tomelders

In other words - "We don't like the reporting around how bad the economics of AI are, so we're cherry picking our own data, presenting it out of context, and asking you to look at it through rose tinted spectacles."

SpaceX's has disclosed that they're loosing $2Bln a quarter on A.I - and rising - in their IPO documents.

Anthropic told the Department of War-nee-Defence that they'd made $5bln total, which is a lot LOT less than what they're spending.

We'll see what's in OpenAi's IPO later this year I guess. I'll be very surprised if they're losing less that $100bln a year.

What are you talking about Willis?

I do think local models are the future, but there's still the question of cost to be answered. Even if there's some slew of effincency improvements that mean an LLM can run locally on consumer level hardware on an affordable budget (and that's a big "if"), there's still the cost of training the modles to consider.

Assuming we end up in a future where people pay to run multiple smaller models on their machines for specific tasks (e.g. A summariser model, a python coding model, or however fine grained/macro you want to go), the people training those models will need to turn a profit.

So how much will that cost? And how often will consumers have to pay? Models have a very short self life. Say you have a dedicated python coding model - that needs re-training every time there's a significant update to the language itself, any popular packages, related technologies (e.g. servers, cloud infra etc). So how often will users need to "upgrade" to the lastest version? It's going to be "frequently".

And it still needs the language stuff on top of that. Users aren't going to interact with a python coding model by writing python. They're going to use natural language. So the model needs all that stuff. And they're going to give it problems to solve. What if you asked the model "Write me a Bezier curve function". It needs to know about bezier curves, which have nothing to do with Python. So where do these LLM providers draw the line on what makes it into the training data and what doesn't?

And if an LLM doesn't know what a Bezier curve is, that's not going to stop it from just hallucinating an answer. If a significat proportion of prompts resulted in a response that said "Sorry, I don't know what you're talking about", then people will just stop using it. The utility of these things will be quickly overshadowed by the frustrations.

The way these frontier models have been introduced and promoted has set unrealistic expectations, and there's no putting the genie back in the bottle.

My understanding is that the great filter theory means this is bad news for us humans here on earth. And considering the state of the world right now, it's especially ominous. Fate loves irony.

The apps not working either. I guess it’s just down.

This is ridiculously serendipitous. I was looking for a tutorial for this exact shader for a game I'm working on.

In music, the performer can either perform the music as written, or they can inject emotion into the piece by changing the velocity and timing of the notes. This app lets you inject the emotion through timing, even though you don’t actually know how to play piano.

It also lets you focus entirely on the “feel” of the piece.

I found it really fun.

“This article is for paying subscribers only”

The Free Press

Good to hear it’s not just me. Syntax highlighting and old fashioned code completion are essential for me, but CoPilot is a distraction.

I think “reading” code is my least favourite part of the job, and CoPilot means I have to spend a lot more time reading the code it generates, trying to figure out what it’s trying to do, then realising it’s wrong and I still have to write it myself. It’s rapid fire context switching.

But turning it on only when I need a second opinion seems like a better way to use it.

It boggles my mind. CSS isn’t hard anymore.

Hoverboards.

Are these really hacks? This is just using ChatGPT normally and as intended.

I made an iOS game years ago along similar lines called “Block Depot”.

It was like a warehouse for Tetrominoes, where you’d get orders and deliveries. So you had to get blocks out, and put blocks in.

Nobody played it.