villasv

joined 2 years ago
[–] villasv@lemmy.ca 1 points 6 hours ago

The fact that the farmers are still making zero effort to isolate these animals from humans and wildlife is the main reason the animals need to be culled as soon as possible

[–] villasv@lemmy.ca 1 points 7 hours ago

I’m not making any proposals so not sure what you’re on about “this” intruding on anyone’s rights

[–] villasv@lemmy.ca -3 points 20 hours ago (6 children)

poor legal gun owners… thoughts and prayers

[–] villasv@lemmy.ca 1 points 21 hours ago (2 children)

(sorry for the late reply)

Aren’t these birds safe now, since they have recovered from the flu?

No

we don’t quarantine people permanently after they recover from the flu

Correct, and we also don’t have cull orders for humans.

Insisting they still be culled at this point serves only to set an example

Incorrect. This flock is compromised and is putting humans and other birds at risk

the infectious window’s “ship has sailed”, has it not?

No

But the animals don’t need to suffer at this point do they?

Right, they don’t need to suffer. They need to be either absolutely quarantined or destroyed. The owners are making zero effort to quarantine the birds, so it’s on them that the only option is culling.

[–] villasv@lemmy.ca 2 points 1 day ago (2 children)

Oof. That's egregious. So according to some people even though the CBC slips up and platforms this kind of moron, it's still not "pluralistic/bipartisan" enough. That's their whole deal: it will never be enough.

[–] villasv@lemmy.ca 1 points 1 day ago (1 children)

inference is the primary driver of data center build out now

Hmm maybe I'm not up to speed with latest developments then, but that sounds plausible.

[–] villasv@lemmy.ca 1 points 2 days ago* (last edited 2 days ago) (3 children)

I don't disagree, but your statement that there will be huge demand for inference compute doesn't necessarily imply that we need to worry about compute centers buildout for that, because inference consumes much lower resources than training and most of the compute center buildout we're seeing out there is for training, not inference.

inference energy demands are far more than training over time

In aggregate? Sure. But unlike training compute, it doesn't need to be centralized/colocated and it's way more energy efficient. If you were just making a case that we need more compute overall, I'd agree, I'd even say it's near consensus. But that's not what this legislation discussion is about. The subject here is power-hungry training infrastructure.

[–] villasv@lemmy.ca 2 points 2 days ago

the air conditioning industry booming /s

[–] villasv@lemmy.ca 5 points 2 days ago* (last edited 2 days ago)

It's always funny when we do the right thing for the wrong reasons.

Clearly this is coming from LNG lobbyists, because it's the BC industry that is most interested in gobbling up our energy matrix, and they don't have the insane valuations and Venture Capital that would allow them to compete with Crypto and LLM players for energy deals.

But in this fight between monsters, I actually don't mind taking the win of a province-wide kick in the balls of the Crypto industry because they have an outsized influence on Vancouver politics right now. And honestly, no relevant LLM training data-centers would be coming to BC anyway. Canada has no major players in the space and the US ones are treated pretty much as military-grade levels and they wouldn't dare offshore that amid this bonkers administration. So I only see this as a win with very low risks of unintended bad consequences.

While economically relevant right now, those kinds of projects are always a long term fuckup for whatever small town they decide to latch onto. Uprooting the only economic backbone of entire communities, they are most often short term gains for a few.

[–] villasv@lemmy.ca -1 points 2 days ago (5 children)

Inference compute is cheap and small. Training compute is power hungry and expensive.

[–] villasv@lemmy.ca 0 points 2 days ago

These applications are great, but they’re not what these compute centers are for. For those applications, a regular supercomputer will do. Those gigantic and power hungry data centers are used for LLM training, which is a VC-funded arms race that we don’t actually need to partake in.

[–] villasv@lemmy.ca 4 points 2 days ago* (last edited 2 days ago) (1 children)

What's up with that instance? The shittiest takes, either from lemmy.ml or sh.itjust.works

 

I've been going back and forth a few apps. Apple Maps and Google Maps fail me too often suggesting me to take streets without bike lanes. With OsmAnd I'm able to mark a few roads as "Avoid", but I end up marking half my city and sometimes I do need to go one block or two on those streets.

Is there an app that allows me to to plan a route explicitly prioritizing AAA lanes that works in Vancouver?

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