PlzGivHugs

Isn’t the Beaverton supposed to be a satire website?

I ate the onion. Assumed it was “just” bad timing, but still.

I’m sure Carney would be happy to, so long as by “protect Canada’s ‘digital sovereignty’” you mean giving up sovereignty to the US and Trump.

Their older stuff was absolutely great. Theres a reason I tried to replace my original Logitech mouse with a duplicate twice. Its their more recent stuff (and esspecially more recent software) that have fallen off in quality.

The only reason they’re still so common is that you could swap out “Razer” in your comment with 90% of the other gaming or performance brands and it would be just as true if not moreso. I had to swap to razer after I had two Corsair mice failed in as many months, and what seemed like a software bug kill three Logitech mice (One I had been using previously, and two more bought to replace it, which were broken out of the box).

The last graph is total posts across Lemmy, so its only about 300,000 posts a month, although notably, about 250,000 of those are on a bot server no one is federated with.

I’d expect that, although I’ve noticed this trend continuing (and seemingly getting worse) for months now.

Looking at the more detailed breakdowns, it looks like there are a couple of servers (Lemmit.online, alien.top among others) with huge numbers of posts/comments that appear to be entirely bots. Are those counted in the stats? Could those be messing with the overall graphs? If Lemmit’s quarter of a million posts a month are counted, its going to make the monthly posts stat useless when even .world only has about 15k posts a month.

Edit: Comparing the graphs to the server list, it looks like Lemmit is counted, so the main graph is likely misleading. I did look through some of the bigger servers, and their rate of posting seemed fairly linear, but there isn’t a good way to check overall.

I’ve definately noticed it too. I’ve tried to look for stats, and most seem to indicate that there is plenty of activity, but I dont really see it. At this point, I can scroll through the day’s all feed in like 20 minutes, nonetheless my subscribed feed. I kind-of wonder if theres one or two instances with a lot of bot activity effectively inflating the numbers.

Edit: Is there a way to see monthly posts by instance, or compare percentage of posts? That would be an easy way to prove or disprove my bots theory.

Edit 2: fediverse.observer shows monthly (Or rather, total by month) local posts by instance but not federated, and their overall stats are warped by a few bot instances that you can’t filter out. That said, for local posts on a few of the big instances, the rate seems stable. That said, smaller instances are shutting down so I don’t know if that has an impact on the overall posting rate.

be paid a living wage

Not that you’re wrong, but the strike doesn’t even go that far. They not even getting paid for a large portion of their work, at all, so they’re asking to be paid for time at work that is currently unpaid.

When you’re talking about a difference of 9 Google Searches, an LED bulb running for 15 minutes, or running an AC unit for about a second, yes its not much.

Edit: Although notably, the training is the concerning part power-wise. That said, not using it doesn’t help that that much seeing as they’re mostly funded by speculative investment. The best course of action is instead through collective organization to strengthen the working class and push for stronger regulations.

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At this point, the Liberals have bowed to Trump (and got nothing for it), made largely symbolic genstures to limit immigrantion blocking primary those who are paying to be here while ignoring the workers we effectively enslave with the TFW program, done nothing about housing, and has blocked unions. At this point, might have well voted for Polieve (or, you know, someone sane).

And I’m guessing the most we can expect in response from Carney, is that he might not immediately bow to Trump again.

Am I missing something? The only time the article mentions cost is in trying to explain why fewer women drive EVs. They say the reason its popular is that suburbs can home-charge whereas urban areas don’t have charging infrastructure for most residents.

Not that I think you’re wrong, but its not what the article says.

Let me guess: Ontario, Québec, BC? The provinces with the most urban and suburban areas.

Edit: Yep, exactly as predicted for the obviois reasons. Not exactly news.

Tl;dr: EVs are good for the climate. People with shorter distances to travel and more infrastructure like EVs, those who have less infrastructure or are required to travel more have mixed feelings.

I went down this rabbit hole about a year ago, and didn’t have much luck. In the end, the best results I was able to get were from Steam’s Big Picture Mode on a Windows device, mostly launching Firefox (might have been Chrome?) with different launch arguments to immitate a smart TV.

Most available software either doesn’t support Linux well, doesn’t support streaming services and outside software, or doesn’t support non-kb&m input methods. You can get two, but never all three. You could try SteamOS, now that its out, but unfortunately my hopes wouldn’t be high for it to have all the apps you needs functioning.

You seem to be missing what I’m saying. Maybe a biological comparison would help:

An octopus is extrmely smart, moreso than even most mammels. It can solve basic logic puzzles, learn and navigate complex spaces, and plan and execute different and adaptive stratgies to humt prey. In spite of this, it can’t talk or write. No matter what you do, training it, trying to teach it, or even trying to develop an octopus specific language, it will not be able to understand language. This isn’t because the octopus isn’t smart, its because its evolved for the purpose of hunting food and hiding from predators. Its brain has developed to understand how physics works and how to recognize patterns, but it just doesn’t have the ability to understand how to socialize, and nothing can change that short of rewiring its brain. Hand it a letter and it’ll try and catch fish with it rather than even considering trying to read it.

AI is almost the reverse of this. An LLM has “evolved” (been trained) to write stuff that sounds good, but has little emphasis on understanding what it writes. The “understanding” is more about patterns in writting rather than underlying logic. This means that if the LLM encounters something that isn’t standard language, it will “flail” and start trying to apply what it knows, regardless of how well it applies. In the chess example, this might be, for example, just trying to respond with the most common move, regardless of if it can be played. Ultimately, no matter what you input into it, an LLM is trying to find and replicate patterns in language, not underlying logic.

The LLM doesn’t have to imagine a board, if you feed it the rules of chess and the dimensions of the board it should be able to “play in its head”.

That assumes it knows how to play chess. It doesn’t. It know how to have a passable conversation. Asking it to play chess is like putting bread into a blender and being confused when it doesn’t toast.

But human working memory is shit compared to virtually every other animal. This and processing speed is supposed to be AI’s main draw.

Processing speed and memory in the context of writing. Give it a bunch of chess boards or chess notation and it has no idea which it needs to remember, nonetheless where/how to move. If you want an AI to play chess, you train it on chess gameplay, not books and Reddit comments. AI isn’t a general use tool.