[gdb]

We'll still release quite a lot, and those releases won't look any different from the past.

> I understand that keeping some innovations private may help commercialization, which may help raise more funds for OpenAI, getting us to AGI faster, so my opinion is that could plausibly make sense.

That's exactly how we think about it. We're interested in licensing some technologies in order to fund our AGI efforts. But even if we keep technology private for this reason, we still might be able to eventually publish it.

[DSingularity]

Eventually open ai?

[marvin]

I thought from day one that the name «OpenAI» would at best be a slight misnomer, and at worst indicative of a misguided approach. If AGI is close to being achieved, sharing key details of the approach to any actors at all could trigger a Manhattan Project-type global arms race where safety was compromised and the whole thing became insanely risky for the future of humanity.

Glad to see that the team is taking a pragmatic safety-first approach here, as well as towards the near-term economical realities of funding a very expensive project to ensure the fastest possible progress.

In the early days of OpenAI, my thoughts were that the project had good intentions, but a misguided focus. The last year has changed that, though. They absolutely seem to be on the right track. Very excited to see their progress over the next years.

[nradov]

Not to worry. No one is anywhere close to achieving true AGI so any safety concerns are a moot issue. It's akin to worrying about an alien invasion.

[DuskStar]

> No one is anywhere close to achieving true AGI

No one knows how far off true AGI is, just like no one in 1940 (or 1910) knew how far off fission weapons were.

EDIT: I quite liked this article from a few years back [0], and the fission weapon prediction example is stolen from there.

0: https://intelligence.org/2017/10/13/fire-alarm/

[umvi]

Really? I thought by 1940 physicists generally understood fission and theoretically understood how to build a bomb - they just needed to find enough distilled fissile material (which was hard to do). And indeed, once they had enough U235, they had such a high degree of confidence in the theory, that they built a functioning U235 bomb without ever having previously tested one.

[DuskStar]

In 1939, Enrico Fermi expressed 90% confidence [0] that creating a self-sustaining nuclear reaction with Uranium was impossible. And, if you're working with U238, it basically is! But it turns out that it's possible to separate out U235 in sufficient quantities to use that instead.

On the 2nd of December, 1942 he led an experiment at Chicago Pile 1 [1] that initiated the first self-sustaining nuclear reaction. And it was made with Uranium.

In fairness to Fermi, nuclear fission was discovered in 1938 [2] and published in early 1939.

0: https://books.google.com/books?id=aSgFMMNQ6G4C&pg=PA813&lpg=...

1: https://en.wikipedia.org/wiki/Chicago_Pile-1

2: https://en.wikipedia.org/wiki/Nuclear_fission#Discovery_of_n...

[idlewords]

They did understand it theoretically. This is the key flaw in any analogy between AI risk and nuclear weapons.

[yozel]

The point is, we don't need to know how exactly consciousness work to create an AGI. In theory, we can just simulate all the neurons in the brain on a supercomputer cluster and voila, we have AGI. Of course, it's not that simple but you get my point.

[idlewords]

This is a flawed analogy. The conceptual basis of nuclear weapons was well understood as soon as it was learned that the atom has a compact nucleus. The energy needed to bind that nucleus together gives a rough idea of the power of a fission weapon. If that energy could be liberated all at once, it would make an explosive orders of magnitude more powerful than anything known.

It was hard to predict when or if such a thing could be made, but everyone knew what was under discussion.

Compare this to AGI, some vaguely emergent property of a complex computer system that no one can define to anyone else's satisfaction. Attempts to be more precise what AGI is, how it would first manifest itself, and why on earth we should be afraid of it, rapidly devolve into nerd ghost stories.

[jlawson]

  1932 neutron discovered
  1942 first atomic reactor
  1945 fission bomb

Now for AI

  1897 electron discovered
  1940's vacuum tube computers
  1970's integrated circuits
  1980's first AI wave fails, AI winter begins
  2012 AI spring begins
  2019 AI can consistently recognize a jpeg of a cat, but still not walk like a cat
  ???? Human level AGI

It doesn't seem comparable one way or the other, in many ways. But if we do compare them, AI is going much slower and with more failure, backtracking, and uncertainty.

