Only a few were. Most were real

I want account suggestions please c:

There's still that 5-10% in the diagnostic process that involves physical interactions. An AI can't currently do the basics like using a stethoscope, shine a light down your throat or feel up your body. We'd need robotics to catch up for that

Nothing's stopping you from doing those. Just because you can 3D print a sculpture doesn't mean you can't carve one out yourself. Just because you can buy premade food doesn't mean you can't try cooking. Just because you can get veggies that are harvested by machines on a farm doesn't mean you can't try growing them in your house. Nothing's stopping you from enjoying the original process when there are easier alternatives, but getting rid of easier alternatives does stop lots of people's enjoyment for being stuck in the original process.

I think understanding and generating are different things. I remember seeing an article days ago on this sub that says LLMs could translate languages they weren't trained on, so I'm not too surprised if you say it could translate Geringoso.

However it can't generate. When I tried to get it to write in Pig Latin, the sentences were incoherent and it contained words that aren't real words. But at least they all end with “ay” and the output was better than my initial approach.

My initial approach was to get ChatGPT to move the first letter of each word to the last (Pig Latin without the “ay”) to see if it's a viable way of avoiding the filter. And it completely failed. It ended up giving me sentences where every word is a typo like “Myh hubmurger js veyr dliecsoius” instead of “Ym amburgerh si eryv eliciousd”. On top of that, the filters could still detect the content with all those typos, so it was a failed experiment for me.

Thanks! Well it's better than I thought. It still doesn't fix the limitations for the outputs I listed, but at least it's more flexible than what I presumed.

A flaw is that the tokens in LLM are word-based, not character-based. It sees every word as an entirely different thing instead of a combination using the same 26 letters.

This means it's unable to give outputs that rely on knowledge of the text of the word itself. It can't write you a story that doesn't contain the letter “e”, write a poem with a specific number of syllables, create new words, write in pig-Latin, break up words in random ways or make wordplays that involves play on the letters rather than meaning etc.

There's a lot of things I want it to do that it can't do because of this limitation.

Do you mean 5+ seconds to finish the entire text? Because ChatGPT's generation was always instant and fast for me until they had constant server overload from the traffic. The time it took to generate entire paragraphs was faster than any TTS reading it in 2x speed.

The slow response nowadays is just an issue stemming from too many people using it at the same time and prioritising the paid version over the free one. ChatGPT was already good in its response time during the first few weeks. But I've yet to hear a TTS that can generate audio right off the bat without waiting for a few seconds.

Why do some subs have the option for images in comments?

Not the same guy, but I only use subs to pin communities I frequent in for quick access. I've never used the feed nor the default subreddit list. I prefer to just check the subs directly and browse everything from there.

I've not subbed to Singularity nor r/Futurology since I've specially made shortcuts for these 2 on my homepage and didn't need to pin them.

Well the GPT3 playground was already available but it didn't take over the internet like ChatGPT.

There's Diff-SVC. If you haven't heard people using it to make Peppa Pig sing in Japanese

Diff-SVC? It's open source and can clone to other languages. But it's speech-to-speech only

You forgot voice cloning. Nowadays you can just train a convincing model of someone else's voice on your computer, as long as you have enough audio datasets that don't have noise.

There's already 100000 new songs being released every single day, since anyone with basic knowledge of music can just create them with softwares now. It takes hundreds of years to listen to every song released in the world.

Having AI that automatically generates music is not going to make the world feel more swamped in music than it already is nowadays.