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Comment Re:Take cover (Score 1) 47

Even LLMs are great for just the morass of shitty business data. Like we get PDF orders from a bunch of our customers, they don't order enough or in a standard enough format to automate it properly but most of the time an LLM can digest that, match up the products and produce a result at least as well as a human can. There's just not much opportunity for it to go wrong, the product list is constrained, we also have it report out all the totals from the PDF so if the dollar amount doesn't add up we won't accept it. It's not solving the big business problems, but there are a lot of small problems where they can be really useful

Comment Re:I mean ... (Score 1) 127

But presumably this AI system is creating order tickets and those do ultimately feed into supply chain stuff. I don't work in a taco field, but i've seen all kinds of weird knock on effects from people fat-fingering numbers on factory systems. I'm sure there's a process to go back and edit the order ticket to remove that number, but you have to ask yourself if a taco bell employee cares enough. They'll probably neither fill 1800 water cups nor edit the ticket - they'll just hand out one and laugh about it

Comment Re:A US example (Score 1) 33

Also it cost about $5.2M to build the plant, and it saves about $300k in annual fuel costs. The city got various grants to reduce their initial outlay, but it's a pretty long breakeven (plus they needed to replace the trucks with LNG variants, though I believe that they were already due for replacement anyway) Certainly it seems amazingly wasteful to just flare the methane from wastewater and landfill facilities, but maybe if we captures it at a larger scale the costs for that equipment would fall.

Comment Re: Comment Subject: (Score 1) 32

I've played with it a little and it's amazing. I submitted a photo when I was charging my car with no real words or signs. It clocked a Colorado license plate, a Wyoming plate, identified the charging station, then identified the red brick and blue awnings typical of a mid 2000s front range Walmart. It guessed I was one town over, but it's an honest mistake and I don't think I could have told the difference

Comment Re:Amazing (Score 1) 61

I am a CS graduate and understand the tyranny of confirming that something is prime, but if you'd asked me to guess how long the longest known prime number was I think i'd have guessed more digits than that.

Comment Re:Amazing (Score 1) 61

I'm in the opposite camp where it almost seems unremarkable. I realize the way exponents work and that is a VERY large number, but intuitively computers seem so fast and we have so many of them that the fact we've only been able to check 136,279,841 of them is surprising.

Comment Re:Carbon Credits (Score 0) 54

Yeah this is totally normal, and how my employer does it, but it does also have a significant early adopter advantage. It's pretty easy and cheap for the first 3rd of companies to go all-renewable because they can put a big pile of solar into the grid and draw out the same amount and ta-fucking-da, net-zero. Even if that does mean you are providing solar to someone else during the day and using "their" dirty coal power at night. On the one hand, this is great. Amazon invested billions in clean power and we should totally applaud that. On the other, perhaps they should be held to a higher standard because they can surely afford it - the next step needs to be getting to net-zero on an hourly basis by investing in storage, or maybe getting all the diesel vans off the road and brining on more electric ones.

Comment Re:Competition with Batteries (Score 2) 131

I wonder if we could retrofit water towers? They already have pumps that fill the tower and presumably most of the time the tower doesn't need to be completely full. I imagine they are already smart enough to only pump water when the level is really low or the power is really cheap, but you could have them run that water back downhill again at peak hours and run the power back into the grid.

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