Recent comments in /f/singularity

zxq52 t1_ja6kgf5 wrote

It's not even a fractional reserve any more and it absolutely creates dollars. In fact the banking system is the only thing that does create dollars.

It doesn't surprise me in the least though that reddit defends the real culprit. Go after the little guys is always the response here or something unrelated like small and medium size businesses.

In short, the banking system ABSOLUTELY creates dollars and is the only thing that does.

They stopped requiring reserves in 2020. https://www.federalreserve.gov/monetarypolicy/reservereq.htm

You may be one of those that tries to call dollars debts or some such nonsense but they are literally dollars. They spend as dollars and are legally accepted as dollars and only they are accepted as dollars. They are dollars. Sorry.

1

EpicProdigy t1_ja6jtef wrote

Animators do not use video reference to make 1:1 copies of it. And in many cases, its impossible to create 100% reliable reference for what you want to animate. Just look at some crazy anime fighting scenes that straight up defy what humans are capable of doing. Animators often push and exaggerate things to make things more expressive and dynamic. Hell, people even often breaks characters limbs for a frame or two to create a desired effect. Enough to capture a certain feeling from the animation, but not long enough for the person watching to say "what the hell happened to their leg?!" Animation is full of little things like this. And its a highly iterative process.

Unless you can make an high level thinking thinking AI that can understand and apply 12 principles of animation, and also not need to rely on video reference, I cannot see this tech doing the hard work.

What I could see, is people using 3D animation to create reference for the AI to then make 2D animation. Because with 3D animation, you can make more animation in less amount of time, while having the type of movement youd find in 2D that's not possible or easy for a person to do in real life. Because no matter how hard someone tries, they often cant move like a cartoon character. And in some cases, it would be down right dangerous to even try lol.

I could see this for small indie creators who just want an cinematic animation for their story, but dont even have the small budget of a million dollars to pull it off. But personally, I view this tech as a way for 3D animation to finally pull off the 2D look. Which the anime industry has been doing trying to do for a long time because its much cheaper, but can never get it right. (Ok well Studio Orange gets it pretty close)

33

OtterPop16 t1_ja6jspy wrote

Can you test for quality or subjective experience? I don't think you can. We can make inferences for living things based on observing the nervous systems, especially those similar enough to ours like vertebrates and especially mammals.

But for other things? What does it feel like to be a nematode? Or a starfish with no central nervous system?

I mean, epistemologically, you can only know that you're having subjective experience.

1

xcdesz t1_ja6g6ib wrote

I would definately take that bet. Software development is not the job most people think it is, even at the junior level. The thing that most outside of the field dont know about is that the hardest part is figuring out what needs to be done, not how to do it / code it.

Ive seen some impressive and revolutionary stuff from generative AI.. and have been studying it and using it much longer than most here on Reddit, but what Ive learned is that generative AI is really not as job-destroying as people are hyping it to be. The ceo of OpenAI has said this -- GPT4 is going to let some people down, because its not an AGI.

3

Cr4zko t1_ja6ekeo wrote

You'll probably find amazing dissertations on the matter over at ranime but basically while we didn't get the sheer amount of anime we do today we had better produced shows and untested IPs had their shot to get an anime adaptation. Today they make anime on the basis of 'what profits more' and most studios heavily outsource to taiwan and korea because the industry simply can't handle the pressure being put on it by having 40+ shows airing at the same season. Animators are literally dying from overwork. It wasn't this bad when the japanese economy imploded in the early 90ies (the problem of the day was a bunch of OVAs being left unfinished, this killed the OVA market) so I'm not really sure what gives. But at least for me I can say anime peaked in 2007.

9

Darkhorseman81 t1_ja6dpa4 wrote

Me IRL.

I want to reawaken and restore the network of genes involved in vitamin C production we had when a younger species.

Want to correct the drought flood responses in the terrible western diet, which causes epigenetic issues.

The body doesnt store it and use it at a constant rate, meaning you need slow release Vitamin C, or a constant supply; eating small amounts, constantly.

2

Akashictruth t1_ja6d0iq wrote

Do you think the more ad hominems you throw around the more sound your argument(or lack there-of)? You are genuinely sad, anyone who sees how much you defend facebook would think you are part of it’s board of directors

I think you are just trolling, there is no way any human with real views and opinions would think like you so i will just close this off, have a good day.

1

spiritus_dei t1_ja6cjms wrote

When you say "make a game" it will be as simple as writing out for the AI what you want, describing the backstory, etc. It will just be prompt engineering. The AI will do all of the coding in the future.

It will be a much more advanced version of generative AI for pictures. The AI will have a really good idea of most of the genres and will probably be superhuman at playing all of the top games so it will understand the gameplay mechanics of all the popular titles.

For anything derivative the AI won't even need much human input. "Make a game that combines the gameplay of game X with a similar backstory of game Z but don't use any of the same names or violate copyright and make it more addictive."

The publishers will spit these types of games out non-stop, which will probably make truly unique and creative games more popular.

That means anyone with some level of creativity will be able to make a game lowering the barrier to entry to almost anyone. That doesn't mean that anyone will be able to make a good game, but the signal to noise ratio will change.

Just like with YouTube there will be a lot of noise. YouTube has millions and millions of videos that nobody wants to watch, but someone took the time to create the videos and post them.

My guess is there will be mountains and mountains of very bad games. And a very small subset of good to very good games. Eventually there will be a rating mechanism for games to become popular (similar to reddit comments and posts).

But it will be extremely difficult to make a buck at it. Unless you're super talented, but instead of having a small number of competitors you'll have an extremely high number. The cream will still rise to the top, but I think a lot of people who might otherwise make pretty good games will be turned away by the hassle of having to make a bunch of good ones before anyone notices.

People assume that it's simply a matter of talent. Plenty of extremely talented people won't have the patience of dealing with an avalanche of crap they have to wade through to get to the top. That will be a tiny subset of really talented and persistent people who probably would make games for their own entertainment regardless. This is likely true of a lot of the top writers who sit down and write regardless because that is something that is cathartic for them and not simply about making a living at it.

2

dwarfarchist9001 t1_ja6cfn4 wrote

This paper actually skips the folding step entirely. The AI was trained a list of protein amino acid sequences that were labeled with their purpose. Then they had it predict new amino acid sequences to fulfill the same purposes. Finally they actually made the proteins the model suggested and the proteins worked with quite high levels of efficiency.

The most interesting part to me is that some of the proteins suggested by model worked despite having little similarity to the proteins in the training data, as low 31.4% in one case. This suggests to me the model has caught on to some thus far unknown rules underlying the relationship between the sequences and functions of proteins.

5