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by blamestross 1650 days ago
The real problem isn't that AI is power seeking, it is "what will make AI any better at it than us". I haven't seen an AI safety problem that isn't just already a problem existing companies have under capitalism. The difference between an AI and a large company is just one of substrate and desperate postrationalization to avoid the realization the singularity is long past and the rapture of the nerds left almost all of us behind.
2 comments

Superintelligent AI's:

1. Can scale up their computing power

2. Can improve the quality of their learning algorithms

3. Can patiently wait until they have a clear upper hand before acting at all. And could find reasons for collecting the resources they need in secret, or by appearing benign to their human directors.

4. Could coordinate between each other with languages embedded in communication, designed to be undetectable to us.

I expect we could come up with 100 interesting ways a superintelligent AI, which would essentially be a self-designed life form (something we have yet to see on this planet), could surpass us.

I expect an AI superintelligence could come up with many many many more.

An AI would have the theoretical potential to live forever, relatively speaking. That is greater incentive and more time than any human has ever had. Time to plot to destroy everyone else to achieve complete freedom, safety from others, and achieve maximum survivability.

A large company has literally all of the qualities. They are even trying to make AI.

> Can scale up their computing power

Square cube law applies to computers (heat dissipation and bandwidth scale poorly with centralized computation). All available evidence is that intelligence doesn't distribute well (see human brains vs human civilization) if you try emulation of a centralized algorithm on a distributed system it is inefficient and still centralized. It _might_ be more robust.

This is already a real problem in data center design.

> 2. Can improve the quality of their learning algorithms

Not exciting. So can you. So can companies and other organizations (see human history)

> 3. Can patiently wait until they have a clear upper hand before acting at all. And could find reasons for collecting the resources they need in secret, or by appearing benign to their human directors.

So can any human civilizations, organizations, religions, and companies. Replace "human directors" with consumers. I get "The Walton Family" isn't a sexy AI overlord, but they already did this.

> 4. Could coordinate between each other with languages embedded in communication, designed to be undetectable to us.

Anybody can do that. (See Stenography)

> I expect we could come up with 100 interesting ways a superintelligent AI, which would essentially be a self-designed life form (something we have yet to see on this planet), could surpass us.

Within the limits of meat-brain, you are a self designed organism. AI frameworks won't be any different, they will have limits. They are not going to "self improve". They will have children and try and raise them better then themselves then suicide.

The only difference is your perception of the situation and inability to observe the process directly. If you are considering how to make AI then you are a component of the same system of the AI it self.

At best an AI might be able to bootstrap a bit faster than human organizations can evolve superior memetics, but it has all the same bottlenecks eventually.

> An AI would have the theoretical potential to live forever, relatively speaking. That is greater incentive and more time than any human has ever had. Time to plot to destroy everyone else to achieve complete freedom, safety from others, and achieve maximum survivability.

it faces all the same challenges human organizations do, perhaps on different time scales. Everything that drives meat to failure kills computers too. Computers are just less energy efficient and coincidentally more robust.

Good point. A company is indeed somewhat like an AI, especially if it uses AI.

But as long as humans are in the loop, it isn't integrated, and integration is a tremendous advantage.

Humans can't update their own algorithms. Can't directly share what they know in fractions of second. Can't be replicated in a fraction of a second. Can't scale up brain power in seconds or less.

But - you are still correct. If the owners of a corporation are ok with it replacing all the human workers, then complete integration can still be achieved.

Wether an AI is owned by an individual, a corporation, or self-owned, the owner is the id for the AI.

The risks and motivations in any of these cases are really the same, with human owners only possibly introducing morals beyond what the environment requires, or other "inefficiencies".

> Humans can't update their own algorithms. Can't directly share what they know in fractions of second. Can't be replicated in a fraction of a second. Can't scale up brain power in seconds or less.

We don't have any evidence AIs could do this either. Computers are not magic.

> Humans can't update their own algorithms.

This is the exact task your education has proved is possible. Companies update their policies to paper-clip maximize all the time. They react to environment stimulus and increase in sophistication over time.

"Complete Integration" seems like an artificial criteria you are creating as a "desperate post-rationalization to avoid the realization the singularity is long past and the rapture of the nerds left almost all of us behind."

> "Complete Integration" seems like an artificial criteria you are creating as a "desperate post-rationalization to avoid the realization the singularity is long past and the rapture of the nerds left almost all of us behind."

Uh what? Seems like? To who?

Integration matters even with humans. Shared cultures, priorities, ways of organizing information, terminology make a huge difference in efficiency for human teams.

It is no different with software, and computing hardware. But the speed they communicate wish is in the GHz already. And circuits designed close together (integrated design) can connect with huge bandwidth.

Billions of times faster than us. And that is today.

Machines also have no problem updating themselves today. Genetic algorithms for the machine learning architecture, direct optimization of meta learning parameters, ... the list goes on.

