https://www.techpowerup.com/gpu-specs/xbox-series-s-gpu.c3683
https://www.techpowerup.com/gpu-specs/steam-deck-gpu.c3897
The Series S is a much faster machine. Larger GPU, faster memory, double the CPU cores, higher clocks it can keep at full speed more frequently; it’s really no contest.
Not to say the Deck is bad by any means.
But if you were to sell it, and you are worried about fidelity, I’d save up until you are ready to immediately trade it for a Steam Machine.
Washington worried about political parties overpowering the checks before he was even president, and worried until his deathbed. This was taught in school, IIRC.
That I would not even try to predict. I don’t know how far this bubble burst will go.
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they have their own ai
They don’t make it:
https://proton.me/blog/lumo-ai
Lumo is based upon open-source language models and operates from Proton’s European datacenters. This gives you much greater transparency into the way Lumo works than any other major AI assistant. Unlike Apple Intelligence and others, Lumo is not a partnership with OpenAI or other American or Chinese AI companies, and your queries are never sent to any third parties. Our research and development will remain focused on open models, which we will continuously improve and augment.
Per discussions online, it seems to be a mix of small Mistral and Olmo models, and GLM for the max tier.
This’d be like arguing a company hosting database software to serve a product is a “database software company.” They are a hosting some tool made by someone else, with a sticker.
they also have the most ridiculous brand fans.
Perhaps. I’m a bit scared of how much critical mass they have, TBH. But this does not make them an AI company.
It’s not that simple, as:
Other companies/institutions have heavy investments in OpenAI.
Other companies’ expected long-term revenue depends on OpenAI.
They are the “face” of LLMs to finance world. If they tank, the illusion shatters, and investments pulls out of “AI” everywhere.
I agree that Google, Meta, the companies will be fine, as you said. Nvidia/AMD will be fine. Even XAI will be fine. The physical companies and their business aren’t going anywhere.
But their stocks will drop precipitously, and drag others into the rut with them like a black hole.
But that paragraph links to this as a reference: https://www.anthropic.com/research/end-subset-conversations
In that link, it’s clear “abusive users” means users trying to repeatedly bring up prohibited topics. Anthropic is many bad things, but not insane; they know their models can’t be “abused” themselves, they can be abused as a tool.
Well, the actual post is talking about users, not “hurting the model’s feelings” like the header seemingly implies.
I’m not a Claude apologist or anything, but this is a misleading post, IMO.
Yeah.
I don’t like Anthropic’s long term prospects, but OpenAI is specifically in trouble, near term.
Their whole premise was becoming a Facebook-style “where else are you gonna go?” captured market on the consumer side, and that is clearly not happening. They wanted an enterprise monopoly, and those business customers are looking elsewhere.
Their ass is cooked.
Can we please not have nypost and other tabloids in /c/technology?
It’s efficient for the grocery store, too. There’s no chance of shoplifting, less foot traffic they have to deal with and clean up after, less dealing with problematic customers.
Honestly, I could see future grocery stores being 90% curbside, with only a walk-through section for produce. This would save tons of space and work.
I don’t think it’s actually trained per game. Maybe per type of game.
I do remember Nvidia offering individual game finetuning as a service to game devs for a hot minute, but really, these models generalize well. A model they spent time tweaking and training on a big basket of games might work better than a finetune for one specific game, as it would just get overfit and perform worse in edge cases.
I’ve seen this happen in older GAN models, and newer diffusion ones, and especially in LLMs. Even with the exact data the model is going to work on, finetuning can make it perform worse with the actual stuff it’s going to miss or mess up.
“Supporting” and “working well” are different things though.
Without the low precision/specialized instructions of newer hardware, there’s just a fundamental limit to what can be done without the overhead of FSR being too much. Though there are certainly some implementations that could work on older hardware, I’m sure.
I think it needs depth buffer access and a UI mask, but not necessarily deep integration beyond that? At least for the FSR3 shader code I’ve looked at personally.
This is not out of the question for generic integration.
I’m less sure if FSR4 though, as I think that was a pretty big leap over 3.
I used to think this, and maybe I’ve been lucky, but I get fresh produce whenever I try.
I would never get a huge produce order curbside, but I use it for the odd thing here and there.
I haven’t played a skating game since the old Tony Hawk games. Honestly, this is tempting me to buy Skate.
Is anyone here actually playing the mod?
I’m pretty sure delivery made it obsolete?
Curbside delivery is awesome, in many situations.
And they can afford to leave a few checkers in there for the situations that call for in-store shopping. That’s where self checkout would fail anyway.
People discovering their apps watch them.
Amazon is definitely going to plug that hole.
Ah sorry maybe I got replies confused.
It’s good to have this documented, thanks. It’s one thing for everyone to “know” they’re Tankies, it’s another to have compiled evidence and A/B examples like this to point to.