itworkslikethat

Making music is usually not a job. You're making your own intellectual property and sometimes you're successful in selling it.

Should we subsidize other kinds of unsuccessful businesses too?

You can. It takes some drugs, but you can. It's not uncommon for people to die because of dehydration at parties (taking stuff like extasis, etc).

The actual physical process of your body using the water once you ingest it is not much different, sure. But you can choose not to drink (and die some days later). A cloud can't choose not to rain.

Yes, you want to work, you want to have a cup of coffee. You may not like it, but you decided to do it and then executed a very complex series of steps to accomplish the goal. You're not a cloud, working/drinking is not an inevitable and direct physical process you're undergoing by yourself.

What's the point of the universe if there is nobody to enjoy it?

Yeah sure. If they had the ability to learn math but chose not to, it might be true. They don't, though - and I bet there is more than a few dolphins that'd like to do more if they could.

But... This is FE development, you think the backend devs would like to be writing this?

Back when we all did MVC we had FE and BE devs anyways.

Please name one other sentient, human-equivalent intelligent species.

Animals are awesome and I am indeed amazed by how smart some of the species are. Not a single one is near human level, though, and won't be for millions of years, if ever - which is not at all guaranteed, it's very much possible that human-level intelligence is evolutionary mistake/accident.

Let me know when you find an animal that can do e.g. lambda calculus and relational algebra like a human can. Since this has nothing to do with anthropocentrism, the same argument will be made - we have to preserve this species on another planet to ensure that intelligence doesn't disappear from the observable universe in case something happens to Earth/its biosphere.

Speaking for central EU schools, there is no such capacity and the teachers sometimes join in the bullying too.

They are also completely unable to deal with stuff like dyslexia, ADHD, or other mental issues - meanwhile we have a push for "inclusive schooling"...

Because humanity is the only known intelligent species in the observable universe.

Space is very irradiated, and direct sunlight is radiation itself. Anything you add there will be a drop in the ocean. Atmosphere is not sufficient to resolve space radiation, you need a magnetosphere.

This article says it's not coming yet

You're not a socioeconomic class, you're a single individual.

I'm visiting "blue spaces" every year, multiple times (I live in a landlocked country). I know for a fact (worked in tourism industry) that literally every socioeconomic class here spends a significant amount of their income to visit "blue spaces".

Yeah, the more affluent people can afford better places with more people working for their comfort, but that doesn't change a thing about the poorest just packing their car and going by themselves, staying in a tent right next to the "blue space".

I don't own a Lamborghini, which is why a Toyota - a car that I could afford - is more valuable to me. Even if I could afford a Lamborghini, I'd not drive it because I'd be afraid I'll crash it, and it doesn't carry all the cargo I need to drive - again that makes a Toyota more valuable to me.

It's most likely because of the actual runtime size of the model. All the open models are sized for consumer-grade devices, and thus 10x-100x smaller than whatever OpenAI runs (probably around 100+ GB in VRAM, maybe even some multiples more). This is one of the main reasons why their API makes business sense - it's not practical at all to run models like GPT-3 yourself, and training them costs incredible amount of money too.

It's true, that's the basic principle Starlink dishes and satellites operate on - they use phased antenna arrays: https://en.wikipedia.org/wiki/Phased_array

It's not practical to use it as a Directed Energy Weapon, but it is - conceptually - similar to one.

I tried them all, and continue trying when new things come out. No open model is capable of even remotely approaching the capabilities of GPT-3 or ChatGPT. Even if you had an equivalent trained model, running it would require enormous hardware.

While Stable Diffusion is pretty comparable to DALL-E 2 even on small hardware (such as M1 MacBook Air), this doesn't hold true for large language models. These need much, much more VRAM.

Because that's how it actually works. It generates the text token by token and you're seeing it live. GPT-3 Lab does the same, you can see when it gets slower/faster.