The US produces much more natural gas than it consumes, so changes like this don't really make sense.
Europe started implementing these initiatives a couple of decades ago, it makes sense there as they are a net importer, with residential prices around 3x higher than the US. In my country a newly built house (very low energy demand) is often cheaper to heat with a heat pump than natural gas, especially if combined with solar PV - but that's still more expensive than a home in the US.
The most impactful usages are transportation, as everywhere basically everything is transported by road, and renewable electricity generation, so fossil fuels can be used elsewhere (residential, industrial, etc).
The problem is all these platforms in the first place, instead of trying to invent something new, if they would all just use Android with their own UI on top, then it would be possible to have native apps.
Imagine how many "TV" targets Netflix builds app for. I would not be surprised if it's in the hundreds. They are not going to build and maintain a fully native app for some obscure platform which 0.03% of their customers use, when they can just build a wrapper around their web interface.
I'm building a house (in Europe) and lead times on things are ridiculous now.
I ordered some plumbing parts from a well known German manufacturer in February and am still waiting, the retailer can't give me an exact date yet.
Same thing happened a few months ago when I tried to order a network switch, after a month and a half I cancelled the order.
I've just ordered appliances, that I won't need for a few months, just because I don't know how long they will actually take, and maybe on a month the price will have shot up.
It's an interesting way to think about it. For every word you say, every message you write, every task you do, every thought you have, every subtle cue you give, there is a statistically best response / follow up / output.
And all of that can distilled and stored into such a small amount of data. If that's really how consciousness works in our mind (just another representation of "output") it's fascinating.
The repercussions though could be concerning. On one hand it means things like consciousness upload will be possible. On the other hand it means security agencies can monitor people and figure out who is (literally) committing thought crime. They'd just need to search the space and figure out what weights a person's internal model runs on - and you wouldn't actually need that much reference material to do it. Basically Minority Report.
I think you are mixing two concepts. I was just talking about having an LLM that is able to replicate human thinking, which is different then having a precise person's brains turned into LLM weights.
In that second case the problems you are saying emerge. But I can understand why you conflate the two, since having a model that works like a human may unlock the ability to dump the brain into model weights.
Are there any countries that have actually done an exhaustive job of this? I'm from the UK, and I'd say they are pretty good, my parents live in a 300 person village, and they can get 50ish mbit internet through wires. But "rural" in the UK is very different from "rural" in some parts of the US. And this was done by a private company (although it was based on infrastructure built by the government).
Thanks, you're right, a quick google shows nothing... I could've sworn reading about how they're very bad... perhaps I was misremembering with standard printers?
My workflow is something very similar. I'd say one difference now is PRs actually take longer to get merged, but it's mainly because we ignore them and move onto something else while waiting for CI and reviews. It's not uncommon for a team member to have multiple PRs open for completely different features.
Context switching is less painful when you have a plan doc and chat history where you can ask why yesterday afternoon you (the human) decided to do this thing that way. Also for debugging it's very useful to be able to jump back in if any issues come up on QA/prod later. And I've actually had a few shower thoughts like that, which have allowed the implementations of some features to end up being much better than how I first envisioned it.
I've actually tried that and it helps. First I create a PRD type doc, then I have the AI break it down in a task doc, including code snippets where relevant. This helps it to think through edge cases before it starts implementing (oh we need X now, but that means we should have done task 3 differently to allow that).
Europe started implementing these initiatives a couple of decades ago, it makes sense there as they are a net importer, with residential prices around 3x higher than the US. In my country a newly built house (very low energy demand) is often cheaper to heat with a heat pump than natural gas, especially if combined with solar PV - but that's still more expensive than a home in the US.
The most impactful usages are transportation, as everywhere basically everything is transported by road, and renewable electricity generation, so fossil fuels can be used elsewhere (residential, industrial, etc).
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