The official hosting of it has censorship applied after the answer is generated, but from what I heard the locally run version has no censorship even though they could have theoretically trained it to.

If he was that competent why would he resort to openly pumping and dumping meme coins in public just prior to this stunt.

He has some dangerous strings he can pull, but that doesn’t make him a good puppet master.

Correct me if I’m wrong but I’m pretty sure he gave an outlandish bid for Twitter to manipulate it’s stock prices when he pulled put, but he was sued into following through.

I don’t think he ever wanted to buy it, or at least he wanted to crash it’s value to come back and buy it on the cheap.

There are multiple cases where pure chance and human hesitation prevented all out nuclear bombardment in the Cold War.

So for that alone we are extremely lucky.

As a pansexual I feel that Bi and Pan have enough differences to both be justified while the others are micro labels (not invalid, just less useful as labels).

But I recognize I’m drawing that line very conveniently for myself.

The people can, but companies still need some kind of income to exist. The owners/ceos will just golden parachute away from the corpse

In order to tangibly pay employees/rent/servers a company needs either profits, subsidies, or a ponzi scheme inflated stocks.

Eeeeeh maybe not “CP settings”…

In a D&D game that I got in through Roll20 matchmaking. One of the players asks if I want to join another campaign with his friends, said yes.

One of those friends is now my fiancee that I moved states for. The original guy ghosted all of us in a harsh way but I’ll forever owe my new life to him.

Theoretically we could slow down training and coast on fine-tuning existing models. Once the AI’s trained they don’t take that much energy to run.

Everyone was racing towards “bigger is better” because it worked up to GPT4, but word on the street is that raw training is giving diminishing returns so the massive spending on compute is just a waste now.

What resonated with me is people calling LLMs and Stable Diffusion “copyright laundering”. If copyright ever swung in AI’s favor it would be super easy to train an AI on stuff you want to steal, add in some generic training, and now you have a “new” piece of art.

LLMs and Stable Diffusion are just compression algorithms for abstract patterns, only one level above data.

Huh, didn’t know that! I mainly mentioned it for the fact that it was crammed into products that didn’t need it, like fridges and toasters where it’s usually seen as superfluous, much like AI.

I wonder if we’ll start seeing these tech investor pump n’ dump patterns faster collectively, given how many has happened in such a short amount of time already.

Crypto, Internet of Things, Self Driving Cars, NFTs, now AI.

It feels like the futurism sheen has started to waver. When everything’s a major revolution inserted into every product, then isn’t, it gets exhausting.

I think the worst thing about a Mary Sue is when their success comes trivially or randomly.

What usually helps me is making the obstacle more specific and diving into those specifics when they’re problem solving. You’ll find most things we broadly group into large lumps, like martial arts, swordfighting, researching, medicine, ect. often have an overwhelming amount of details that not only separates good from bad, but also have specific dynamics that change depending on circumstances.

If you want to make the successes feel earned, include enough detail about the problem that you can tell a story with the challenges involved. If your focus is swordfighting convey the kinds of techniques your protagonist know then put them up against opponents that can counter those techniques so they have to learn. If you focus is a doctor then instead of seeking out the Medicine Flower™, try conveying the roadmap to making medicine to the audience then make a story out of the process.

I feel like Breaking Bad is a good example of this. It depends a lot on actual chemistry and every chemistry advancement is a plot point. Mainly it’s figuring out how to procure the ingredients and equipment without leaving evidence to get caught from.

As an aside, I’ve often wondered what would happen if everything was automatically adjusted for inflation.

So like cost of living inflates, but then income is adjusted and bank accounts are modified to be their true value before inflation.

Would this patch things up to be effectively 0 inflation? or (more likely) would this cause an absurd runaway effect?

For some reason I always have a habit of scroll to the bottom of any list and reading up. Like I wanna confirm how long the list is before working my way up

Can confirm, it’s also a thing in the US.

With streaming services they’re proving it’s not viable to run a resource hog of a service with a measly monthly subscription.

With social media they’re proving it’s not viable to run a resource hog of a service for free, even with advertisement.

So naturally the best plan to monetize AI is to run a resource hog of a service with a measly monthly subscription and a free version without advertisements. /s

I’ve begun to think of LLMs as compression algorithms for patterns. It can take an existing pattern and apply it on unusual subjects. Like take the pattern of a limerick and apply it to the patterns of Danny Devito, that’s the upper limit of their creativity. So rather than storing information, it stores these patterns making it seem more dynamic.

The way I see it, human creativity is the combination of patterns but in a chaotic non-analytic way. We make leaps of logic that without precise knowledge of our brains can’t be exactly replicated. Meanwhile LLM’s just do the basic combination of patterns that result in the most generic realization of any idea.

However the well dries up as soon as we stop training them. They’ll store the basics of any field but fail to replicate new developments or conclusions until trained.

CVS has a speech recognition system that just won’t forward me to a damn human.

And the nerve of them to constantly berate you about using the app, when I’m calling because the apps not working.

I’m early Gen Z with a kinda poor family. So I had CRT’s and old VHS but also grew up on the internet.

I feel an extreme gap between me and people a few years younger. I graduated in 2018 so I was some of the last people to have a traditional highschool experience. Before Covid, Zoom, and Chatgpt.

I also mostly grew up with computers instead of phones so Im only just now getting into TikTok, I’ll likely never truly revolve around it like many others (both older and younger than me).