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Don't try to anticipate anything. You will literally go crazy. Because even the smartest brains in the business cannot anticipate what two model hops from here is going to look like. It's an absolute waste of time, and you will develop an AI psychosis trying to deduce what two years from now is gonna look like. Focus on right now, and right now is the most incredible time to be into computers.
Alzheimer's disease does not necessarily equal dementia. people can have Alzheimer's disease and not get dementia. So, we found this out from post-mortem studies. People have been followed as they age. Uh they've donated their brains and it turns out that perhaps 20 to 30% of these individuals who never had dementia have Alzheimer pathology.
And so when you look inside these big AI models, the mathematical objects that you see look a lot like the things that you see in neuroscience. So if you look at how do how do these AI models represent um just like represent concepts and you look at the parts of the brain that represent concepts, you see these you see very similar geometry.
I'd bet we learn more about our own brains from building a thousand AIs under a real theory of intelligence than we've learned from a century of neuroscience.
Software is kind of unique in having the third kind of the practitioner conference where we are just meeting to get better at what we do. We also are really the only kind to really focus heavily on like open source in making our knowledge freely available.
I think a large part of the problem of why it's hard for us is because you don't get a lot of practice. Usually when you have a race condition in a system, you find out months later and then you try a fix and you find out weeks later after that if the fix actually worked.
Whereas aerobic exercise on that kind of intensity spectrum we just talked about seems to particularly benefit the gray matter which includes the hippocampus. Resistance training seems to particularly benefit the white matter.
and you found that these nuns, how they aged, some of them certainly when they passed away, their brains had these kind of hallmark signs of dementia, plaques and tangles, but behaviorally they were still high functioning. So, it's really interesting that the hardware shows what we see as dementia and specifically Alzheimer's disease, but their behavior uh was that of a fairly healthy cognitive person.
And I believe the best product CEOs are in the minutia of the details. you know, all the stories about Steve Jobs. I was so impressed when I heard that he insisted on picking out the carpeting in the conference rooms, you know, and and I tried to have that same mentality of micromanaging the really small pixel level details that matter.
So I'm looking at this like guys the fundamentals of this isn't like everything is going to change because of MCP. What the hell? A whole conference guys? This is just API design.
Honestly, if the team doesn't sign off on it, it doesn't happen. I mean if something is really contentious contentious or really big it will probably end up being discussed at a conference for example.
Often people in industry I feel like sort of have short circuit reasoning. Like don't maybe don't quite reason something through from first principles but just like oh I heard this from a conference talk I'm just going to go with that
I do think we should expect more speciation in the intelligences. Um like, you know, the animal kingdom is extremely diverse in the brains that exist and there's lots of different niches of of nature and some animals have overdeveloped visual cortex or other part kind of parts and I think we we should be able to see more speciation and um you don't need like this oracle that knows everything.
You don't call uninformed. You call knowing as much as there is to know and then you start picking the brains of people who might know more and have not said.
What I say in the book is is that you don’t want to remember more, you want to remember better, which means focusing on the things that are important. That’s what our brains are designed to do.
For the most part, it’s like these names are just utterly arbitrary, so you have no thing to latch on to. It’s not really a thing that our brain does very well to learn meaningless, arbitrary stuff. So what you need to do is build connections somehow, visualize a connection, and sometimes it’s obvious or sometimes it’s not.
I think this is one of the biggest things that physics can help with, and it’s an obvious kind of low-hanging fruit situation where the heat generation, the inefficiency, the waste of existing high-level computers is nowhere near the efficiency of our brains. It’s hilariously worse, and we haven’t tried to optimize that hard on that frontier.
We do know that humans are doing something different from these models, in part because we're so power efficient. The human brain does remarkable things and it does it on about 20 watts of power. And the AI techniques we use today use many kilowatts of power to do equivalent tasks.
Redness is not "objective" in the sense of being "in the object", it only exists in the models generated by the sort of brains which are hooked up to eyes.
We’re actually going to build that, I think, but it’s not going to be one static tape. I think the human brain is too complex to be stuck in one static tape like that. If you look at ant brains, maybe they can be stuck on a static tape, but we’re going to build that using generative models. We’re going to build the TikTok that you actually can’t look away from.
The problem is, when humans went bipedal, our pelvises got smaller, and as humans got smarter, our heads got bigger. So evolution had to get creative. Its solution: all human babies would be premies, born when they were still small enough to pass through a human pelvis.
Many films are the most fun the first time because a part of our brains loses itself in the plot and actually experiences what the characters are experiencing, to an extent.
This book stretched my mind more than almost any other book I’ve read. It’s tough at parts, it’s long, but you’ll come out of it thinking about brains, minds, intelligence, and AI in an entirely new way.
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