Yeah and disapprove +11 (aka 54%) is the lowest poll (which I see more as +8 considering the 3% ‘undecided’ block). It’s not even close to congressional or direction disapproval polls, and it’s still around where he was last time as president.
I don’t mean to sound combative, but a slight plurality of disapproval is not gonna cut the mustard.
Like, not as a personal dog, but the overwhelming amount of people complaining about the DNC just aren’t up to date on what’s happening
Fair point! I am not up to date TBH.
I guess I’m pretty jaded too. The DNC getting things together!? What is this?
53% unfavorable is not ‘in the dumpster,’ unfortunately:
https://d3nkl3psvxxpe9.cloudfront.net/documents/econTabReport_haeOEK5.pdf
https://www.economist.com/interactive/trump-approval-tracker
It’s better than his first term, and we re-elected him… If COVID couldn’t penetrate the bubble, I honestly don’t know what will.
It’s not like the sane among us are suddenly going to decide to go along with fascism
Oh you underestimate people’s self interest. If Big Tech continues on it’s trajectory to a kind of Theil-ish cyberpunk dystopia, most people are going to go along. Like, even I have super techy naturalized family that keeps using Google or Facebook stuff. It’s (seemingly) too essential.
That’s optimistic.
It’s assuming the Dem Party doesn’t sabotage their own candidates. It’s assuming they don’t campaign like it’s 1960 again. It’s assuming social media will somehow be reigned in.
It’s assuming there will even be a fair environment for an election, instead of the government (and whoever’s conflated with them) putting thumbs on the scales kinda like Hungary, or worse. It doesn’t take much pressure to sway elections in environments this polarized.
We have to shout for him
We can’t.
The people who need to hear it are in another bubble and never will.
TBH I dunno how to fix it anymore. Even ‘revolution’ like many on Lemmy fantasize about will not penetrate, and most people don’t want to understand what propaganda and algos are doing to them.
In the future, when we’re transcendent tentacled robofurries doing poly in virtual space, on drugs (think Yivo from Futurama), we will look back in confusion at why so many people hate homosexuality so much. Like… don’t they have other things to worry about?
Or humanity will be all dead, I guess.
And I’m talking about the mega conservatives protesting this; at least the Vatican is baby stepping and trying to minimize their cruelty.
Rimworld’s DLCs are kinda assumed purchases for the modding scene, too. I feel like this drives a lot of their sales TBH.
Coffee Stain’s another good example on the bigger end.
It does seem like there’s a danger zone behind a certain size threshold. It makes me worry for Warhorse (the KCD2 dev), which plans to expand beyond 250.
Funny thing is Teslas already have something more sophisticated. They could pipe the FSD’s diagnostics to a HUD as a more polished, standard ‘overlay’ for the driver, literally run with the car’s own hardware. You’d think Tesla execs would know about that since it’s literally their business, and predates the LLM craze.
…But no.
This is so stupid.
To me, “AI” in a car would be like highlighting pedestrians in a HUD, or alerting you if an unknown person messes with the car, or maybe adjusting mood lighting based on context. Or safety features.
…Not a chatbot.
I’m more “pro” (locally hostable, task specific) machine learning than like 99% of Lemmy, but I find the corporate obsession with cloud instruct textbots bizarre. It would be like every food corp living and breathing succulents. Cacti are neat, but they don’t need to be strapped to every chip bag, every takeout, every pack of forks.
Not everyone’s a big kb/mouse fan. My sister refuses to use one on the HTPC.
Hence I think that was its non-insignificant niche; couch usage. Portable keyboards are really awkward and clunky on laps, and the steam controller is way better and more ergonomic than an integrated trackpad.
Personally I think it was a smart business decision, because of this:
It doesnt have 2 joysticks so I just buy an Xbox one instead.
No one’s going to buy a steam-branded Xbox controller, but making it different does. And I think what killed it is that it wasn’t plug-and-play enough, eg it didn’t work out of the box with many games.
