It is! Hence the realization that I got older. Sorry, re-reading my comment above I wasn’t clear

For me it clicked when pretty girls started tallking and being nice to me

Yup, they just stopped pretending. For years they thought they had to keep up a friendly facade for us peasants, but Trump showed them that it’s no longer needed.

“we were using ChatGPT to design our server architecture and…” (OpenAI PR tomorrow, probably…)

I like this. Just a couple of additions, for the purpose of trying to improve on this lore.

First, Native Americans do have ghosts too (see https://allthatsinteresting.com/native-american-ghost-stories for instance).

If “ghosts” are just the embers of a particularly strong emotion that burned in a particular place, I suggest that “seeing” the ghost depends on being able to tune-in to that emotion and on having the cultural tools to interpret it and personify it.

So I might experience some faint, weird feeling going through a field where a battle between Native American tribes once happened but, as a white person imbued with a specific culture, I would not be able to recognize that particular mix of feelings and “see” that ghost. But a Native American might.

And if a big department store is built on top of that field, it would make it harder to both tune in to that particular faint feeling (among the confusion of so many other feelings) and to personify it as an old Navajo warrior, which would not make sense to us in that place

exactly! “I was energized to meet with the team in X and discuss our sales figures” or “congrats, company Y, for disrupting the market of foot creams” is the best use of AI.

I’m not sure how you would even be able to tell if that type of content is AI-generated or just plain old copy-pasted from one of a thousand similar posts

if you want to listen to 35 minutes of annoying music, press 1. If you want to get insulted personally by an operator stay on the line

I don’t think Musk would disagree with that definition and I bet he even likes it.

The key word here is “significant”. That’s the part that clearly matters to him, based on his actions. I don’t care about the man and I don’t think he’s a genius, but he does not look stupid or delusional either.

Musk spreads disinformation very deliberately for the purpose of being significant. Just as his chatbot says.

I think I’m with him on this one. Replacing all the people on social with AI agents would give us back so much free time! And we could even restart socializing for real.

Go on Zuckerberg, give us a Facebook made only of AI agents creating fake pictures of inexistent gatherings and posting them, so other AIs can recommend them and million of other AIs can comment on them!

You are an unsung hero, Zuckerberg, but one day they’ll understand and thank you

on the other hand, when Putin’s done killing off most of their own present and future workforce in a senseless war and completely tanking his own economy, that might be the equivalent of like $3

Socials and the Internet in general would be a much better place if people stopped believing and blindly resharing everything they read, AI-generated or not.

Most things to do with Green Energy. Don’t get me wrong, I think solar panels or wind turbines are great. I just think that most of the reported figures are technically correct but chosen to give a misleadingly positive impression of the gains.

Relevant smbc: https://www.smbc-comics.com/comic/capacity

I think they don’t matter with outrage, because outrage explodes in ways that are hard to predict. I mean, I can see the problem with the ad now that it has been pointed out to me. After reading about it repeatedly, I now find it bad and ridiculous and what were they thinking? But at a first look, as a test audience I would have probably rated it as “meh, ok”.

“illegal” is overrated, anyway. Trump did a ton of illegal stuff and yet, here we are.

ah I get what you’re saying., thanks! “Good” means that what the machine outputs should be statistically similar (based on comparing billions of parameters) to the provided training data, so if the training data gradually gains more examples of e.g. noses being attached to the wrong side of the head, the model also grows more likely to generate similar output.

AKA “shit, looks like now we need to re-hire some of those engineers”

TBH those same colleagues were probably just copy/pasting code from the first google result or stackoverflow answer, so arguably AI did make them more productive at what they do

I only have a limited and basic understanding of Machine Learning, but doesn’t training models basically work like: “you, machine, spit out several versions of stuff and I, programmer, give you a way of evaluating how ‘good’ they are, so over time you ‘learn’ to generate better stuff”? Theoretically giving a newer model the output of a previous one should improve on the result, if the new model has a way of evaluating “improved”.

If I feed a ML model with pictures of eldritch beings and tell them that “this is what a human face looks like” I don’t think it’s surprising that quality deteriorates. What am I missing?

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About 20 new cases of gender violence arrive every day, each requiring investigation. Providing police protection for every victim would be impossible given staff sizes and budgets.

I think machine-learning is not the key part, the quote above is. All these 20 people a day come to the police for protection, a very small minority of them might be just paranoid, but I’m sure that most of them had some bad shit done to them by their partner already and (in an ideal world) would all deserve some protection. The algorithm’s “success” in defined in the article as reducing probability of repeat attacks, especially the ones eventually leading to death.

The police are trying to focus on the ones who are deemed to be the most at risk. A well-trained algorithm can help reduce the risk vs the judgement of the possibly overworked or inexperienced human handling the complaint? I’ll take that. But people are going to die anyway. Just, hopefully, a bit less of them and I don’t think it’s fair to say that it’s the machine’s fault when they do.