TheWiseAlaundo

I'm just gonna play devil's advocate here.

Before the invention of the police, communities took it upon themselves to enforce the law. Oftentimes, militia members would directly write to governors asking for arms, and would also be present in their communities during public events where an armed presence might be necessary. Arrests for members of the community would happen by way of court order first, and then a posse would be formed as a means to enact that court order. Nowhere in the US constitution does the word "police" appear because the idea hadn't even been conceived at the time of foundation.

Comparatively, today's police have far more authority to enact violence and effect arrests than even the courts. Could a court today order a dog to maul a surrendering man? Probably not. But when the police do it, apparently, that's just the cost of doing business.

I think the lie is that we need the police and not the other way around.

Immediately, probably not. Privacy is one of those things where when you really need it, you can't get it... unless you already have it.

Also, it's not like you know the motivations of all 7 billion people on earth. If you're out in the open, it just makes it easy for the lazy to find you.

I can get behind using a VPN, a phone with Graphene or Calyx, adblocker, user agent switcher, librewolf, and stuff... you give up some convenience for privacy, but it's not overbearing. Tor, however, isn't exactly useful as a daily driver.

So is there a visible benefit? Hopefully not. If you're doing it right, you'll just live a normal life and not be bothered.

Lol... I just read the paper, and Dr Zhao actually just wrote a research paper on why it's actually legally OK to use images to train AI. Hear me out...

He changes the 'style' of input images to corrupt the ability of image generators to mimic them, and even shows that the super majority of artists even can't tell when this happens with his program, Glaze... Style is explicitly not copywriteable in US case law, and so he just provided evidence that the data OpenAI and others use to generate images is transformative which would legally mean that it falls under fair use.

No idea if this would actually get argued in court, but it certainly doesn't support the idea that these image generators are stealing actual artwork.

So that's the thing. People say that they'll never retire and that it sounds boring, but the reality is much different. You just find other things to do. What you'll find is that when you stop working for someone else, you start working for yourself... and if you're a determined individual you'll be busier than you've ever been in your life. Just something to consider.

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?

Nah, you right.

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.

That's kinda why I bring up Deming and his views of the entire purpose of a quality management system. "they should just stop pretending and send their employee the bullet points." I couldn't agree more. My bro is sending out the bullet points, but AI is formatting it, so it is acceptable to his boss.

In an ideal world, there'd be someone who actually examined the business operation to determine what the benefits of doing individual performance reviews are. Instead, things at his work are done a certain way simply because that's the way they've always been done... and thus, that's what he's doing.

"I'm not asking them to change the system..." That's not really what I meant, I apologize if i phrased what I said weird. If you're evaluating a person, then they're already probably not too far to any extreme. If they were the worst employee ever, you would let them go. If they were the best employee ever, your company would be dependent on them and would suffer if they voluntarily decided to leave. Your ideal employee would, therefore, be somewhere within the norm and would need to conform to your system. An individual review exists simply to enforce this conformity, and the reality of the situation is that most employees' true output is directed more by the operational efficiency of the business than an individuals own actions. If an employee is already conforming, then the review is effectively useless.

Anyways, I'm kinda droning on, but I think the horses have already left the barn with AI. I think the next logical step for many businesses is to really evaluate what they do and why they do it at an administrative level... and this is a good thing!

Regardless of what anyone says, I think this is actually a pretty good use case of the technology. The specific verbiage of a review isn't necessarily important, and ideas can still be communicated clearly if tools are used appropriately.

If you ask a tool like ChatGPT to write "A performance review for a construction worker named Bob who could improve on his finer carpentry work and who is delightful to be around because if his enthusiasm for building. Make it one page." The output can still be meaningful, and communicate relevant ideas.

I'm just going to take a page from William Edwards Deming here, and state that an employee is largely unable to change the system that they work in, and as such individual performance reviews have limited value. Even if an employee could change the system that they work in, this should be interpreted as the organization having a singular point of failure.

Depends on what you do. I personally use LLMs to write preliminary code and do cheap world building for d&d. Saves me a ton of time. My brother uses it at a medium-sized business to write performance evaluations... which is actually funny to see how his queries are set up. It's basically the employee's name, job title, and three descriptors. He can do in 20 minutes what used to take him all day.

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.