He’s not saying “AI is done, there’s nothing else to do, we’ve hit the limit”, he’s saying “bigger models don’t necessarily yield better results like we had initially anticipated”

Sam recently went before congress and advocated for limiting model sizes as a means of regulation, because, at the time, he believed bigger would generally always mean better outputs. What we’re seeing now is that if a model is too large it will have trouble producing truthful output, which is super important to us humans.

And honestly, I don’t think anyone should be shocked by this. Our own human brains have different sections that control different aspects of our lives. Why would an AI brain be different?

Somehow I don’t think the Quest 3 is going to be a problem. The battery only lasts a couple hours, and you look dumb as hell wearing it in public. Unless the point is to look dumb as hell in public, then mission accomplished.

Gonna just buck the trend and say that this AI push has me excited for the future. It’s easy to be a nay-sayer, but I genuinely believe the leaps made in AI in just the last year are amazing.

The author clearly doesn’t like AI, and completely mischaracterizes Mistral AI for things their models could say, but doesn’t consider at all why unaligned models are useful in developing your own.

The author likes to highlight that sometimes an AI will make things up, a phenomenon known as hallucinating. Hallucinations could also be called “creativity” in certain contexts. This isn’t always a fault, especially when creativity is the intended purpose.

The author pointed out how it’s possible to prompt engineer out sensitive data, and how there’s a lack of privacy… which isn’t a problem with the tech, but rather tech companies.

The technology used behind the scenes with ChatGPT isn’t exclusively for text generation. I’m seeing it appear in speech to text / text to speech applications. It’s showing up in image and video editing. It’s showing up in … well … images/movies of an adult nature.

You’re probably already consuming AI generated content without even realizing it.

That’s a good question. Apparently, these large data companies start with their own unaligned dataset and then introduce bias through training their model after. The censorship we’re talking about isn’t necessarily trimming good input vs. bad input data, but rather “alignment” which is intentionally introduced after.

Eric Hartford, the man who created Wizard (the LLM I use for uncensored work), wrote a blog post about how he was able to unalign LLAMA over here: https://erichartford.com/uncensored-models

You probably could trim input data to censor output down the line, but I’m assuming that data companies don’t because it’s less useful in a general sense and probably more laborious.

There’s a ton of stuff ChatGPT won’t answer, which is supremely annoying.

I’ve tried making Dungeons and Dragons scenarios with it, and it will simply refuse to describe violence. Pretty much a full stop.

Open AI is also a complete prude about nudity, so Eilistraee (Drow godess that dances with a sword) just isn’t an option for their image generation. Text generation will try to avoid nudity, but also stop short of directly addressing it.

Sarcasm is, for the most part, very difficult to do… If ChatGPT thinks what you’re trying to write is mean-spirited, it just won’t do it. However, delusional/magical thinking is actually acceptable. Try asking ChatGPT how licking stamps will give you better body positivity, and it’s fine, and often unintentionally very funny.

There’s plenty of topics that LLMs are overly sensitive about, and uncensored models largely correct that. I’m running Wizard 30B uncensored locally, and ChatGPT for everything else. I’d like to think I’m not a weirdo, I just like D&d… a lot, lol… and even with my use case I’m bumping my head on some of the censorship issues with LLMs.

I actually did ask my Doctor about why this happens once. Mainly it’s because if a patient before you has something that needs more time it messes up the schedule for every patient after… and this happens every single day. If no one cancels their appointments, then this problem just continually compounds throughout the day. The best bet to being seen on time is to be the first patient of the day.

Or just intentionally show up a few minutes late and take the mild scolding from the receptionist. It’s not like they’re going to turn ya away