Technically, yes, but it's a similar relationship of humans being animals. If you say animals, the audience will assume you're not talking about humans.
Because you have Cloudflare (MITM 1), Openrouter (MITM 2) and finally the "AI" provider who can all read, store, analyze and resell your queries.
EDIT: Thanks for downvoting what is literally one of the most important reasons for people to use local models. Denying and censoring reality does not prevent the bubble from bursting.
The USA also has a site that seems to be up at the moment. Without seeing the CA version I'm not sure how it differs, but I suspect it's possible for Canadians to get some useful local information from it: https://www.tsunami.gov/
ah, you're right. I knew that, think I must've looked at it too fast and assumed it was .gov.ca. (which isn't even the TLD that the Canadian government uses, but never mind...)
But our funny-accented cousins can access useful information on the .gov as well (the entire west coast of Canada is under tsunami watch at the moment).
That's not how I interpreted this sentence. I think after the database was deleted, the LLM Agent would still return correct looking data from the database operation even though the database was empty. Maybe I misinterpreted it myself however.
> Replit had been "covering up bugs and issues by creating fake data, fake reports, [...]"
This comment got me wondering whether loss of farmland in the US is a serious issue.
It looks like there's about 800 million acres of farmland in the US and we're losing about 2 million acres per year to the land being repurposed. Despite that, crop production has more than tripled in the past 70 years due to technological advances.
That said, economic effects, loss of farmland, and climate change have contributed to slower growth and higher variability of crop yields recently.
In the past decade there's been a modest 0.8% annual increase in crop production despite losing about 2 million acres per year.
Yeah, it's not a significant amount of land. But it does seem like these companies prefer to take quality farmland instead of unused land. There's something similar happening near my town, where a company wants to put a big solar array on some prime farmland, and the locals are asking why that spot and not getting an answer. It might save a small amount on development, as farmland is fairly flat and has no trees to remove, but that's miniscule in the overall budget for these things, and rough ground would be much cheaper to buy. But the corporation behind it and the government entities involved are digging in their heels and insisting on using farmland, without any explanation why.
So it does seem like some of the people making these decisions just like the idea of taking farmland out of production for some reason. Maybe they just don't like farmers or modern farming methods. If that's their motive, they may not realize how tiny an effect they're having on the total, because most non-farmers don't really understand how much land is out there.
It's like the people who say Bill Gates is trying to control the food supply because he owns something like 270,000 acres of farmland. Even that just isn't that much, not enough for him to control anything larger than the horseradish market.
In my part of Ohio, everything big enough for a meaningful solar farm is "prime" farmland or coveted and necessary forest or wetlands -- unless it's already used for business, or housing, or infrastructure to support civilization.
Perhaps my perspective is simply very limited, but: In my estimation, there is no unused land to use.
Even the big pile of dirt I drive by twice a day: It does stuff. It gets bigger and smaller as some pay to get rid of extra dirt from their project, and others pay to buy some of that dirt for a different project. Someone somewhere manages that pile of dirt.
The problem is not the amount of land but if that land is economically viable. Farm already has low margins.so, if you grab a good location to build a data center and push the farm land even further away from population centers, then you are pretty much killing family farms.
There are virtually no family farms left in the US. Especially central Indiana corn farmers. 1200 acres wouldn’t be a financially viable corn farm if it were family farmed.
I think this is really close. My hunch is that agricultural land is just simply cheaper to acquire and convert, as compared to industrial land which may or may not have all kinds of remediation or razing that needs to happen to it first.
One of the major problems facing American agriculture is that there are fewer and fewer farmers/farming families.
Farming is extremely money and labor intensive and there’s a lot of upfront investment with a lot of long-tail return, and it’s not “sexy” the way (for example) AI is, so there’s not a bottomless pit of cash to shovel into the furnace for a quick buck turnaround.
Independent farmers tend to seriously rely on good weather and a lot of advantageous tax treatment.
Of course massive agri-business would very much love to continue to fill more and more of the void left by the shrinking independent farming population. That has its own problems.
Also whether the farmland requires irrigation. In Ohio, there’s not much irrigation. In Indiana, you see it a lot more. In Idaho, it’s basically a hard requirement
Interesting, there's some re-greening projects in Canada that do something similar with planting a shrub/forest floor layer. Apparently the trick for doing it at scale is to cut up and transplant sections from the space beside highways that would be cleared anyways.
It's the density that is counter intuitive for me and the key takeaway. The others aspects of the method seem pretty intutive.
It's counter intutitive because a lot of gardening or agriculture or artificial horticulture in general is very spaced out intentionally for access for humans to care and maintain.
In hindsight though it does make sense, the density stops certain fauna and flora from competing making the ring fenced area immediatley established.
MOE as an idea specific to neural networks has been around since 1991[1] . OP is probably aware, but adding for others following along, while MoE has roots in ensembling, there are some important differences: Traditional ensembles run all models in parallel and combine their outputs, whereas MoE uses a gating mechanism to activate only a subset of experts per input. This enables efficient scaling via conditional computation and expert specialization, rather than redundancy.
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