0x2c8
Joined 8 years ago
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70
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16
Member since
Oct 21
Recent submissions
Comment · 2 years ago
You get ToC for free with GitHub's README renderer (top-right corner).
Comment · 3 years ago
Ha! Remember when Facebook had this motto on its login page: "It's free and always will be"?
Of course, you either pay with money or with your data. But still it's a bit ironic.
Comment · 3 years ago
I believe this is a clear example of the Moloch effect [1].
Companies race towards having the shiniest chatbot or _virtual assistant_, without fully understanding all the implications and customer needs. Everyone wants to have their brand name associated with being "the first" or "the best" in their segment for providing such technology, no matter how trivial it may seem -- e.g. as the article points out: just wrapping already available info in a dialogue.
Given these incentives and high stakes, it's also hard to "exit" the bandwagon, due to various factors like reputation, costs, and the uncertainty around your competitor not doing the same.
[1]: https://danielmiessler.com/p/moloch-the-most-dangerous-idea
Comment · 3 years ago
I share the same sentiment.
The other day I was frustrated with several Linux quirks my laptop was experiencing and decided to give Windows 11 + WSL2 a try.
The sheer amount of bloat, sneaky privacy settings, ads, clunky UI etc. literally make Windows unusable. I was willing to put up with the switch (leveraging WSL2), but the entire operating system feels like a browser with toolbars from the 2000s.
Comment · 3 years ago
While I agree with your sentiment, I do not believe the author tried to "promote rote-learning" here -- they just presented a nice little analogy between Japanese and programming constructs.
Comment · 3 years ago
> It should be generally better across a wide range of topics and has improved factuality.
Maybe I am being naive, but this is not telling too much as there is no metric attached to it, so the average user cannot (at least immediately) gauge how impactful this improvement is.
I think it would be beneficial to have benchmarks for assessing the factuality of large language models. Now, several open questions are:
- What is the minimal (necessary) set of questions it must contain?
- Can it ever be sufficient?
- What is the appropriate metric to use?
Comment · 4 years ago
> A piece of advice I wish I could give my manager is don't be spooky.
Why not politely talk to your manager and let them know that this behaviour is not appropriate / productive?
Comment · 4 years ago
According to [1], the g4dn.xlarge (a single nVidia GPU instance) appears to have the lowest on-demand price/hr: $0.526. The Tensorbook starts at $3,499 [2] -- that's approx. 6,652 continuous compute hours (~277 days or ~39 weeks or ~76% of a year). Let's round this up to a full year of productive research. I think local hardware may actually be cheaper in the long run for _moderate_ problems, but please correct me if I'm wrong.
[1] https://aws.amazon.com/ec2/instance-types/g4/
[2] https://lambdalabs.com/deep-learning/laptops/tensorbook/cust...
Comment · 4 years ago
There's GeoWizard [1] who is absolutely crushing these challenges -- NMPZ (no moving, panning or zooming) is especially interesting to watch, e.g. [2].
Comment · 4 years ago
This reminds of IGCC (interactive GCC) [1] which I forked from [2] some time ago and since then I try to maintain it.
I don't use it very often, but it's handy to try out syntax or certain snippets. At its core, it continuously updates a temporary file that gets sent to gcc for compilation. Flags & libs can be specified in a config.
Comment · 4 years ago
It may be an unpopular opinion, but I really enjoy writing wiki pages in Confluence.
Comment · 5 years ago
This. Also, in IPython, one can write greek letters by doing:
\Sigma<TAB>
Comment · 5 years ago
Can you elaborate on this? What is wrong with Python's `lambda`?