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Why God King Sam Altman is Unlikely: Who Will Capture the Value of the AI Revolution?
In this engaging discussion, Simone and the host explore the future of AI and its effects on the economy. They delve into questions about who will benefit most from AI advancements: large corporations or individuals using AI models. The conversation spans the significance of token layer versus latent layer in AI development, where major innovations may occur, and the potential for AI to achieve superintelligence. They also discuss the implications of AI on job training, investments, and societal transformation, along with a creative perspective on how AI can be harnessed for various purposes, including transforming industries. The duo imagines a future driven by interconnected AI systems and explores the philosophical aspects of AI mimicking human brain functions. Don't miss this thought-provoking episode that offers insights into the trajectory of AI and its profound impact on society.
Malcolm Collins: . [00:00:00] Hello Simone. I am excited to be here with you today. Today we are going to be focusing on a question, which is, as AI changes the way the economy works, who is going to be the primary beneficiary of this? Is it going to be the large companies that make and own the ais, or is it going to be the people using the individual AI models?
The, the I like we all know, for example, like in probably 10 years from now, there will be an AI that can, let's say, replace. Most lawyers, let's say the bottom 50% of lawyers.
Simone Collins: Well, and already studies have shown AI therapists perform better on many measures. There's, there's, it's already exceeding our capacity in so many places.
Malcolm Collins: Yeah. They, they introduced it to a Texas school system and it shot to the top 1% of, of student outcomes. So as we see this, where is the economic explosion from this going to be concentrated? Because this is really important in determining what types of jobs you should be looking [00:01:00] at these days, how you should be training yourself, how you should be raising your kids, where you should be investing.
The second question we're going to look at because it directly follows from the first question, okay, is, does the future of ai, when we're looking at the big world changing advancements that are going to come from it, are they going to appear on the token layer or at the latent layer? So can you define
Simone Collins: those differences?
Malcolm Collins: Yeah. So by this what I mean is. When we look at continued AI advancement, is it going to happen in the layer of the base model IE the thing that open AI is releasing and Claude is releasing and everything like that? Or is it going to be in the token layer, the people who are making wrappers for the ai?
For example, the Collins Institute is fundamentally a wrapper on preexisting ais. Our AI game company is a series of wrappers on ai. And if it turns out that the future of AI is in the token layer, it leans potentially more to, if not the big companies that are gonna capture the value [00:02:00] from this.
Mm. And then the next question we're gonna look at is the question of. What gets us to ai, super intelligence? And I might even start with this one because if we look at recent reports with ai, a big sort of thing that we've been finding is that especially with like open AI's 4.5 model is that it's not as advanced as people thought it would be.
It didn't get the same huge jump in capacity that people thought it would get. And the reason , is that pre-training IE. , the ways that you sort of train AI on the preexisting data before you do, like the narrow or like focus training after you've created the base model doesn't appear to have the as big an effect as it used to have.
So it was working on, I think, 10 x the information of model four and yet it didn't appear dramatically better. And so one of the questions is,
Published on 7 months, 3 weeks ago