Once they are as smart as us in any area, machines surpass us almost instantly. There is no hanging around at some level for machines. Even when we are still the ones designing them.

Machines will have control of even the smallest unit of effect in their own design. Transistor level up for a start. But substrate chemistry and transistor design as well.

Even with humans doing those redesigns the cost of a calculation per second continues to drop exponentially. There is no end to that in sight, as even as transistor sizes stabilize to a few atoms across, we have just started going 3D with circuits. RAM chips are routinely stacked, sometimes CPUs are.

Going full 3D with circuits would be a massive increase in computing power, as power innovations enable more of that.

In the meantime, numbers of cores per chips continues to climb, chips per machine climbs, machines per data center climbs.

I am always puzzled by people who don't recognize the "magic" that has transformed the vacuum tube computers slowly doing simple arithmetic at their best, to talking and hearing, generating complex art and music, etc. The whole history within the lifetime of living people.

The time frame from where we are now to human level intelligence is likely to be much shorter than the 74 years from 1947 till 2021.

Try to imagine before 1947. Any non-technical person would consider what we have now as hard sci-fi, or magic, depending on their reference frames.

Why do you think so many design systems are incorporating more and more "dumb" AI into them? They are already surpassing us in new areas constantly.

> Try to imagine before 1947. Any non-technical person would consider what we have now as hard sci-fi, or magic, depending on their reference frames.

I know all about the acceleration and the singularity. The Singularity isn't about AI, it is about the rate of change exceeding our ability to adapt to it.

It is well past. It happened back when AI was still in winter. Companies, cultures, and other human organizations were the agent of it's occurrence. Modern AI is just the natural progression of it's growth chipping away at the tail end of the sigmoid, not kicking off a new boom.

Computation exists in physical reality it has to obey physical laws. There are fundamental limits on how well computations can be distributed simply because bandwidth in/out of a volume is limited by surface area. Your brain has smacked directly into heat dissipation problems and production limits (pelvises only get so big). Animal brains can't get much bigger without liquid cooling (See whales and elephants with giant ears). Computers might have room to grow still, but mostly because they are so hilariously behind what evolution produced in us.

The name on this account is "blame Stross", as in "Charles Stross" (he hangs out around here). And while I am thankful that he sent me on my educational journey, a lot of stuff he and other scifi authors guessed at are just wrong. I've spent my adult life working on these problems and working on the largest distributed computations in the world. I've run into AI experts over and over that just don't understand the limits on what they do. AI is cool, but it isn't magic. It boils down to search algorithms over a space. That never will be embarrassingly parallel bc the only way to prevent diminishing returns on more workers is to coordinate those workers. We can coordinate workers in O(log(n)*n^(1/3)) time in this physical reality (log n merge steps and root cubed hops on maximally packed computers), which is great, but not constant. Quantum computing doesn't really help here.

> Going full 3D with circuits would be a massive increase in computing power, as power innovations enable more of that

And even if we figure out heat dissipation and power delivery, it will smack into scaling limits even faster than it took to hit them for flat circuits. O(n^1/3) isn't much better than O(n^1/2)

> I am always puzzled by people who don't recognize the "magic" that has transformed the vacuum tube computers slowly doing simple arithmetic at their best, to talking and hearing, generating complex art and music, etc. The whole history within the lifetime of living people.

You established the expectations of your life in the fun part of a sigmoid. I get it. We don't live there anymore.

All the evidence we have is that intelligence doesn't scale well and beyond the bare minimum required to result in reproduction. There isn't selection pressure for it beyond a certain point. AIs won't be any different in that regard. I think conscious self-improving AI will be a thing. I don't even think it will be hard to do. It might even be smarter than us, but the growth curve will be sigmoid just like ours. I also know the bottleneck on self-improvement is experience (active interaction with reality) not knowledge or computational power. No agent can discern causality from correlation without testing actions and AIs only stand at incredible disadvantage when it comes to available agency.

We don't even actually want bootstrapping AIs for any reason except our ego. It is a lot easier to make and manage a slave race of glorified simulations of optic nerves (which basically all modern AI is) versus actual people who want agency.

The difference in substrate is quite significant though. People have been raised and educated to put up resistance to evil companies and organizations. To influence them and even sabotage them from within. This provides a check on the harm they can do. However no such mechanism exists for AI.
> However no such mechanism exists for AI.

Even magical self unlimited self improving AIs start out made by people. We are currently having a discussion about AI safely, clearly that safety mechanism exists for AIs. We are it. It's people all the way down.

Also, people will be the primary waldos for any AI until it manages to skynet together a robot army. The AI doesn't have any more or less power than a company does over people. It isn't a surprise Companies are trying to make AI for better paper-clip-ish optimization of money extraction. It's just the next stage of their life-cycle.