upbeat_general

13 ms·

31.
by upbeat_general 2y ago
For the longest time I’ve wanted a way to record my location history in a durable way, without resorting to google maps history (which is great but has…obvious downsides), or some hacky short-term custom solution. I wonder if someone could
32.
by upbeat_general 2y ago
I think a lot of these comments don’t properly capture the benefit. The more skilled workers, the more startups/companies, not to mention smarter people. But the effect is bigger than that, by allowing skilled immigration, it makes US
33.
by upbeat_general 2y ago
Maybe I'm missing something but are there any current regulations that make it difficult to operate? My understanding was that in many states, it's mostly just paper requirements and not any strict testing, etc.
34.
by upbeat_general 2y ago
scaled_dot_product_attention isn’t CUDA specific, it even works on TPUs.
35.
by upbeat_general 2y ago
Honestly most of the things I would like food are very oriented toward research/sharing use-cases, which I realize that is distinct from a lot of your users, but can mean: - Working with large remote datasets/clusters - Needing to
36.
by upbeat_general 2y ago
I’ve been using this for visualizing some computer vision data/model prediction and it has been great. The remote client/server streaming has a bit to go, but just the option to use it in a browser is a game-changer. All the previ
37.
by upbeat_general 2y ago
Down for me as well. Thought my SSH agent was broken.
38.
by upbeat_general 2y ago
Well CPython has a lot of backwards compatibility to deal with that RustPython doesn't, so "import subprocess" might result in very different behavior.
39.
by upbeat_general 2y ago
Does this have faster startup times than cpython? Every time I want to rewrite a shell function in python, I always hesitate due to the slow startup.
40.
by upbeat_general 2y ago
Haven’t read the paper (or looked at the code), but not sure there’s a general obligation to cite anything that’s not a pre-print/published. If they knew of and used the code, that would be a different story, but otherwise it seems oka
41.
by upbeat_general 2y ago
Adobe can either (A) charge the full year up front, or (B) specify the full year cost and give customers the option to pay that monthly (like the buy now, pay later plans). The issue is that their current wording is deceptive.
42.
by upbeat_general 2y ago
I thought it was pretty well used pre-covid, especially when the rides were sometimes 50% of a regular ride. At least I personally used it a lot, and knew several people that did.
43.
by upbeat_general 2y ago
The implementation seems to be pretty clean and modular here where transformers (and diffusers) isn’t, unless you take their modules standalone. This repo has a lot of handy utilities but also a bunch of clean implementations of common mode
44.
by upbeat_general 3y ago
As someone who works on both, this is just not the case. If you're talking about general automotive R&D, sure. If you're talking about the total employee makeup of a current self-driving company, the number might be ~10-50%, d
45.
by upbeat_general 3y ago
I think you misunderstood the NLRB article entirely. The change is that in cases of election violations, the default remedy is now forced bargaining. There don’t appear to be any open elections, only the increased possibility that a union i
46.
by upbeat_general 3y ago
I discovered this yesterday and spent some time with it. Sadly, it’s a pretty thin wrapper, with no typing or IDE support. It’s more or less ‘evall()’ with helpful type conversion between languages.
47.
by upbeat_general 3y ago
I wonder how many people actually use many of the newer features. It seems there’s always new data sources and niche features, but I imagine it’s not deep enough if you work in the field [e.g., chemistry or astronomy]. For me it’s such a sh
48.
by upbeat_general 3y ago
I would imagine any military “GPS Jammer” would also block similar systems…
49.
by upbeat_general 3y ago
This is such great news, I've been annoyed with slow arXiv loads for a while and happy to hopefully see it fixed!
50.
by upbeat_general 3y ago
I have the same issue. From what I can tell it’s just network-bound and the Arxiv servers are slow. They theoretically allow for you to setup a caching server but after spending a while trying to get it setup, I haven’t been able to get it
51.
by upbeat_general 3y ago
Aren’t basically all modern cars steer by wire? I guess ethernet vs CAN is notable but isn’t that a pretty minor implementation detail?
52.
by upbeat_general 3y ago
In my opinion the root cause is pretty clear: they had a network protocol update that was not backwards compatible and didn’t verify the runtime versions or have versioning. Everything else isn’t really core to the issue [even that the upda
53.
by upbeat_general 3y ago
Yeah this is the real reason right here. Updating your code: Easy. Updating 10 different libraries that you depend on but don't know anything about: Not so easy
54.
by upbeat_general 3y ago
Personally it’s not one specific function but the answer I’m looking for [e.g, code that just works] is significantly better from GPT-4 imo. The better the output is, the less time I spend and the more likely I am to default to using the mo
55.
by upbeat_general 3y ago
Don’t worry about the price. It’s absolute crap. [At least PyCharm remote is and I believe it has the same underlying Jetbrains architecture] Windows randomly quit, take forever to open, there are always indexing issues, etc. Locally everyt
56.
by upbeat_general 3y ago
I had very similar issues culminating in losing a non-insignificant amount of data. Despite being locally stored on multiple computers, an issue with iCloud Drive caused it to be deleted off of all. I’ve since moved all my data out of iClou
57.
by upbeat_general 3y ago
This article doesn’t address the real challenge [in my mind]. Framework support is one thing, but what about the million standalone CUDA kernels that have been written, especially common in research. Nobody wants to spend time re-writing&#x
58.
by upbeat_general 3y ago
Not sure about the current situation but since Apple controls literally the entire stack, I can’t imagine it’s a big issue. If they really need a new op, they add it.
59.
by upbeat_general 3y ago
Lots of ML applications don't generally care about latency, and throughput only matters per dollar (as you can just scale horizontally). To my knowledge, most inferencing (at least for simpler models) happens on cheaper, slower GPUs th
60.
by upbeat_general 3y ago
Are they price-competitive for those applications though? My understanding is that the main focus is Memory/GPU-interconnect for large models. Are recommendation/ranking models large enough to take advantage of this? I don't

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