lamename

6 ms·

31.
by lamename 1y ago
They will demand use of AI tools for "productivity" and then complain when there are bugs in prod without realizing the root cause.
32.
by lamename 1y ago
I appreciate the sentiment, but I've found this resource [0] much more direct and comprehensive. It explains all of the nuance regarding dB and related terminology from audio engineering to perception (voltage, power, intensity, volume
33.
by lamename 1y ago
Also on HN today "I got fooled by AI-for-science hype—here's what it taught me" https://news.ycombinator.com/item?id=44037941
34.
by lamename 1y ago
Thank you for saying this, I agree with your point exactly. However, instead of using that known human bias to justify pervasive LLM use, which will scale and make everything worse, we either improve LLMs, improve humans, or some combo. You
35.
by lamename 1y ago
Nice writeup. F1, balanced accuracy, etc. In truth it depends on your problem and what a practical "best" solution is, especially in imbalanced scenarios, but Matthews Correlation Coefficient (MCC) is probably the best comprehensi
36.
by lamename 1y ago
> this is aimed primarily at engineers who don't have ML expertise: someone who understands the business context, knows how to build data processing pipelines and web services, but might not know how to build the models. I respect s
37.
by lamename 1y ago
It's not just LLMs. Deep learning in general forms these multi-d latent spaces
38.
by lamename 1y ago
If a Google engineer can get tricked by this, of course random people can. We're all human, including the flaws.
39.
Your ViT Is Secretly an Image Segmentation Model(arxiv.org)
10 points by lamename 1y ago|0 comments
40.
by lamename 1y ago
Education to the uneducated (or those who would prefer we remain uneducated in the face of power) can easily cast any education as "biased" against their purposes. Most people see through that for what it is, but an increasing pop
41.
by lamename 1y ago
The saddest part is watching friends and colleagues who i previously considered healthily skeptical and rigorous thinkers now "blown away" by promotional videos, drinking the kool aid. Yes it is amazing. No I don't believe ev
42.
by lamename 1y ago
Probably because dB SPL doesn't match A-weighted human perceptual audiogram, so they're being specific? (I get that you could just translate it to dB SPL but still.)
43.
by lamename 1y ago
Your story does a great job at highlighting the small but profound every-day experiences of working in a lab with living beings as test subjects. It's hard to put into words the strength of wonder you can acquire for life working as a
44.
by lamename 1y ago
The point of this, particularly for children (e.g. as a parent), is to build emotional bonds and stability, not to get them to do what you want. That can be a nice side effect in the moment, and is indeed more likely over the long term with
45.
Conservative Americans consistently distrust science, survey finds(phys.org)
9 points by lamename 1y ago|4 comments
46.
by lamename 1y ago
> "At the moment that technology is limited because you need a dermoscopic lens which the public wouldn't necessarily have access to, but I'm sure with time the technology will advance and we will have effective apps that
47.
by lamename 1y ago
+1 for comparative neuroanatomy indeed
48.
by lamename 1y ago
Oddly, what tends to matter for competence in X domain in relation to the brain isn't the absolute size of the brain (or brain region) but size relative to 1. The other structures in the brain 2. Total brain size relative to body size
49.
by lamename 1y ago
This is very cool and lends even more evidence to what has been more or less clear in the avian neuro community. This genetic/dev evidence in a similar brain region supports previous work by Karten (mentioned in the article) and others
50.
by lamename 2y ago
I watched a discussion the other day on this "NNs don't overfit point". I realize yes certain aspects are surprising, and in many cases with the right size and diversity in a dataset scaling laws prevail, but my experience wi
51.
by lamename 2y ago
Neat, now I'm curious. Can you explain why?
52.
by lamename 2y ago
I'd argue that your point is only true if the amount of money the government gives out per month per person vastly increases.
53.
by lamename 2y ago
Related is the fact that other jobs existing, even IF desirable, doesn't mean they can be learned over night. Many jobs worth having take years of training. Switching careers overnight is not realistic for nearly anyone who gets laid o
54.
by lamename 2y ago
It doesn't have to be. But often the executives or investors who stand to profit the most from innovation also have strong public facing influence over the narrative. Employees cost a ton, so it's self serving both to promote the
55.
by lamename 2y ago
Last commit 1 yr. They welcome your contributions in CONTRIBUTING.md
56.
by lamename 2y ago
You might find this helpful for prioritizing which knobs to turn first https://github.com/google-research/tuning_playbook
57.
by lamename 2y ago
Nice. What laws are you referring to?
58.
Cursed Quadratic Equations(thegraycuber.github.io)
3 points by lamename 2y ago|0 comments
59.
by lamename 2y ago
I don't see `tsai` in there either
60.
by lamename 2y ago
This is flame war now, but there are > 1 person who can run a company successfully. No Eich != bad company. Blame current leadership not lack of specific leadership.

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