treis

This seems like what triggers are for and how we do similar type things. Update trigger on order does select for update on the inventory and increases/decreases it as appropriate.

I don't think you really need that even. An indexed lookup is fast and you don't need to store a computed quantity generally.

I don't think the amount of notice is as important as "this totally is for sure going to wreck you" is. We generally know something is going to hit somewhere at sometime. Which isn't specific enough for everyone to act on

I would suggest that if every practical example contradicts your logic it is your logic that is wrong.

As someone who lives in Atlanta I can't imagine any way it's the second most livable city in the country.

It's because living in downtown Vancouver is expensive. Your rent probably comes close to covering the mortgage on one of those huge empty houses in the suburbs. That fresh baked good is probably ~$4 while the equivalent at Walmart is $1. No doubt it's a great lifestyle for well off DINKs. A lot harder to make it work for a family of 5 on 50k a year.

I hardly use Google search anymore in favor of ChatGPT. It's surely an existential threat. Google has a lot of layers of defense in Android, Chrome, Gmail/Accounts, and a stranglehold on internet ads. But at the center of that is search and search is being replaced by LLMs.

That is probably true but I also think it's unfair to blame the pilot. This was a last minute flight to a small airport for a medevac. It's easy to say that as pilot it's ultimately their responsibility to make a safe flight. It's quite another to let someone die because you're worried about making an unfamiliar night flight without Gps.

More than one thing can be true. Flying into the side of a mountain is an error by the pilot (obviously). It can also be true that if GPS wasn't being jammed it wouldn't have happened.

No, it's not necessarily true but it is a well trod path.

It says "they've entirely derisked capital" and now ~6 months later they raised twice as much. Lying is a strong word but that post clearly wasn't accurate at the time.

They've raised a lot of money and there will be pressure for an exit sooner rather than later.

I needed a website and did the same. I would say it's a mixed bag to do it from the command line codex. It nailed generating the code but lots of stuff was annoyingly off. Any copy it wrote was terrible but using it to expand and refine my writing was helpful.

I would say we are very close to the end of things like WordPress and templated websites. It's pretty easy to make a custom page.

Of course you can. Tape a 7 and 8 of diamonds together and boom 15 of diamonds

Interest would put you around median household income.

>This is also a datacenter. I imagine just about everyone living nearby knows its a datacenter. https://maps.app.goo.gl/wR4NgcWQVhJAy5Gy6

That's not much bigger than the two warehouses next to it.

Inference is profitable and demand can't be met. They might eventually overshoot the mark but it hasn't happened yet and doesn't appear to be on the horizon.

They aren't economical in the general sense. They are economical to provide frequency stabilization, grid efficiency, and maybe a few hours of demand shifting. They're not yet economical to store solar power during the day and discharge it at night. We are getting closer but I don't think we are quite yet there.

Not nearly big enough for data centers approaching 1 GW. Largest is 3 GWH which gets you 3ish hours.

Theoretically you can put as many batteries together but it'd be enormously expensive and run into the same supply chain issues.

Half the time you get 0 solar power.

Rude

Rude

I think you'd be better off getting 1% of a $40,000 card. Or maybe 10% of a $4,000 card is more realistic.

I think that's the problem at the moment. A much better LLM that doesn't use my battery is 20ms and <10mb of data away.

They won't have the years of chat history to customize the vacation.

ChatGPT is synonymous with non technical/work related LLMs. They're amassing a ton of user history. That history improves the product for the user because it has more context into the person. They can feed it back into model improvements and for advertising.

You can see a future where a user types in "plan a vacation for me" and ChatGPT coordinates everything from there. Those sorts of users aren't going to switch because model X is 10% cheaper or better.

I think this is off. LLMs are severely constrained by hardware and we've seen at least an order of magnitude improvement in flops since ChatGPT launched. Over the next couple of decades we are likely to see that level of improvement in memory capacity. There's likely at least a few step changes left.

Regardless, the point of the GP that we saw revolutionary changes in society within a few years of technology introduction is off. It took decades for the full impact of the pc, internet, or mobile to be seen. We're still in a very early phase of figuring out how to use LLMs.

Nothing contradicts AI psychosis psychosis by comparing a computer program to slavery

The first prototype of a cellphone was functional in the early 70s. Before that you had walkie talkies and farther back wireless communications.

We're just shy of 10 years since attention is all you need and just a few years past the first commercially viable LLMs. So in cellphones we are something like early 90s.

This isn't accurate. The first mobile phone came out in 1983. It took at least a decade before they started to become common.

You start by fixing the problem of people sleeping on benches and in tents. Then you go to those in cars, then those crashing on a couch, then those living 8 to a house, then families with small places, and so on. What the problem is keeps expanding until the resources allocated to it are spent.

It's not quite that black and white. You have fixed amount of policing resources and it goes to the most impactful crimes. If crime goes down then they start caring about petty stuff. If it goes back up then they stop.

This applies more directly to something like foster care. My state is going through a budget crisis and anecdatally the result is significantly fewer kids coming into and remaining in care. It moves at the margins so a borderline case that might have resulted in removal before now doesn't.

As you note it's unlikely that some problems can be completely solved. But our resource allocation is mostly fixed or varies based on circumstances beyond whatever problem is being solved.

Except for movie pass startups are marginally profitable on whatever they sell.