Sam Altman: “1. The intelligence of an AI model roughly equals the log of the resources used to train and run it. These resources are chiefly training compute, data, and inference compute. It appears that you can spend arbitrary amounts of money and get continuous and predictable gains; the scaling laws that predict this are accurate over many orders of magnitude. 2. The cost to use a given level of AI falls about 10x every 12 months, and lower prices lead to much more use. You can see this in the token cost from GPT-4 in early 2023 to GPT-4o in mid-2024, where the price per token dropped about 150x in that time period. Moore’s law changed the world at 2x every 18 months; this is unbelievably stronger. 3. The socioeconomic value of linearly increasing intelligence is super-exponential in nature. A consequence of this is that we see no reason for exponentially increasing investment to stop in the near future.”
Andy Kessler: “As happened with operators, tellers, travel agents and so on, jobs lost are replaced by new and better-paying jobs in emerging industries. Every time. Yes, AI is now going after white-collar jobs with a vengeance, but that means freeing up capital to fund new technologies that don’t yet exist (laundry folding robots, please). McKinsey projects that “8 to 9 percent of 2030 labor demand will be in new types of occupations that have not existed before.” Eventually, AI will enable 25% and then 50% of productive but never-existed-before new jobs. Beats $20 a month for email bullet points.”
The Generalist on the Jeff Bezos playbook: “Aggressively overserve customers, but don’t be a fool. Invent constantly and encourage failure. Collaborate with your enemies so you can more easily crush them. Get big fast, then starve out your rivals. Think from primitives, then control them. Hide the gold mine. Attract missionaries with a call to adventure. Cultivate insecurity to maintain high standards.”
Economist: “Tech bosses say the tech will be a great equaliser. Instead, it looks likely to widen social divides…Today’s AI tools are just the beginning. As the technology grows more sophisticated, semi-autonomous agents capable of acting independently—of the sort envisioned by Mr Huang—may transform workplaces. That might make every worker a CEO of sorts, just as the Nvidia chief executive has predicted. But there will be no levelling-out: the most talented will still make the best CEOs.”
Samir Varma: “When you’re trying to change a habit or behavior, understand that you’re essentially reprogramming a complex computational system. Small changes in initial conditions — like putting your running shoes by the door or removing social media apps from your phone — can lead to vastly different computational outcomes. This view of the brain also helps explain why meditation and mindfulness can be so powerful. These practices aren’t about controlling your thoughts (which is impossible) but about observing the computations as they happen, creating new patterns that influence future computations. The next time you can’t decide what to have for dinner, remember that your uncertainty isn’t a bug — it’s a feature. It’s evidence that your brain is performing computations so complex that even you can’t predict their outcome. And that complexity, that unpredictability, is exactly what makes you free.”