With respect, this doesn’t make any sense. If you want a joystick controller, just buy an Xbox controller that everything’s compatible with anyway?
The trackpads shine when one needs to emulate a mouse/kb in non-controller games; a nightmare with joysticks.
My sister still has a working one that she treats like a religious artifact, as it’s the best way to play mouse/KB games from the sofa.
I see why they discontinued them though. They need custom configs for most games, and I think most people don’t like that much tweaking.
A lot, but less than you’d think! Basically a RTX 3090/threadripper system with a lot of RAM (192GB?)
With this framework, specifically: https://github.com/ikawrakow/ik_llama.cpp?tab=readme-ov-file
The “dense” part of the model can stay on the GPU while the experts can be offloaded to the CPU, and the whole thing can be quantized to ~3 bits average, instead of 8 bits like the full model.
That’s just a hack for personal use, though. The intended way to run it is on a couple of H100 boxes, and to serve it to many, many, many users at once. LLMs run more efficiently when they serve in parallel. Eg generating tokens for 4 users isn’t much slower than generating them for 2, and Deepseek explicitly architected it to be really fast at scale. It is “lightweight” in a sense.
…But if you have a “sane” system, it’s indeed a bit large. The best I can run on my 24GB vram system are 32B - 49B dense models (like Qwen 3 or nemotron), or 70B mixture of experts (like the new Hunyuan 70B).
DeepSeek, now that is a filtered LLM.
The web version has a strict filter that cuts it off. Not sure about API access, but raw Deepseek 671B is actually pretty open. Especially with the right prompting.
There are also finetunes that specifically remove China-specific refusals. Note that Microsoft actually added saftey training to “improve its risk profile”:
https://huggingface.co/microsoft/MAI-DS-R1
https://huggingface.co/perplexity-ai/r1-1776
That’s the virtue of being an open weights LLM. Over filtering is not a problem, one can tweak it to do whatever you want.
Grok losing the guardrails means it will be distilled internet speech deprived of decency and empathy.
Instruct LLMs aren’t trained on raw data.
It wouldn’t be talking like this if it was just trained on randomized, augmented conversations, or even mostly Twitter data. They cherry picked “anti woke” data to placate Musk real quick, and the result effectively drove the model crazy. It has all the signatures of a bad finetune: specific overused phrases, common obsessions, going off-topic, and so on.
…Not that I don’t agree with you in principle. Twitter is a terrible source for data, heh.
Nitpick: it was never ‘filtered’
LLMs can be trained to refuse excessively (which is kinda stupid and is objectively proven to make them dumber), but the correct term is ‘biased’. If it was filtered, it would literally give empty responses for anything deemed harmful, or at least noticably take some time to retry.
They trained it to praise hitler, intentionally. They didn’t remove any guardrails. Not that Musk acolytes would know any different.
Traning data is curated and continous.
In other words, one (for example, Musk) can finetune the big language model on a small pattern of data (for example, antisemetic content) to ‘steer’ the LLM’s outputs towards that.
You could bias it towards fluffy bunny discussions, then turn around and send it the other direction.
Each round of finetuning does “lobotomize” the model to some extent though, making it forget stuff, overuses common phrases, reducing its ability to generalize, ‘erasing’ careful anti-reptition tuning and stuff like that. In other words, if Elon is telling his engineers “I don’t like these responses. Make the AI less woke, right now,” he’s basically sabotaging their work. They’d have to start over with the pretrain and sprinkle that data into months(?) of retraining to keep it from dumbing down or going off the rails.
There are ways around this outlined in research papers (and some open source projects), but Big Tech is kinda dumb and ‘lazy’ since they’re so flush with cash, so they don’t use them. Shrug.
MAGA Outrage Over Director Saying Superman Is an Immigrant
(We’re about a decade too late, and our engorged trolls are now our leaders, but still…)
…They don’t use it over API?