning, reinforcement learning, robots, and video games. He says GPT-4 was a moment when the team saw strong potential, but customer response was the real test: users quickly asked for more GPUs. He also describes OpenAI’s current work as more focused, with clearer research, infrastructure, and product goals helping the company move faster.

Altman outlines five levels of AI capability: chatbots, reasoners, agents, innovators, and systems that can perform at the scale of an organization. He advises founders to build with AI because models are improving and startups can react faster than companies tied to quarterly planning. He cautions that an AI demo is not a business: founders still need to create a valuable product and a competitive edge.