Can you explain your vision of the game you are developing in such detail that another programmer can create it as you envisioned it? No? Then what makes you think an AI can? It might be a competent programmer that can write games. But it's not you so it will not write your game.

If it becomes trivial to develop a game with AI that's great! The only thing that means for programmers is that you think bigger and better and expand the scope of what you hope to achieve.

With nanobots, anything is possible. Incinerator toilets take care if sewer and rainwater plus tank snd nanobot recycling means plumbing taken care of. Probably use carbon dioxide to make carbon fibre for electricity transmission which will be powered by solar panels and battery bank.

Weirdly a lot of people here claim to understand the singularity but then say none of this will be possible for many decades. Pretty much this is within the first few years of the singularity. Just sounds fantastical to us right now because we are so low in the curve atm.

Not sure how old you are or how much of the world you have experienced. There is a lot out there and most certainly a lot of people who think like you regarding “work”. I think if you looked, you could find people who share similar beliefs with you and who live an alternate lifestyle. You can’t say there’s nothing worthwhile here if you haven’t travelled and experienced other cultures and ways of life. I understand you might not be happy where you are and with what you are doing in life - wish you all the best and hope you find some happiness and satisfaction in your life. It’s out there if you are willing to look for it and work towards it.

Eventually at the end of the road, democratic socialism. One vote for every man and woman.

My vote in an election bears the same weight as the vote of Bill Gates. At a Microsoft shareholder meeting, my 10 votes stand againt 4.2 billion votes and Bill Gates has like 500 million I guess.

It would be irrational to give mega-corporations the power of AGI, for the average citizen has next to no influence on the course of action. In the US, 10% of the population controls 89% of all single stocks.

Yes, we got far. But why did we get here?

1. We had a "wild" GPT3 in 2020, it would hardly take instructions, but still the largest leap in capability ever seen

2. Then they figured out that training the model in a mix of many tasks will unlock general following ability. That was the instruct series.

3. But still, it was hard to make the model "behave". It was not aligned with us. So why did we get another miracle here? Reinforcement Learning has almost nothing to do with NLP, but here we have RLHF the crown jewel of the GPT series. With it we got chatGPT and BingChat.

None of these three moments were guaranteed based on what we knew at the time. They are improbable things. Language models did nothing of the sort before 2020. They were factories of word salad. They could barely write two lines of coherent English.

What I want to say is that we see no reason these miracles have to happen so fast in succession. We can't rely on their consistent return.

What we can rely on is the parts we can extrapolate now. We think we will see models at least 10x larger than GPT3 and trained on much more data. We know how to make models 10x more efficient. We think language models will improve a lot when combined with other modules like search, Python code execution, calculator, calendar and database, we're not even at 10% there with the external resources. We think integrating vision, audio, actions and other modalities will have a huge impact, and we're just starting. LLMs are still pure text.

I think we can expect 10x...1000x boost just based on what we know right now.

I will be messaging you in 12 years on 2035-02-26 22:47:04 UTC to remind you of this link

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I hope it’s wild and in a good way for all of us.

!RemindMe 12 years

But that’s exactly my point. In that capitalist system, all of those things could be fixed with appropriate regulation.

What system would you prefer?

Yup. As long as there are open source models, things may stop getting better, but they can't get worse. But also they probably will get better, because it's the community that provides a lot of the improvements, not people trying to make money.

Digesting lactose is a highly advantageous trait, so lacking it is a genetic disorder. I have met many people who are lactose intolerant and wish that they could digest lactose, but I have never met one person who wished they were lactose intolerant. The inability to produce certain amino acids is also a genetic disorder, and the entire population has it.

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I'd say we're in the middle of the slow takeoff

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There is nothing worthwile here.

Most people aim at an education and job to escape working as fast as they can. "Not working" is the ultimate goal of most humans.

It is irrational to work long and hard to chase nice experiences in this world, when you could have the same at a fraction of the cost in a digital world of your own design. One day.

But even if you like work, in a digital world you can truly choose every aspect of your job and all ventures you want to take.

You can socialize as much as you truly want, or not, belonging to a tribe is no longer a matter of survival.

It's still not idiotic.

DeepMind's decision makes sense. Even in light of other teams making different decisions.

Do you realize that algorithmically, it is much easier to test approaches on finite state games and later scale up to games with infinite states?

Please note ‘when compared to’

That's meaningless. Even enumerating all games of Go is tedious, 10^170, more than 10^80 the number of atoms in the universe, and that's only a small corner of "everything that can happen". If you put two go boards side by side the number of state multiplies between them.

In comparison to the strategic decision made by OpenAi to develop an ai to play a VIDEO game

just theorizing here, and trying to stay close to the realm of known physics, but if fusion power could be miniaturized and be made modular (think something like 5kW modular fusion power "blocks"), energy infrastructure could be completely decentralized.

Stop trying to work to live and start looking to find what makes you happy when you do it.

AI can create quickly but creativity is where humanity shines, The emotional impact of a wrong note in a musical composition or the blending of multiple forms of art on one medium with emotional attachment, The ideas the creating, They are still going to need to be driven by humans.

AI is a friend, something to cooperate with, Not something to replace us.

"Idiocy"

Okay buddy, let's see you advance the field of AI in a smarter way.

? Idiocy? You think anyone at DeepMind is an idiot?

Look, we can talk about the value of solving for something like Go/Baduk, even in just getting people to understand the power of RL (as it was predicted it would be another decade before anyone would be able to beat a master), or we can talk about the fact that DeepMind has dozens of concurrent projects running at any given time and they have models that have been trained in everything from Atari games, to Starcraft - to models that are embodied in robots or models trained on stabilizing plasma... But what I think is more important is you try to remember that none of these organizations is composed of idiots.

They are made of international teams, filled to the brim with people who have excelled in their careers and in usually everything they have attempted in their lives. I don't think you need to show respect or anything dramatic like that, but if you are approaching your critique of their actions with this assumption that they are like... Dumb. Don't. We can put aside that even your critique here shows you don't have a good understanding of what they are working on, because I think before all that, you are doing yourself a disservice if you don't appreciate the depth of consideration that goes into basically everyone of their decisions. Even if there are missteps and mistakes, none of them come from idiocy.

Alpha go 2015

Open ai dota 2017

Alpha starcraft 2019.

So i guess its like a bicycle to a spacecraft to a really fast spacecraft.