[DuskStar]

> This is a flawed analogy. The conceptual basis of nuclear weapons was well understood as soon as it was learned that the atom has a compact nucleus. The energy needed to bind that nucleus together gives a rough idea of the power of a fission weapon. If that energy could be liberated all at once, it would make an explosive orders of magnitude more powerful than anything known.

Extrapolating as you seem to be here, when should I expect to see a total conversion reactor show up? I want 100% of the energy in that Uranium, dammit - not the piddly percentages you get from fission!

Seriously, I think you overestimate how predictable nuclear weapons were. Fission was discovered in 1938.

[thrax]

I think there is a lot of evidence that explosive progress could be made quickly. Alphago zero, machine cision, sentiment analysis, machine translation.. voice.. etc etc etc

All these things have surged incredibly in less than a decade.

It's always a long way off until it isn't.

[marvin]

The Manhattan Project is a very apt analogy. Even if you believe that AGI is impossible, it should be possible to appreciate that many billions would quickly be invested in its development if somehow a viable pathway to it became clear. Even if just to a few well-connected experts.

This is what happened when it became known nuclear weapons were a viable concept. The technology shifted power to such an extreme degree that it was impossible not to invest in it, and the delay from «likely impossible» to «done» happened too fast for most observers to notice.

[idlewords]

The Manhattan project happened when the entire conceptual road map to fission weapons was understood. This is manifestly not the case with AI, which can be charitably described as "add computers until magic".

[JabavuAdams]

Why do we assume that AGI requires billions of $? Fundamentally, we don't know how to do it, so it may just require the right software design.

Nuclear weapons required enriched uranium, and the gaseous diffusion process of the time was insanely power-hungry. Like non-negligable (>1% ?) percentage of the US's entire electrical generation power-hungry.

[drinane]

AGI = Alien invasion

[hoseja]

I wouldn't be so sure the Manhattan Project-type global arms race isn't already happening.

[z3t4]

The atomic bomb was based on science theory. A computer can run many programs and do a great many things, but it will never be able to think by itself.

[throwawaywego]

> The atomic bomb was based on science theory.

Our study of (automated) intelligence is based on science too.

> A computer ... will never be able to think by itself.

Turing wrote an entire paper about this (Computing Machinery and Intelligence), where he rephrases your statement (because he finds it to be meaningless) and devises a test to answer it. He also directly attacks your phrasing of "but it will never":

> I believe they are mostly founded on the principle of scientific induction. A man has seen thousands of machines in his lifetime. From what he sees of them he draws a number of general conclusions. They are ugly, each is designed for a very limited purpose, when required for a minutely different purpose they are useless, the variety of behaviour of any one of them is very small, etc., etc. Naturally he concludes that these are necessary properties of machines in general.

> A better variant of the objection says that a machine can never "take us by surprise." This statement is a more direct challenge and can be met directly. Machines take me by surprise with great frequency. This is largely because I do not do sufficient calculation to decide what to expect them to do, or rather because, although I do a calculation, I do it in a hurried, slipshod fashion, taking risks.

[MetalGuru]

> A better variant of the objection says that a machine can never "take us by surprise." This statement is a more direct challenge and can be met directly. Machines take me by surprise with great frequency. This is largely because I do not do sufficient calculation to decide what to expect them to do, or rather because, although I do a calculation, I do it in a hurried, slipshod fashion, taking risks.

This seems like a cop out. Sure, if you do your calculations wrong, it doesn’t behave as you expect. But it’s still doing exactly what you wrote it to do. The surprise is in realizing your expectations were wrong, not that the machine decided to behave differently.

[throwawaywego]

I think any AI researcher has a tale where an algorithm they wrote genuinely took them by surprise. Not due to wrong calculations, but by introducing randomness, heaps of data, and game bounderaries where the AI is free to fill in the blanks.

A good example of this is "move 37" from AlphaGo. This move surprised everyone, including the creators, who were not skilled enough in Go to hardcode it: https://www.youtube.com/watch?v=HT-UZkiOLv8

[z3t4]

Investing into a bubble only to make sure the money go to yourself. Seems like a economic loophole. You think computers will start to have dreams and desires? Abusing such a machine would be unethical. Go ahead and build a better OCR, just don't fall to the AGI hype.

[ekianjo]

> Our study of (automated) intelligence is based on science too.

Can you elaborate which part of sciences you are talking about here?

