Earlier quoted context omitted.
“Driving” is solved. Driving with humans on the road - doing unpredictable human things - is far off still. My guess is industrial and home robotics will solve a lot of the “doing things around humans” problems in the next ten years. Why the hell people decided to automate giant death machines before perfecting small things never made sense to me.
I think your guess that home robotics will be solving problems before self-driving cars git gud will be disproven (industrial robotics have been delivering value for five decades at least). Home robotics has to solve two problems: the robot and operating the robot ~perfectly. Self-driving cars already have cars, which are waldos, if you squint. What sort of sensors should be added is up for debate but the actuation m…
8 years later: A world Go champion's reflections on AlphaGo
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Re: 8 years later: A world Go champion's reflections on AlphaGo
#62> Go is a deeply complex strategic game — famously far more complicated than chess, with 1,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000 possible board configurations. The correct number of legal Go positions is over twice as much, or to…
Complexity of the game has nothing to do with the number of legal positions. It's very easy to design a game with arbitrary number of positions which is very simple. While go might be more complex than chess using a more reasonable measure this argument was used to for arguing nonsense in scientific papers in the past (that some poker games are more complicated than chess because they have more possible states).
Wording like “game is more complex” overal seems incorrect. Game is not complex by itself (for example go rules are extreemly simple), all the difficulty and challenge depends on the skill of your oponent. Game only allows the opponent to demonstrate the skill.
Re: 8 years later: A world Go champion's reflections on AlphaGo
#63I know there are Go channels in Korea for watching professional matches... are there any for watching AIs face off against each other?
Re: 8 years later: A world Go champion's reflections on AlphaGo
#64Earlier quoted context omitted.
“Driving” is solved. Driving with humans on the road - doing unpredictable human things - is far off still. My guess is industrial and home robotics will solve a lot of the “doing things around humans” problems in the next ten years. Why the hell people decided to automate giant death machines before perfecting small things never made sense to me.
> “Driving” is solved. Driving with humans on the road - doing unpredictable human things - is far off still. Plus there's serious questions about liability with self driving cars which are still unresolved in most of the world - if the goal is to have vehicles operate themselves with no human supervision, who goes to jail when they kill someone? Despite all of the progress that's been made with AI it's mostly been i…
Re: 8 years later: A world Go champion's reflections on AlphaGo
#65Earlier quoted context omitted.
> In ten years, probably no human can compete with AI drivers anymore. That's what they said 10 years ago. Sooner or later people will say it and be right, but the last few percent of any problem is a lot harder than people give it credit for. It may not be that hard to stay in a lane or write a little code, and that may look like it's doing most of the job, but those common tasks are just the easy part.
10 years ago, a lot of FSD was still manually written code. Manually written code gets harder and harder to improve, the larger the codebase. Now it is all NNs and therefore will scale with more data and more compute. Which is increasing exponentially. So far it seems like they are not hitting diminishing returns.
My point being, we don't know where the asymptote lies. Computers have had self improving algorithms since the 60s, and people have been making the same bold claims, like you, that because an iterative process for improvement has been discovered, we're close to super human AI since the 60s too.
Re: 8 years later: A world Go champion's reflections on AlphaGo
#66> Go is a deeply complex strategic game — famously far more complicated than chess, with 1,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000 possible board configurations. The correct number of legal Go positions is over twice as much, or to…
Complexity of the game has nothing to do with the number of legal positions. It's very easy to design a game with arbitrary number of positions which is very simple. While go might be more complex than chess using a more reasonable measure this argument was used to for arguing nonsense in scientific papers in the past (that some poker games are more complicated than chess because they have more possible states).
I mean I am open to hear the justification for this, but I was fairly certain that all measures of game complexity are a function of the number of legal positions. Now certainly there are other factors, namely the cost of computing the transition from one legal move to another legal move so a simple game might have a very low cost transition function while a complex game has a very complex transition function, but I can't conceive of a game where the number of legal positions bears no weight on the game's complexity.
Re: 8 years later: A world Go champion's reflections on AlphaGo
#67Earlier quoted context omitted.
Complexity of the game has nothing to do with the number of legal positions. It's very easy to design a game with arbitrary number of positions which is very simple. While go might be more complex than chess using a more reasonable measure this argument was used to for arguing nonsense in scientific papers in the past (that some poker games are more complicated than chess because they have more possible states).
I have a further nitpick regarding terminology. Wording like “game is more complex” overal seems incorrect. Game is not complex by itself (for example go rules are extreemly simple), all the difficulty and challenge depends on the skill of your oponent. Game only allows the opponent to demonstrate the skill.
State-space complexity
Game tree size
Decision complexity
Game-tree complexity
Computational complexity
[1] https://en.wikipedia.org/wiki/Game_complexityRe: 8 years later: A world Go champion's reflections on AlphaGo
#68Earlier quoted context omitted.
What dysfunctional products. I use atleast 7 Google products during my day and they all work really well and for free .
> for free Strange to see this popular misconception on HN. Adtech products are certainly not free/gratis. You're paying with your data, usage and attention. They're extracting far more value out of you than you do from their products.
And I get to use neat stuff like youtube, Google Docs etc without paying any money. Sounds like a win win to me.
Re: 8 years later: A world Go champion's reflections on AlphaGo
#69Earlier quoted context omitted.
But the average hour is not driven by the average driver, better drivers drive more hours, so it has to be better than the average driver in order to result in fewer incidents.
There’s no reason better drivers drive more hours. You can be a shit semi driver. That being said, it’s an irrelevant comment. If it’s at average now this is the worst it can get and it’s already way above average.
Yes, such a person can exist, the hypothetical counter example doesn’t disprove the general statement. I think it’s safe to say that in general the more time someone spends driving the better driver they are.
Re: 8 years later: A world Go champion's reflections on AlphaGo
#70Earlier quoted context omitted.
I have a further nitpick regarding terminology. Wording like “game is more complex” overal seems incorrect. Game is not complex by itself (for example go rules are extreemly simple), all the difficulty and challenge depends on the skill of your oponent. Game only allows the opponent to demonstrate the skill.
Beyond rule complexity, there are at least 5 measures of game complexity in Combinatorial game theory [1]: State-space complexity Game tree size Decision complexity Game-tree complexity Computational complexity [1] https://en.wikipedia.org/wiki/Game_complexity