Fundamentally due to it’s design, LLMs are digital duct tape.

The entire history of computer science has been making compromises between efficient machine code and human readable language. LLM’s solve this in a beautifully janky way, like duct tape.

But it’s ultimately still a compromise, you’ll never get machine accuracy from an LLM because it’s sole purpose is to fulfill the “human readable” part of that deal. So it’s applications are revolutionary in the same way as “how did you put together this car engine with only duct tape?” kind of way.

The yellow sticker usually correspond to what tote they belong in and the order they’re in for the delivery route, first thing you typically do is unpack a tote in the truck and sort them by number for ease of access.

My brain wants to trigger this sorting mode whenever I grab my packages, and it just reminds me of that terrible job.

Amazon has a system of desperate contractor companies that are absolutely reliant on amazon since they own the warehouses, trucks, and everything, but are also a moment away from having their contract ended, basically destroying the company. As a result you’re not really respected even if your employer tries hard to, they just can’t care for employees at risk of dissolving.

Used to be an Amazon delivery driver. Cursed with the knowledge of what all those stickers mean on my packages.

Also you’ll start noticing their massive delivery trucks everywhere.

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