31337

joined 1 year ago
[–] 31337 4 points 30 minutes ago

Pipes are often in crawl-spaces or other outer extremities of structures indirectly heated by the warmth coming from the living spaces of the structure, so 55F is a good rule of thumb in some climates.

[–] 31337 1 points 1 day ago (1 children)

Hmm. I just assumed 14B was distilled from 72B, because that's what I thought llama was doing, and that would just make sense. On further research it's not clear if llama did the traditional teacher method or just trained the smaller models on synthetic data generated from a large model. I suppose training smaller models on a larger amount of data generated by larger models is similar though. It does seem like Qwen was also trained on synthetic data, because it sometimes thinks it's Claude, lol.

Thanks for the tip on Medius. Just tried it out, and it does seem better than Qwen 14B.

[–] 31337 -1 points 2 days ago (1 children)
[–] 31337 13 points 2 days ago (2 children)

Is this a real thing? I don't believe I've ever encountered this. I suspect they're actually being demeaning to men in general, or men who don't fit their idea of masculinity. I've encountered people like that. Though the opposite is more common (men, and women, demeaning women who don't fit their idea of what a woman should be like, or just demeaning women in general).

[–] 31337 6 points 2 days ago* (last edited 2 days ago) (3 children)

Larger models train faster (need less compute), for reasons not fully understood. These large models can then be used as teachers to train smaller models more efficiently. I've used Qwen 14B (14 billion parameters, quantized to 6-bit integers), and it's not too much worse than these very large models.

Lately, I've been thinking of LLMs as lossy text/idea compression with content-addressable memory. And 10.5GB is pretty good compression for all the "knowledge" they seem to retain.

[–] 31337 12 points 2 days ago (1 children)

In the U.S., it's from anger at the Democratic party. Mostly anger at, "when they go low, we go high," "reach across the aisle," "we need a strong Republican party," tolerance paradox, and that kind of stuff. Liberal economics isn't really compatible with leftism either.

[–] 31337 5 points 2 days ago

I've seen this term on Mastadon. I'm actually confused by it a bit, since I've always thought replies are to be expected on the Internet.

I think women have a problem with men following them and replying in an overly familiar manner, or mansplaining, or something like that. I'm old, used to forums, and never used Twitter, so I may be missing some sort of etiquette that developed there. I generally don't reply at all on Mastadon because of this, and really, I'm not sure what Mastadon or microblogging is for. Seems to be for developing personal brands, and for creators of content to inform followers of what they created. Seems not to be for discussion. I.e. more like RSS than Reddit (that's my understanding at least).

[–] 31337 1 points 4 days ago

No, just wood.

[–] 31337 1 points 4 days ago

My friend just hooks his laptop up to his TV, connects to his VPN, and plays popcorntime (streaming torrents). He used to use streaming sites, but those have been getting taken down left and right.

[–] 31337 3 points 4 days ago (2 children)

Most fireplaces are just for looks, and don't heat much at all. Wood stoves work a lot better. I think a cooler chimney would increase creosote build-up and negatively affect draft.

[–] 31337 6 points 4 days ago (1 children)

I think I've heard there are a lot of genetically male, but born female people in sports. I wonder if the same people are against those people playing in sports.

Idk how many transphobic people just care about specific issues. There's a lot of "groomer" rhetoric, hate, and general disgust. It's easy to get people to hate what they don't understand; and a lot of media is trying their hardest to cultivate hate against trans people to create an out-group, so they can control the in-group.

[–] 31337 1 points 4 days ago

Idk about this. I think most people care if their partners, sisters, daughters, and themselves can get healthcare that may involve an abortion. I think a lot of people do vote on vibes, and being "weird" is damaging. The Republicans are the party that won't stop talking about transgender people; I don't recall Harris mentioning transgendered people once.

I kinda agree with most of your other points. Economic well-being is what people vote on first and foremost. Dunno if celebrity endorsements actually hurt though. A thing to note is that, barring a tech advancement, recession, or depression, prices don't generally decrease. I.e. wages (and government assistance) needs to rise at about the same rate as inflation (preferably more than).

Harris lost because she was seen as not going to change much of anything from Biden. She even conceded to false narratives of the right (such as immigration), instead of providing an alternative narrative that could inspire people. The economic changes she ran on were uninspiring, and I'm not sure they would've helped most people (mostly people don't start small businesses, or even really have a desire to; not sure if downpayment assistance wouldn't just increased prices and fees).

 

I'm a bit confused why capitalists support Trump when he plans on doing stuff that I think would destroy the economy. Thinking of mass deportations and high, broad tarrifs.