[throwawaywego]

All sciences that collaborate with the field of AI: Cognitive Science, Neuroscience, Systems Theory, Decision Theory, Information Theory, Mathematics, Physics, Biology, ...

Any AI curriculum worth its salt includes the many scientific and philosophical views on intelligence. It is not all alchemy, though the field is in a renewal phase (with horribly hyped nomenclature such as "pre-AGI", and the most impressive implementations coming from industry and government, not academia).

And eventhough the atom bomb was based on science too, there is this anecdote from Hamming:

> Shortly before the first field test (you realize that no small scale experiment can be done—either you have a critical mass or you do not), a man asked me to check some arithmetic he had done, and I agreed, thinking to fob it off on some subordinate. When I asked what it was, he said, "It is the probability that the test bomb will ignite the whole atmosphere." I decided I would check it myself! The next day when he came for the answers I remarked to him, "The arithmetic was apparently correct but I do not know about the formulas for the capture cross sections for oxygen and nitrogen—after all, there could be no experiments at the needed energy levels." He replied, like a physicist talking to a mathematician, that he wanted me to check the arithmetic not the physics, and left. I said to myself, "What have you done, Hamming, you are involved in risking all of life that is known in the Universe, and you do not know much of an essential part?" I was pacing up and down the corridor when a friend asked me what was bothering me. I told him. His reply was, "Never mind, Hamming, no one will ever blame you."

[streetcat1]

It does not need to. It just need to get complex enough. This is from an 1965 article:

"If the machines are permitted to make all their own decisions, we can’t make any conjectures as to the results, because it is impossible to guess how such machines might behave. We only point out that the fate of the human race would be at the mercy of the machines. It might be argued that the human race would never be foolish enough to hand over all power to the machines. But we are suggesting neither that the human race would voluntarily turn power over to the machines nor that the machines would willfully seize power. What we do suggest is that the human race might easily permit itself to drift into a position of such dependence on the machines that it would have no practical choice but to accept all of the machines’ decisions. As society and the problems that face it become more and more complex and as machines become more and more intelligent, people will let machines make more and more of their decisions for them, simply because machine-made decisions will bring better results than man-made ones. Eventually a stage may be reached at which the decisions necessary to keep the system running will be so complex that human beings will be incapable of making them intelligently. At that stage the machines will be in effective control. People won’t be able to just turn the machine off, because they will be so dependent on them that turning them off would amount to suicide."

[dane-pgp]

I agree with the above, but imagine the same argument where "the machines" is replaced with "subject-matter experts", or "politicians acting on the advice of subject-matter experts".

The accumulated knowledge and skills of not just specialised individuals but entire institutions, working on highly technical and abstract areas of society, seems like it has created a kind of empathy gap between the people ostensibly wielding power and those who are experiencing the effects of that power (or the limits of that power).

> "... turning them off would amount to suicide."

Although this conclusion appears equally valid in the replacement argument, it sadly doesn't come with the wanted guarantee of "therefore that wouldn't happen".

[DuskStar]

> A computer can run many programs and do a great many things, but it will never be able to think by itself.

A computer being able to simulate a brain that thinks for itself is the logical extrapolation of current brain-simulation efforts. Many people think there are far less computationally intensive ways to make an AI, but "physics sim of a human brain" is a good thought experiment.

Unless you think there's something magic about human brains? Using "magic" here to mean incomprehensible, unobservable, and incomputable.

[ekianjo]

> A computer being able to simulate a brain that thinks for itself is the logical extrapolation of current brain-simulation efforts

Except that our current neural networks have nothing to do with the actual neurons in our brain and how they work.

[hikarudo]

I believe ekianjo wasn't talking about neural networks, but simulations using models that are similar to how neurons work. Computational neuroscience is a thing.

[JabavuAdams]

That's quite a claim, considering that we don't know what the word "think" means.

[jjeaff]

"maybe" eventually openAI

[oaeide]

Maybe eventually openAI

[apetrov]

maybe eventually open maybe ai

[ru999gol]

does anyone serious (non-encumbered) actually believe that?

[partisan]

> We'll still release quite a lot, and those releases won't look any different from the past.

I don’t mean to parse your words, but will you continue to publish using the same exact criteria as before or will there be a new editorial filter?