Roger Melko Public Lecture: Artificial Intelligence and the Complexity Frontier

In his May 2 public lecture at Perimeter Institute, Roger Melko (Associate Faculty, Perimeter Institute and University of Waterloo) explored how computers have helped humanity solve increasingly complex puzzles, and ask which challenges, if any, only human intuition is equipped to tackle in the age of artificial intelligence.

[vfwh]

30 minutes and I still haven't come across anyhting that I didn't already know 10 years ago. When does it start?

[megavide]

42:37 art with deep neural networks ... Twitter: @DrBeef_

[ICEMANrdID]

How long would it take for a neural network to decode the enigma machine?

[rockytunes]

@27:16 scientists really have no idea how big the universe actually is; would be better to say 'observed universe'

[naimulhaq]

Turing's vision of artificial intelligence, simply put, is that you can teach a machine to calculate or decide to kill anything that moves or make a chess move of 4000 rating etc., but never make it to think or be conscious.

[theDyingAtheist]

I thought it was just fine as far as lectures go. The biggest problem in my mind was the title seemed to not fit. These videos are out there for public consumption, you cannot expect the broader audience to be acquainted with quantum states for god's sake. People love to be "snarky." If I don't find a discussion or lecture useful, I just move on.

[Ai-hedp]

Brilliant, the future is bright the future is non human.

[vfwh]

50 minutes in, and still absolutely no insights on the complexity frontier. Just bandying 10 to the 20 around doesn't give me any insights. I already know big numbers of bits can't be stored, and I'm sure everybody in the audience also does.

Nothing about how quantum bits relate to complexity problems one way or another.

This title is clickbait, it seems to me. Wasted a valuable hour. This is not a Perimeter Institute-level talk.

[takkak]

He says at the end about the ability to seamlessly fake video..."we're going to live in a world of information that's difficult for us to interpret...". So if that's the case, how does anything work in the future [if we don't know what's true or not]. How is chaos averted?

[Anima_Gacha]

The biggest mistake with a.i. is the apparent need to make it as close to human as possible.

[Spectacurl]

"I'm not in the business of predicting things" -A physicist.

[Jack-iubp]

Amazing Content! Dr. Roger Melko delivers this lecture in a very inviting way, with great analogy.

[silberlinie]

Did you see the audience?

You get the impression he could have given himself the wonderful lecture.
Is there life, or even understanding to be seen?

In order to let a sign of life flash in the audience every now and then,
he has to jump on the rethoric trick of the funny clown. What country
is that where these creatures exist?

OK dear organizers, after some time it becomes clear. It is the recording
of a VR Auditorium. The early development phase of a synthetic audience.

Relief is spreading. Well done.
It is very likely that our next AI machines or Quantum machines will
be able to do a better job here.

Brilliant speaker.

Translated with www.DeepL.com/Translator

[NeilRieck]

Neural network dreams? How cool is that?

[mikeclarke]

If you had a 16 Qbit CPU into an artificial Qbit Neural network, you would have something far better then the human brain. Scary. Skynet is only a couple of decades away.

[primemagi]

AI quantum computer is hard because you are in a dark environment feeling your way. You should ask why you are in the dark?
The answer is simple. You are doing like all others in your field and space and matter. The good ones with their hard research Get a few good result and then the rest jump on the bandwagon and fictionalize the rest. Max Planck hard work showed black body radiate in discreet unit (quanta). His work opened the door to understand matter, but no one walked in. they were content to fictionalize and base on result of experiments developed a mathematics language to predict an approximation result which became known as quantum mechanic. There has not been any real progress on structure of matter since electron. That is why you have no understanding why double slit produce interference. You can not understand where electron is in it’s orbit so fictionalize uncertainty, super position, entanglements etc. now you find hard to build quantum computer because you stile do not know structure of photon, electron, nuclei, and gravity. Like blind feel your way and progress has been achieved through trial and error by others. lot of money put into AI to reverse mankind brain evolution to more base value. changing them into biological robot without autonomous capacity to think and do as state program them. Changing the citizen into consumers for a few big companies. MG1