I'm not sure if:

  1. They just don't care because they have enough wealth to weather anything.
  2. They don't think Trump will actually do these things.
  3. They're dumb and think it won't hurt the economy.
  4. They plan on trading wealth for more direct power. I.e. becoming oligarchs.
  5. They have other ideologies (racism, Ayn Rand-ism, accelerationism, Dark Enlightenment, etc) that they prioritize higher than obtaining as much wealth as possible.

Or maybe some combination of the above, or something else entirely.

Edit: by "capitalists," I mean the "elite" like Musk and his other billionaire donors. But I guess it's a good question for smaller donors as well.

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submitted 1 month ago* (last edited 1 month ago) by 31337 to c/[email protected]
 

On Tuesday, the New York Times published a long interview with Donald Trump’s former chief of staff John Kelly, who Googled an online definition of fascism before saying of his former boss:

Certainly the former president is in the far-right area, he’s certainly an authoritarian, admires people who are dictators—he has said that. So he certainly falls into the general definition of fascist, for sure.

Also on Tuesday, the Atlantic published a report that Trump allegedly said, “I need the kind of generals that Hitler had.”

The revelations have dominated discussions on Fox News, and prompted two-dozen GOP senators to call for Tr—haha, just kidding.

Instead, Democrats and their supporters once again contend with a muted reaction from the media, the public, and politicians, who seem unmoved by Trump’s association with the F-word, no matter how many times Kamala Harris says “January sixth.”

One exception was Matt Drudge, the archconservative linkmonger who has been hard on Trump, who ran a photo of the Führer himself. This proved the rule, argued Times (and former Slate) columnist Jamelle Bouie: “genuinely wild world where, on trump at least, matt drudge has better news judgment than most of the mainstream media.”

Debates about Trump and fascism have been underway for a decade now, and applying the label seems unlikely to convince or motivate anyone. But the lack of alarm underlines a deeper question that doesn’t require a dictionary to engage in: Why do so few Americans, including many on the left, seem to take seriously the idea that Trump would use a second presidency to abuse the law to hurt his enemies?

Maybe it’s because Democrats have studiously avoided confronting Trump about some of the most controversial, damning policy choices of his first term, or the most radical campaign promise for his second. You simply can’t make the full case against Trump—or a compelling illustration of his fascist tendencies—without talking about immigration. Immigration was the key to Trump’s rise and the source of two of his most notorious presidential debacles, the Muslim ban and the child separation policy. Blaming immigrants for national decline is a classic trope of fascist rhetoric; rounding our neighbors up by the millions for expulsion is a proposal with few historical precedents, and none of them are good...

 
 

"Judge shopping for me, not for thee"

 

"Fossil-fuel billionaire Kelcy Warren is about to land a knockout punch on Greenpeace..."

 

AI firms propose 'personhood credentials' to combat online deception, offering a cryptographically authenticated way to verify real people without sacrificing privacy—though critics warn it may empower governments to control who speaks online.

 

I use Google Shopping (the “Shopping” tab on Google) to see if local stores carry certain products, what they cost, how far away each store is, etc. It seems to mostly search national or large regional chains, but it was still pretty useful.

Is there any alternative to this (in the US)? The “nearby” function has unfortunately got shittier and shittier over the past year or so. It's gotten less “deterministic," just mixing results from local stores with e-commerce stores, further reducing usefulness.

 

I don’t remember how I heard of it, but just binged-watched it over the past few days. Ratings seem a little bit above average, but I found it very enjoyable. I liked that the mood oscillates between modern comedy and tragic comedy; and that it seems to implicitely critique modern society. The series almost feels like an allegory (or perhaps I’m reading too much in to it).

 

I've recently noticed this opinion seems unpopular, at least on Lemmy.

There is nothing wrong with downloading public data and doing statistical analysis on it, which is pretty much what these ML models do. They are not redistributing other peoples' works (well, sometimes they do, unintentionally, and safeguards to prevent this are usually built-in). The training data is generally much, much larger than the model sizes, so it is generally not possible for the models to reconstruct random specific works. They are not creating derivative works, in the legal sense, because they do not copy and modify the original works; they generate "new" content based on probabilities.

My opinion on the subject is pretty much in agreement with this document from the EFF: https://www.eff.org/document/eff-two-pager-ai

I understand the hate for companies using data you would reasonably expect would be private. I understand hate for purposely over-fitting the model on data to reproduce people's "likeness." I understand the hate for AI generated shit (because it is shit). I really don't understand where all this hate for using public data for building a "statistical" model to "learn" general patterns is coming from.

I can also understand the anxiety people may feel, if they believe all the AI hype, that it will eliminate jobs. I don't think AI is going to be able to directly replace people any time soon. It will probably improve productivity (with stuff like background-removers, better autocomplete, etc), which might eliminate some jobs, but that's really just a problem with capitalism, and productivity increases are generally considered good.

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