

Wait we’re pretending WhatsApp isn’t spyware now?
Wait we’re pretending WhatsApp isn’t spyware now?
They will never be happy.
Seems like a good way to sell very expensive hot ends.
Phenomenal in “the unbearable weight of massive talent,” “adaptation” and “dream scenario”.
Also: wild at heart. Loved that film.
Edit: Oops replied to wrong parent. I’m with you on Leaving Las Vegas.
Click bait title (by the source not OP!)
Severe turbulence causes emergency landing, 25 injured.
This title is designed to make us go see “what corporate fuckup happened now” when this has nothing to do with the carrier.
The Littlest Hobo.
80s kids in Canada.
Link: https://youtu.be/0kabcD3r1Bs
Also: Today’s Special and The Polka Dot Door.
We do both.
A) use the language set by the user in their os/browser B) switcher shows the language name in that language
Done, easy, etc. IMO the hard part are great translations and designs that work in languages where every word is a novel. And yet, here we are.
There was a really interesting podcast on the AP style and its entrenched biases - but only available to subscribers:
https://www.canadaland.com/podcast/bonus-who-writes-the-rules-of-news/
Scummy landlord’s gonna scummy landlord.
Do it as an end user? Be part of the solution?
Documentation is one of the many ways to contribute that don’t involve coding.
Hot take: what most people call AI (large language and diffusion models) is, in fact, part of peak capitalism:
I could go on but hopefully that’s adequate as a PoV.
“AI” is just one of cherries on top of late stage capitalism that embodies the worst of all it.
So I don’t disagree - but felt compelled to share.
What is success here? The few founders and VC get filthy rich as the larger population dumps their money into Discord stock while the users and teams with limited foresight, who’ve moved their communities to discord, suffer?
I mean yeah I guess that’s the success Cory Doctorow warns us about again and again.
But that’s not my definition of success.
For context I’ve been on the receiving end of an IPO and the founders and investors made out like bandits while a fair number of employees were stuck holding the bags thanks to lock-ins, dilution and over priced shares.
Hoping this question is in good faith.
I think that depends on what we mean by “pay.”
My take:
If our lives are better/easier/safer/happier than the lives of those who grew out of wrongs committed by those of our own heritage / lineage, then yes, I believe we should endeavour to make their lives better.
Whether that’s financial reparations, return of property / land, sharing of resources, etc. should be up to communities to work together to decide.
Put another way, if my good fortune rests on the misfortune of others - even in the past - my personal take is that I am compelled to help where I can.
Sometimes that’s a simple as voting for the thing that benefits me less than others or me not at all because it aids those who need it most.
So yeah, we should “pay” but “pay” can mean so many things.
That’s just me.
So maybe we’re kinda staring at two sides of the same coin. Because yeah, you’re not misrepresentin my point.
But wait there’s a deeper point I’ve been trying to make.
You’re right that I am also saying it’s all bullshit - even when it’s “right”. And the fact we’d consider artificially generated, completely made up text libellous indicates to me that we (as a larger society) have failed to understand how these tools work. If anyone takes what they say to be factual they are mistaken.
If our feelings are hurt because a “make shit up machine” makes shit up… well we’re holding the phone wrong.
My point is that we’ve been led to believe they are something more concrete, more exact, more stable, much more factual than they are — and that is worth challenging and holding these companies to account for. i hope cases like these are a forcing function for that.
That’s it. Hopefully my PoV is clearer (not saying it’s right).
Ok hear me out: the output is all made up. In that context everything is acceptable as it’s just a reflection of the whole of the inputs.
Again, I think this stems from a misunderstanding of these systems. They’re not like a search engine (though, again, the companies would like you to believe that).
We can find the output offensive, off putting, gross , etc. but there is no real right and wrong with LLMs the way they are now. There is only statistical probability that a) we’ll understand the output and b) it approximates some currently held truth.
Put another way; LLMs convincingly imitate language - and therefore also convincing imitate facts. But it’s all facsimile.
Really?
I read your reply as saying the output is (can be) libellous - which it cannot be because it is not based on a dataset which resolves to anything absolute.
Maybe we’re just missing each other - struggling to parse each others’ output. ;)
Surely you jest because it’s so clearly not if you understand how LLMs work (at the core it’s a statistic model - and therefore all approximation to a varying degree).
But great can come out of this case if it gets far enough.
Imagine the ilk of OpenAI, Google, Anthropic, XAI, etc. being forced to admit that an LLM can’t actually do anything but generate approximations of language. That these models (again LLMs in particular) produce approximations of language that are so good they’re often indistinguishable from the versions our brains approximate.
But at the core they cannot produce facts because the way they are made includes artificially injected randomness layered on-top of mathematically encoded values that merely get expressed as tiny pieces of language (tokens) - ones that happen to be close to each other in a massively multidimensional vector space.
TLDR - they’d be forced to admit the emperor has no clothes and that’s a win for everyone (except maybe this one guy).
Also it’s worth noting I use LLMs for work almost daily and have studied them quite a bit. I’m not a hater on the tech. Only the capitalists trying to force it down everyone’s throat in such a way that we blindly adopt it for everything.
It’s all hallucinations.
Some (many) just happen to be very close to factual.
It’s sad to see that the marketing of these tools has been so effective that few realize how they work and what they do.
Emotionally.
Panasonic dumb plasma is going on 14 years. We’re hopeful we can get about 6-10 out of it.