xcv123

37 ms·

631.
by xcv123 3y ago
No this is only happening for Chrome. No issues when downloading Firefox or Brave. I tried it on Edge/Win11.
632.
by xcv123 3y ago
Also applicable for smaller scale HPC applications running on a single workstation, like an M2 Ultra.
633.
by xcv123 3y ago
Yep but that has nothing to do with HPC. Those are super computing applications and you're not running those on your laptop or desktop. In HPC scenarios the developer knows more than the operating system.
634.
by xcv123 3y ago
According to Apple developer documentation GCD is currently designed for this scenario https://developer.apple.com/documentation/apple-silicon/tuni... "On a Mac with Apple silicon, GCD takes into account the
635.
by xcv123 3y ago
On Mac they have used the Grand Central Dispatch library since 2009. So if developers already used that, they were ready for M1 https://en.wikipedia.org/wiki/Grand_Central_Dispatch
636.
by xcv123 3y ago
It's been around since 2011 on Android. Nothing new. https://en.wikipedia.org/wiki/ARM_big.LITTLE
637.
by xcv123 3y ago
> If the benchmark has any cache misses at all then you also want to make sure everything about the memory configuration is the same, too, for a fair CPU benchmark, right? Number of channels, latency, etc. No. Adding that memory bottlene
638.
by xcv123 3y ago
Production 3D rendering is still done on CPU at VFX studios.
639.
by xcv123 3y ago
They used Cinebench. You can download this and verify that it uses less than 4GB of RAM. It is a CPU bound benchmark. Adding 384GB of RAM makes no difference whatsoever.
640.
by xcv123 3y ago
> Developers for Nintendo consoles have been using C the whole time It was only done with assembly on the NES.
641.
by xcv123 3y ago
Correct. Not in natural language. These are natural language systems, not logic systems. "The sky is blue" does not imply "blue is the sky".
642.
by xcv123 3y ago
From this paper: https://owainevans.github.io/reversal_curse.pdf "In particular, suppose that a model’s training set contains sentences like “Olaf Scholz was the ninth Chancellor of Germany”, where the name “Olaf Schol
643.
by xcv123 3y ago
> When a system sees that A is B, yet cannot infer that B is A So the issue is that they cannot infer that general rule due to a fundamental limitation of the transformer LLM architecture, not just a training data issue? I skimmed the pa
644.
by xcv123 3y ago
Yes it can only learn to solve the problems that it was trained to solve. Not surprising really. Tautological.
645.
by xcv123 3y ago
That sentence from the article seems more straightfoward and technical, and more toned down than the headline here. It's not a philosophy paper.
646.
by xcv123 3y ago
Asian people are smaller. Are you triggered by statistics? LOL https://vietnamnet.vn/en/average-height-of-vietnamese-among-...
647.
by xcv123 3y ago
Yes agreed
648.
by xcv123 3y ago
The comment I was replying to was accusing the authors of the paper of intentionally misleading people. In my mind that is someone who is confused and assuming bad faith of the authors without making a genuine effort to understand their pap
649.
by xcv123 3y ago
I had already edited my comment to make it non-personal. You saw it just before I fixed it.
650.
by xcv123 3y ago
Well as the other commenter here clarified, you're right about transformer LLMs doing next word prediction, but my point is that's only the tip of the iceberg. The complexity of the model doing the prediction is incredible. Not ba
651.
by xcv123 3y ago
Yes that's exactly right. NLP problem solving abilities are a consequence of the fact that in order to predict the next token it actually needs to "understand" all of the previous tokens and how they relate to the next predic
652.
by xcv123 3y ago
> No, but I'm pretty sure I don't try to predict the next word when solving a logical problem through statistical text processing. Neither do transformer / deep learning LLMs. They build an internal representation of the t
653.
by xcv123 3y ago
> LLMs predict next words. That's an oversimplification. Deep learning LLMs such as ChatGPT are designed to solve natural language processing (NLP) tasks, not just next-word prediction. In order to "predict next words" the
654.
by xcv123 3y ago
> Coq works on the actual objects themselves directly, not on the text that presents them. Coq parses the text to an abstract representation and so do LLMs.
655.
by xcv123 3y ago
> A human can do it by thinking through the problem No. Humans cannot solve the halting problem. It is unsolvable. Cannot be solved manually or automatically. > It will never figure out given a programming script and an input when tha
656.
by xcv123 3y ago
> Weird thing is it was designed to model language. Not exactly. They are designed to perform natural language processing (NLP) tasks. That includes understanding language and answering questions.
657.
by xcv123 3y ago
Always cringeworthy when the average bum coder on HN with zero attention span or intellectual curiosity criticizes papers way out of their intellectual depth without reading further than the title. They are describing a new concept using &q
658.
by xcv123 3y ago
Neither of those two reasons are why Windows became the de facto gaming platform. Microsofts market share was nearly 100% in the 90s and that's how they became the de facto gaming platform. Because it was the de facto PC platform. Appl
659.
by xcv123 3y ago
It looked like Windows 2000. https://guidebookgallery.org/screenshots/win2000pro
660.
by xcv123 3y ago
> Also took the good parts from Windows NT. It is Windows NT 5.0 https://en.wikipedia.org/wiki/Windows_NT#Releases

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