Until CA matches the TX and UT laws. Boiling the frog

If that's what they wanted there is no reason not to start with laws like the TX and UT laws. You need the boiling the frog when you are trying to push the evelope.

But somehow in the opposite (yet same?) way.

I always put asdf@asdf.com and it lets me download it

If they could find the power for the data centers, why can’t we find it for EVs?

But they didn’t find power for data centres. That’s one of their problems.

So there's no new capacity that went online for the new build-outs? None of that could've been used for residential capacity?

Sure there is. But some of the datacenters individually use as much power as an entire city.

When you're trying to build out dozens or hundreds of those across the country, there's no way we can ramp up capacity at that rate.

How long ago was that? Things have changed in the economy recently

No exactly! You’re describing a microkernel and a bunch of userspace servers. Look into Fuschia, Mach, or Android’s Binder if you’re interested it this

Do you need a notebook to remember who you are? The point is to update the model weights so it learns.

No, but I don't need floating point weights either. My evolved biological systems work very differently from artificial digital systems.

My point is that it's not the "model" that is the thing that is demonstrating cognition here, it's the "system" that uses the model and stores information and can retrieve it later. To that system, these notes are more the equivalent of my memories than my notebooks.

These are not "memories", as with every new session these are entirely new, never-before seen files that the "system" may or may not use.

And it is not "learning" (which was the initial claim) as the system never learns beyond what was already there in the training data, and any new information you supply are new data, from scratch, that is immediately forgotten once the session is over.

It's easy to prove: start a new session in your project and ask "what is this project about". Two days from now, in a new session, ask the same thing. Observe how in both cases it re-reads the files, greps source code etc. Meanwhile a system with actual memories and learning wouldn't have to do that.

Yeah, let's just boil the frog here. Makes sense.

You mean like today?

And the blockchain.

You could say the same to tech workers after AI.

And you'd be right. Forbidding efficiency improvements in order to preserve jobs is the correct solution approximately never.

Do you expect US government to create a huge regulated industry similar to health insurance to keep tech workers employed?

So what?

Are you arguing that since we think we're all special that we should be accepting that other people think they're special?

Meanwhile, people getting laid off (just so the jobs could be exported to countries with more poverty and lower pollution, worker's rights, and standards for working conditions) were getting berated that they should "learn to code" for decades, while we laughed and discussed our stock options.

> while we laughed and discussed our stock options.

We? Sorry, I'm one of the "newer" engineers that joined the industry right before the AI bubble.

I didn't laugh or discuss my stock options. I accepted what jobs were available post-COVID crash.