VHRanger

40 ms·

631.
by VHRanger 4y ago
Seriously, just get a Brother instead. None of the anticompetitive and John Deere-esque lockdown crap.
632.
by VHRanger 4y ago
I don't think it matters at the end of the day. Properly written numpy is very fast because it uses MKL or BLAS optimized for relevant architectures. It won't be worth your while optimizing it unless you need to do something that
633.
by VHRanger 4y ago
GDC is aimed at devs. E3 was aimed at the unwashed masses. Different audiences entirely. GDC is more like a trade conference.
634.
by VHRanger 4y ago
Performance in terms of model quality would be the same. The fast-se library uses C++ code and word embeddings being averaged to generate sentence embeddings, so would be similarly fast, or faster on apple silicon than x86. For the Sentence
635.
by VHRanger 4y ago
You can find some comparisons and evaluation datasets/tasks here: https://www.sbert.net/docs/pretrained_models.html Generally MiniLM is a good baseline. For faster models you want this library: https://
636.
by VHRanger 4y ago
Look at pp. 48 and on for their mention. IDK why it doesnt show up with ctrl+f in the pdf. Two of those firms are clearly cumberland and jump crypto. Cumberland has been the reverse of Alameda -- they're an offshoot of DRW and very pro
637.
by VHRanger 4y ago
Right, I meant why transformers exploded over LSTM-based LMs in 2018 was because of those training issues that transformers solved. I'm excited about the next iteration of models focusing on inference. RWVK seems promising on this end.
638.
by VHRanger 4y ago
Transformers scale in training mainly because they are stateless! They have a long lookback window (30,000 tokens in GPT4!) so the issues are smoothed over. LSTMs end up being very finnicky to train and their sequential nature makes model s
639.
by VHRanger 4y ago
r/buttcoin is leaking into HN!
640.
by VHRanger 4y ago
Correct. It's pretty clear Cumberland Global (largest USDT customer after FTX/Alameda) is "trading shop" A or B (headquarter in Chicago, offices in NYC, London, Singapore)
641.
by VHRanger 4y ago
Wow, that article is salty garbage. Trying to pass off Adani's downfall as a USA vs India racism thing instead of simply a bunch of misappropriation and some researchers who profited from exposing rot.
642.
by VHRanger 4y ago
In general, their reputation is solid. They use flowery language, but it's very rare the facts they present are outright wrong
643.
by VHRanger 4y ago
Permitting process hell is the explanation.
644.
by VHRanger 4y ago
> No code open sourced > No model weights For shame
645.
by VHRanger 4y ago
Enjoy your ad revenue not coming back! There's one thing most ad money cares about: brand management. If you can't answer questions to the client they'll happily find other places to advertise.
646.
by VHRanger 4y ago
People have, and it gaslit them into thinking it was 2022
647.
by VHRanger 4y ago
The fed respond to inflation *AND* unemployment rate, and they respond to their own forecasts of those things. The fed didn't stimulate inflation by choice. The rates were at 0 for most of the decade and inflation was very low. Increas
648.
by VHRanger 4y ago
Crypto: Going from banking the unbanked to unbanking the banked!
649.
by VHRanger 4y ago
The bank failures (SI, SBNY, SIVB) were tied to stuff that grew 300% in 2 years (speculative VC crap, crypto) It's bad, but likely still a contained collapse (hopefully!)
650.
by VHRanger 4y ago
Individual user benchmarks on github and 2-3 blogs. Not super scientific, Im sorry to say, but methodologically benchmarking this is really hard.
651.
by VHRanger 4y ago
Sure, but we had Word2Vec and some primitive RNN-based language models 12 years ago. Arguably Word2Vec was the first big qualitative jump in NLP. Super modern LLMs (say, starting with BERT -- ChatGPT isn't really a qualitative jump fro
652.
by VHRanger 4y ago
That's the Cuda lock-in solution which sadly works well.
653.
by VHRanger 4y ago
Because there's a bunch of layers between the high level code and the output? For simple stuff, we can compare JAX to PyTorch on a 4090, and JAX seems faster by 10-50%. It's way way way faster on TPU. That said, JAX is apparently
654.
by VHRanger 4y ago
Everyone should watch the Stockfish vs ChatGPT chess match on r/anarchychess: https://www.reddit.com/r/AnarchyChess/comments/10ydnbb/i_pla... Which became something of a legend in that subreddit. Th
655.
by VHRanger 4y ago
To be fair, they started missing all the timelines after Brian Krzanich succesfully executed his political coup as CEO of the company. It's hard to overstate how toxic he's been to the company.
656.
by VHRanger 4y ago
A client of yours migrated TO Oracle in 2023? What are they smoking
657.
by VHRanger 4y ago
Supply chain attacks only matter for libraries that can make their own network call, or libraries that directly touch unsanitized web input however?
658.
by VHRanger 4y ago
Titus Winters leading the google abseil library eventually came to the conclusion that the only sane way to manage a large scale C++ system is to "live at head" [1] -- that is, libraries should live at the head production version
659.
by VHRanger 4y ago
I'm surprised a state of the art speech-to-text model has 2B parameters (this) when a language model has >50B (llama, GPT3, chinchilla, etc.)
660.
by VHRanger 4y ago
One advantage is that Reddit has a distributed network of volunteer mods whos incentives align with that of their own subreddit. Google on the other hand has automated centralized content moderation.

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