anordin95

5 ms·

1.
by anordin95 4mo ago
The CEO of this startup was also the CEO of Cruise during the scandal in which Cruise hit a pedestrian, lied and heavily misrepresented evidence to CA investigators. Ethically jarring upgraded to just ethically dubious?
2.
by anordin95 6mo ago
I initially found this odd too. However, I think the catastrophic failure probability is the same as the prior system, and presumably this new design offers improvements elsewhere. Under the 3-voting scheme, if 2 machines have the same iden
3.
by anordin95 11mo ago
I should have mentioned that the government foots the legal bill! That is, you don't need to hire your own costly lawyer. The case will eventually be USA vs. (your old company), and you're a potential beneficiary.
4.
by anordin95 11mo ago
I'm an American who was retaliated against in the past for collective bargaining efforts. Luckily, that's illegal here as codified by the National Labor Relations Act of 1935 (it probably is in the UK too, I'm just not as fam
5.
by anordin95 11mo ago
I know it and do like it! Even for those that follow Diataxis, in my experience the "Explanation" sections are often lacking, especially compared to the "How-To" or "Tutorial" ones. Python is one example that c
6.
by anordin95 11mo ago
I am a huge fan of the "Explanations" page of their docs: "These explanation pages are oriented towards deepening your understanding of Hypothesis, including its design philosophy." I feel much more software documentatio
7.
by anordin95 1y ago
I would have liked more insight into the control group (so called "matched control") hospitals. Typically, PE firms only step in when companies (in this case, hospitals) are struggling. If the PE hospitals were in dire financial s
8.
by anordin95 1y ago
Mhm. You need another thread to accomplish async file reads, which is basically what aiofiles does. This isn't really to the fault of asyncio. The necessary OS primitive isn't available. See the Linux documentation for the O_NONBL
9.
by anordin95 1y ago
Mmm fair point! Though, coroutines aren't really asynchronous objects in that usage, right? Since `await coroutine` would run that coroutine synchronously.
10.
by anordin95 1y ago
Ah, I'm so glad to hear it. And, thank you for the nit/feedback! I generally use python3.12 for my work which doesn't error out on that line. However, python3.11 and below will raise a SyntaxError on it. I've fixed the i
11.
A conceptual overview of asyncio(github.com)
149 points by anordin95 1y ago|30 comments
12.
by anordin95 1y ago
I've used Python's asyncio a couple times now, but never really felt confident in my mental model of how it fundamentally works and therefore how I can best leverage it. The official docs provide decent documentation for each spec
13.
Asyncio Fundamentals: A Conceputal Overview(github.com)
4 points by anordin95 1y ago|0 comments
14.
Asyncio Fundamentals – A Conceputal Overview(github.com)
1 points by anordin95 1y ago|0 comments
15.
by anordin95 1y ago
A high level overview of the ideas and objects that power Python's asyncio. And, some simple, illustrative examples.
16.
Asyncio Demystified: A Conceputal Overview(github.com)
3 points by anordin95 1y ago|1 comments
17.
by anordin95 1y ago
Surprisingly, it appears TechCrunch's analysis regarding price ratios and trip distance is a bit off! From the article: "This was true of the Uber and Lyft rides, too. But Obi found the shortest Waymo rides were priced 41.48% and
18.
by anordin95 2y ago
Thanks for the suggestion. I've added a link to llamafile in the repo's README. Though, my focus was on exploring the model itself.
19.
Directly run and investigate Llama models locally with only PyTorch(github.com)
3 points by anordin95 2y ago|1 comments
20.
by anordin95 2y ago
There are other popular ways to invoke these models, such as Ollama and Hugging-Face's general API package: transformers, but those hide the interesting details behind an API. Peel back the layers to poke, prod and understand!
21.
Run Llama locally with only PyTorch on CPU(github.com)
168 points by anordin95 2y ago|34 comments
22.
by anordin95 2y ago
Peel back the layers of the onion and other gluey-mess to gain insight into these models.
23.
Directly run and explore Llama models(github.com)
3 points by anordin95 2y ago|0 comments
24.
Directly run and investigate Llama models locally(github.com)
8 points by anordin95 2y ago|1 comments
25.
by anordin95 2y ago
There are other popular ways to invoke these models, such as Ollama and Hugging-Face's general API package: transformers, but those hide the interesting details behind an API. I want to peel back the layers, poke, prod, understand and
26.
Run Llama locally with minimal dependencies(github.com)
2 points by anordin95 2y ago|0 comments
27.
Run Llama locally on CPU with minimal API's in-between you and the model(github.com)
3 points by anordin95 2y ago|0 comments
28.
by anordin95 2y ago
I occasionally feel overly concerned with how much time each thing I'm doing is taking. As opposed to getting pleasantly lost in whatever it is that I'm doing. Of course it's useful to check-in on the time every so often or g
29.
by anordin95 2y ago
This is wonderful! I'd love something similar to this in my computer's time-display: random-noise until I click.
30.
by anordin95 3y ago
I rather enjoy the "cutesy" language! I view seamlessly weaving complex topics with fun and relevant asides as a mark of talent not immaturity. PS for archmaster: here is an excellent Operating Systems textbook & resource (tha

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