This episode originally aired on the Latent Space podcast. Mark Andresen has watched AI cycle through summers and winters for more than 35 years, from coding and LISP in 1989 to backing the foundation model companies today. He argues that the current moment is not another false start, but the payoff from eight decades

of foundational research, catalyzed by four distinct breakthroughs, large language models,

reasoning, agents, and self-improvement. He also makes the case that the combination of a language

model, a Unix shell, and a file system represent one of the most important software

architectures in a generation.

Swix and Alessio Finnelli speak with Mark Andresen, co-founder and general partner at A16Z.

Something about AI that causes the people in the field, I would say, to become both excessively

utopian and excessively apocalyptic.

Having said that, I think what's actually happened is an enormous amount of tactical progress that built up over time. And like, for example, we now know the neural network is the correct architecture. And I will tell you, like there was a 60-year run where that was like a, you know, or even 70 years or that was controversial. And so the way I think about what's happening is basically, I think about basically the period we're in right now is it's, I call it, 80 year overnight success, right?

Which is basically, I think about basically the period we're in right now is it's, I call it 80 year overnight success, right? Which is like, it's an overnight success because it's like, bam, you know, chat GPT hits

and then, you know, open, call hits and then, you know, open, these are like overnight,

like radical overnight transformative successes, but they're drawing on an 80 year sort sort of well-spring backlog, you know, of ideas and thinking. It's not just that it's all brand new, it's that it's an unlock of all of these decades of, like, very serious hardcore research. If I were 18, like, this is 100, this is what I would be spending all of my time on. This is like such an incredible conceptual breakthrough. Before we get into today's episode, I just have a small message for listeners.

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