rvz

26 ms·

631.
by rvz 4mo ago
Unsurprising. [0] This is even before 2030 and you will own nothing and be happy. Get ready for your games to be delisted [1] as you never owned them in the first place (unless you have the disc) [0] https://news.ycombinator.com&
632.
by rvz 4mo ago
> It is baffling to me that Apple, ostensibly a hardware company (that happens to be pursuing services revenue the way a crackhead pursues crack), ridiculously flush with cash, doesn’t throw 2 or 3 of their thousands of FTEs on this. Why
633.
by rvz 4mo ago
Smart thinking.
634.
by rvz 4mo ago
> I predict we all be using the hell out of fable until the next great model comes around and in two weeks we won’t be talking about the export controls anymore. Until it goes down, or Anthropic raises prices again. Fable is already expe
635.
by rvz 4mo ago
Oh sweet summer child. Both Republicans and Democrats won’t do anything. Given that many of these members of congress of both parties were stock trading ahead of key legislation being announced they won’t do anything to change that.
636.
by rvz 4mo ago
A new low in AI slop.
637.
by rvz 4mo ago
> Both the full training run and the large-scale deployment are built entirely on AI ASIC superpods. Pretraining spans millions of accelerator-days across more than 35 trillion tokens, To think that Nvidia would not have any competition
638.
by rvz 4mo ago
The AArch64 desktop experiment started in 2020 with the Macbook M1 and it ended in 2026 with great success with Apple phasing out support for Intel. It is called Apple Silicon.
639.
by rvz 4mo ago
AGI was achieved internally at Elementor.
640.
by rvz 4mo ago
When reading the comments, it seems that in the AI race to zero, Apple was already at the finish line. as predicted. So it will be no surprise that there will be a time where everyone will be able to run a local model, say GLM 5.2 locally o
641.
by rvz 4mo ago
Achieving "Net Zero" when building more AI data centers is not possible . Choose one. Before it was crypto burning up the planet, but efficient methods of consensus (proof-of-stake) brought emissions down 99.9% and that is a true
642.
by rvz 4mo ago
> We've conflated having a home with a financial asset. This conflation is a coping mechanism by home owners, especially the ones in SF (which the entire city from SF to San Jose) is sitting on a fault line. The main problem is that
643.
by rvz 4mo ago
Still waiting to cancel Big Tech for donating to Trump [0] and they donated more than a million+. So why haven't we cancelled Big Tech yet? [0] https://www.commoncause.org/articles/big-tech-is-donating-mi...
644.
by rvz 4mo ago
Of course. The rest 'n vest people at FAANG companies will tell you its lasts forever 6 years ago. Now they are scared for their jobs. This is why we are seeing a correction at those companies, perks and free food going away with const
645.
by rvz 4mo ago
I cannot wait. Just in time for next year. Coming soon in 276 days from now.
646.
by rvz 4mo ago
We already have a Bitcoin discount. But another discount on top of this one with Strategy wanting to sell at a loss? Yes please and what a great deal.
647.
by rvz 4mo ago
Soon. Nothing lasts forever. Especially when everything that can be extracted has been extract from those companies.
648.
by rvz 4mo ago
Dangerous for them. Great for everyone else who want alternatives. That means open weight models are good enough to threaten Anthropic's bottom line so much that Dario needs to get governments to ban the release of open weight models.
649.
by rvz 4mo ago
I see. > LLM is called six times to extract structured information Followed by > The default model is gemma3:4b, running at temperature 0.1 — low, supposedly nudging the model toward deterministic outputs. This is exactly why hiring i
650.
by rvz 4mo ago
Many people here are now realizing that open weight models are now able to compete against frontier closed models. This is where we are heading and why many closed labs are terrified of this affecting their bottom line and the reason why th
651.
by rvz 4mo ago
As much as we don't want a gerontocracy, the idea to replace parliaments with "LLMs" absolutely makes no sense. It is not possible to solve social issues with technical solutions as there is always room to game the rules or h
652.
by rvz 4mo ago
Exactly. They did not have to open up their research up and this is what happens when smart researchers are forced to squeeze performance gains out of existing hardware. They don't have TPUs or access to the latest Vera Rubin GPUs eith
653.
by rvz 4mo ago
This is just one of many papers DeepSeek have released to be able to serve models at extremely cheap prices, unlike the others taking on >$100B+ of debt in building data centers for the same thing. > As with V4-Flash, we treat this po
654.
by rvz 4mo ago
libkrun is not production ready compared to Firecracker which the latter is used in 99.9% of many companies.
655.
by rvz 4mo ago
There you go. China wins once again.
656.
by rvz 4mo ago
AI is hated far more than crypto. No other technology gets as much hatred as AI is getting as the public see that as a threat to their own jobs. Of course techies here are having trouble understanding this backlash. Maybe they should read u
657.
by rvz 4mo ago
Even with the Hetzner price increase, it is still far cheaper than all of them with self-hosting.
658.
by rvz 4mo ago
This move was obvious the moment Anthropic pleaded to the government to regulate them. As predicted, [0] it has now been applied to OpenAI and soon anyone else releasing highly capable models. [0] https://news.ycombinator.com&#x2
659.
by rvz 4mo ago
Other than the worst naming I have ever seen (Sol / Terra / Luna), the pricing is still expensive: > GPT‑5.6 is priced per 1M tokens across three model sizes: > Sol is $5 input / $30 output; > Terra is $2.50 input &#
660.
by rvz 4mo ago
> we could automate 90% bureaucracy and government jobs and no one would feel the difference. This is really naïve in the long run, since you ultimately cannot solve social problems with technical solutions. It's always techies that

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