I kinda hope this one is staged

Yeah, it’s a “poll” problem 🙄🙄🙄 not a “we antagonize and betray our base and voters constantly” problem

CBS is billionaire oligarch propaganda

https://arxiv.org/abs/2405.20304 they invented their own reinforcement learning framework called Group Relative Policy Optimization

EDIT: deepseek publicly released and published the model and methods to the global community, and there is now an open effort by researchers to reproduce them https://github.com/huggingface/open-r1 it is like the opposite of stealing

deepseek is not stolen tech, it was trained using novel innovations that western companies were not doing

there’s still a whole software-side bubble to contend with

They’re ultimately linked together in some ways (not all). OpenAI has already been losing money on every GPT subscription that they charge a premium for because they had the best product, now that premium must evaporate because there are equivalent AI products on the market that are much cheaper. This will shake things up on the software side too. They probably need more hype to stay afloat

Yes, but old and “cheap” ones that were not part of the sanctions.

China really has nothing to do with it, it could have been anyone. It’s a reaction to realizing that GPT4-equivalent AI models are dramatically cheaper to train than previously thought.

It being China is a noteable detail because it really drives the nail in the coffin for NVIDIA, since China has been fenced off from having access to NVIDIA’s most expensive AI GPUs that were thought to be required to pull this off.

It also makes the USA gov look extremely foolish to have made major foreign policy and relationship sacrifices in order to try to delay China by a few years, when it’s January and China has already caught up, those sacrifices did not pay off, in fact they backfired and have benefited China and will allow them to accelerate while hurting USA tech/AI companies

Great analogy

It literally defeats NVIDIA’s entire business model of “I shit golden eggs and I’m the only one that does and I can charge any price I want for them because you need my golden eggs”

Turns out no one actually even needs a golden egg anyway.

And… same goes for OpenAI, who were already losing money on every subscription. Now they’ve lost the ability to charge a premium for their service (anyone can train a GPT4 equivalent model cheaply, or use DeepSeek’s existing open models) and subscription prices will need to come down, so they’ll be losing money even faster

Don’t they train Russian propagandists to be subtle and effective? You need to review your course materials 😂

ты слишком очевиден

Good

Notice how the “protest votes” have completely vanished? 🤔

I’m a big limoncello fan, I wonder if it will turn out similar

Right, the 5090 isn’t scaling linearly. Performance doesn’t scale linearly with # of GPUs in SLI/nvlink either.

I’m unimpressed. 33% better performance over 4090 for 27% more watts is a joke, in my personal opinion.

4090 at least had 49% better performance vs a 3090 in the most generous benchmark results but using 29% more watts

3090 was a 23% performance increase over 2080 Ti using 40% more watts 💀

The writing has been on the wall since the 2000 series that NVIDIA can’t hit marketing perf uplift targets without substantially increasing power usage. I am just not in their target market because I am not interested in any GPU that uses more than 300W stock.

The only thing I’m impressed by is that they can cool a 575W card in a 2 slot form factor, except they’ve disabled the junction temp sensor for the 5000 series, so I would say “we’ll see” what the temps are like, but actually we won’t. You’re not allowed to see!

https://videocardz.com/pixel/nvidia-has-removed-hot-spot-sensor-data-from-geforce-rtx-50-gpus

3090 Ti: 450W x2 = 900W

“beats”

Have we just completely given up on perf/watt now just because NVIDIA hit a wall 2 generations ago?

Love to see it

This is plainly incorrect

EDIT: nvm OP has edited the post