locallynonlinear

It's a good interview, and I really like putting economics here in perspective. If I could pour water on AI hype in a succinct way, I'd say this: capability is again, not the fundamental issue in nature. Open system economics, are.

There are no known problems that can't theoritically be solved, in a sort of pedantic "in a closed system information always converges" sort of way. And there numerous great ways of making such convergence efficient with respect to time, including who knew, associative memory. But what does it, mean? This isn't the story of LLMs or robotics or AI take off general. The real story is the economics of electronics.

Paradoxically, just as electronics is hitting its stride in terms of economics, so are the basic infrastructural economics of the entire system becoming strained. For all the exponential growth in one domain, so too has been the exponential costs in other. Such is ecosystems and open system dynamics.

I do think that there is a future of more AI. I do think there is a world of more electronics. But I don't claim to predict any specifics beyond that. Sitting in the uncertainty of the future is the hardest thing to do, but it's the most honest.

I had a friend for many years who would do this. To be clear, this person was otherwise a decent friend and I had good times with them. But they would constantly declare, loudly, to everyone, how fat they were. They would make constant comments on how fat, their relatives were. They'd insist that other people were making special arrangements for them because of their fatness.

No matter how many times people would assure this person that we largely did not care or consider their weight as any factor in hanging out with them or interacting with them, they would deny it. No matter how many times I or anyone else carefully suggested that there may be some value in speaking to a therapist about their anxiety around their weight, they would not listen.

This same person would also complain how much fat shame society as a whole inflicts. But they refused to acknowledge their own.

It is sad, and infuriating, and it eventually pushed me and many other people away.

Adversarial attacks on training data for LLMs is in fact a real issue. You can very very effectively punch up with regards to the proportion of effect on trained system with even small samples of carefully crafter adversarial inputs. There are things that can counter act this, but all of those things increase costs, and LLMs are very sensitive to economics.

Think of it this way. One, reason why humans don't just learn everything is because we spend as much time filtering and refocusing our attention in order to preserve our sense of self in the face of adversarial inputs. It's not perfect, again it changes economics, and at some point being wrong but consistent with our environment is still more important.

I have no skepticism that LLMs learn or understand. They do. But crucially, like everything else we know of, they are in a critically dependent, asymmetrical relationship with their environment. The environment of their existence being our digital waste, so long as that waste contains the correct shapes.

Long term I see regulation plus new economic realities wrt to digital data, not just to be nice or ethical, but because it's the only way future systems can reach reliable and economical online learning. Maybe the right things happen for the wrong reasons.

It's funny to me just how much AI ends up demonstrating non equilibrium ecology at scale. Maybe we'll have that self introspective moment and see our own relationship with our ecosystems reflect back on us. Or maybe we'll ignore that and focus on reductive world views again.

True, there's value. But I think if you try to measure that value, it disappears.

A good postmorterm puts the facts on the table, and leaves the team to evaluate options. I don't think any good postmorterm should have apologies or ask people to settle social conflicts directly. One of the best tools a postmorterm has is the "we're going to work around this problem by reducing the dependency on personal relationships."

And indeed, the other crucial piece is that... apologizing isn't a protocol with an expected reward function. I can just, not accept your apology. I can just, feel or "update my priors" howmever I like.

We apologize and care about these things because of shame. Which we have to regulate, in part through our actions and perspectives.

Why people feel the way they do and act the way do makes total sense when ~~one finally confronts your own vulnerabilities~~ sorry, builds an API and RL framework.

Why does it feel like Yud is a magician trying to coax an increasingly uninterested audience with pulling handkerchiefs from his sleeve when his big saw the assistant in half trick doesnt net an applause in 2024?

Normies go crazy for this one neat rationalist trick!

Talk a lot about white culture, and only scarcely mention that he thinks white culture is a product of genetics.

I remember in the early days of the "culture wars" as far as political agendas going, hearing about "white/ethno-european pride," and being naively curious, I actually tried to engage these people on the topics of European culture and history, and found exactly zero engagement on these topics. Just politics abusing people's confusion of heritage with people's internal shame and lack of identity.

The paradox I've always found is that the more secure in your identity and heritage you are, the more happy you are to share, grow, and widen that. Maybe a hot take, but growing up in the south, alot of people there hide their personal internal shame and confusion in aggression and identity politics.

I think, I feel sorry for her, in the kind of I don't really endorse or have anything to do with sort of way.

She is the limit of what happens when you idolize certain people, are betrayed by certain people, and never grow from that experience.

It's also, probably wrong. Modern views of intelligence (see Multiple realizability of cognition and Multi-level competency collective intelligence and Free Energy Principle models) suggest you are better of measuring intelligence by measuring it's metabolism or through perturbation and interactions.

Which isn't reductive enough for these people.

It's hilarious to me how unnecessarily complicated invoking moore's law is to say anything..

With Moore's Law: "Ok ok ok, so like, imagine that this highly abstract, broad process over huge time period, is actually the same as manufacturing this very specific thing over a small time period. Hmm, it doesn't fit. ok, let's normalize the timelines with this number. Why? Uhhh because you know, this metric doubles as well. Ok. Now let's just put these things together into our machine and LOOK it doesn't match our empirical observations, obviously I've discovered something!"

Without Moore's Law: "When you reduce the dimensions of any system in nature, flattening their interactions, you find exponential processes everywhere. QED."

A trillion transistors on our phones? Can't wait to feel the improved call quality and reliability of my video conferencing!