

Very cool. I’ll need to sit down and read the full spec, but I’ve got some FastAPI apps where I could see this being useful.


Very cool. I’ll need to sit down and read the full spec, but I’ve got some FastAPI apps where I could see this being useful.


Yeah, hi, um… Fuckface McParasite… You have literally zero fucking say over what people do in their home you fucking moron. If that means your precious fucking lightswitches wear out faster, too bad, so sad.


More circular financing. Definitely a sign that everything is going great.


Well, yes it does, but I’m not sure what story exactly. It’s certainly not the easy “Trump did it” that we would - with good reason and precedent - usually assume. Seems like he actually inherited this one.


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The really obvious question here is “Why should the president be the final arbiter of what is or isn’t accurate history?”
Absolutely there’s a difference. LLMs, when it comes to this specific task, are better. That’s why they’re being used here. It’s a job they are uniquely well suited to. They do indeed come with high hardware requirements, which is why you’re not forced to use them, and why they provide the option to offload the work to a cloud service.
Personally I would absolutely not want to ever feed my documents into an off-device model, but the point of self-hosted software is that it does what you tell it to and they absolutely should include letting you make bad decisions.
I think you’re under the impression that the difference between those things is far greater than it actually is. Large Language Models work by developing statistical maps of associations. That’s discrimination. They’re a direct evolution of categorization models. The ability to associate a hash of a JPEG with “cat” is the same as the ability to associate “How are you?” with “Great, how about you?” It’s all associative mapping. LLMs are just the current leading edge of that technology. If you want to, for example, generate a list of tags that describe a document, an LLM is the best tool we currently have for doing that.
To put it another way, what you term “discriminative AI” is “generative AI.” It’s generating a category or list of categories in response to an input. That’s not functionally different than generating a sentence in response to a sentence, it’s just an order of magnitude less complex. You can argue terminology but the technology exists on an evolutionary curve, with no real hard boundaries.
Paperless and Papermerge have always done a lot more than just OCR. If that’s all they were, most people can do that already on the software that comes with their scanner. The core selling point of these applications is automatic categorization, sorting and tagging, and those have always relied on machine learning tools. Literally the first thing you do after setting Paperless up is start training the AI.
what’s the best alternative?
You’re asking for suggestions for an automatic document categorization tool that doesn’t use any automatic document categorization?
It reads as especially hysterical in this context, because Paperless is an automatic document categorization system, and I’m really sure what they think the automatic part of that is if it’s not “AI” of some broad description. Paperless, Papermerge et al are basically wrappers for machine learning tools and have been for as long as they’ve existed. LLMs are a natural and obvious fit for the kind of work these applications exist to do.
This just feels like someone reading “Improved AI pathfinding” in the patch notes for a video game and screaming “OH MY GOD IS NOWHERE SAFE?!”
It’s possible, but I think it’s more likely that the senile old man screamed at them to do it and they said “Yes sir” because it’s easier than telling the diaper shitting toddler he can’t have his bottle. They’ll have thrown together some kind of incredibly flimsy justification under one of the existing - but largely inapplicable - legal avenues knowing full well that it’ll fail in court but also that that’s tomorrow’s problem and hopefully by the time it does the old fart will have forgotten what he was mad about.
This is basically how most of “Trump does X” goes when you get down to it. The stuff that actually sticks is the big projects that he rubber stamps on behalf of his coterie of Wormtongues, while his own impulsive demands largely get implemented haphazardly and with little thought because no one besides grandpa actually cares.


This article is seriously underselling the problem.
Yes, all of this is accurate, and its good data for people fighting back against data centres. They produce shockingly few jobs, and the most highly paid of those will likely be experts moved in from elsewhere.
But there’s a far bigger problem; AI data centres have no path to profitability. The cost of GPUs is so astronomically high and the depreciation so insanely fast that even if 3,000 - 4,000 data centres worth of AI compute demand materializes (it won’t; companies like Meta are already selling their own unused compute because demand is so weak), they still won’t be profitable, ever.
The article talks about how the permanent employment offered - on paper - is in the tens to low hundreds and that’s true, but the real employment is mostly going to be zero. In five years time 99% of these projects will be abandoned before completion, or turned into skate parks.
- Doubt
Correct. My immediate thought here is “Under what law?”
They’ve already gone through this. Trump’s initial gambit, the IEEPA, got comprehensively struck down. That leaves him with two options; a law that was intended to address balance of payments issues (very likely to get stuck down in its own ongoing legal trials because, tldr, balance of payments issues haven’t existed since they moved to fiat currency), which can only be used to impose tariffs of up to 15%, or a law that can be used to apply sector specific tariffs but only after an extensive investigation. That means they actually have to be able to justify, in court (because they will get sued by all the US buyers affected by these tariffs) the actual economic impact that is being mitigated.
The former is a non-starter - capped at 15%, has to be applied globally, not to one specific country, and based on super shakey legal grounds, and the latter will collapse the moment they’re asked to show their work.


Thank you for being one of the blindingly small number of Americans to recognize this.
You’re absolutely correct. These performative “Please tell me I’m a good person” apologies ring hollow. It’s just #notallmen all over again.
I’m sure OP is a lovely person. But we don’t want to hear it. We are not Catholic priests waiting to absolve left-wing Americans of their sins, and quite frankly, we’re too busy shovelling our way out of all your shit to give a damn if any of you are good people or not.


Out of curiosity, why develop your own instead of contributing to RenPy? Not saying there can’t be good reasons, just curious what they are in this case.


Except the actual MMO depicted in SAO fucking sucks. Like, once you remove the whole “Oh my God it’s like I’m really there” hyper-advanced simsense VR aspect, it’s a really shitty game. The only possible builds are DPS and Tank, there’s no magic, no ranged, nothing to make stealth viable. You can go into crafting but that’s about it for any other skills. The whole “unique skill” mechanic is basically just pure “Fuck you” RNG and would be impossible to balance. Loot gets handed out based on last hits so fuck cooperation. It’s a mess. If you made an MMO with modern tech that perfectly recreated the mechanics of SAO, no one would play it.


The issue is that everyone thinks computers operate on magic, so they just ignore the idea that there might be practical limitations on doing the things that they want to do.
In reality there is no means of age verification that isn’t also a form of identity verification. And if you asked people “Should everyone have to hand over their government ID to private companies in order to use the internet”, you’d see much lower numbers of positive responses.


Imperialist TR scum in my comments section?! The Vanu will see an end to your reign of terror, just you wait!
Yes, Riven really improved on that aspect, by a lot. The puzzles feel incredibly natural and purposeful. Everything in Riven serves as world-building. Everything has a reason to exist. And the puzzles flow naturally together. It’s a game of discovery that rewards exploration. I’d absolutely recommend the recent remake.