jimmy2times

6 ms·

1.
by jimmy2times 4mo ago
Exactly. Besides cost, domain-specific models (which can still be very large) encode our biases (i.e., our knowledge about the domain) in their architecture. Because of that, we have ways to calibrate their accuracy trade-offs over an in-do
2.
by jimmy2times 4mo ago
I think the bipartisan moment against AI is in large part (surprise, surprise) optics. In reality, the powers that be may have already set their sights on AI as the next "too big to fail" industry due to a perceived economic threa
3.
by jimmy2times 5mo ago
The AIs have already figured out how to succeed in a software job: 1. Ship bugs 2. Fix them 3. You're the hero!
4.
by jimmy2times 5mo ago
Sounds like Google.
5.
by jimmy2times 1y ago
I can't believe this is so unpopular here. Maybe it's the tone, but come on, how do people rationally extrapolate from LLMs or even large multimodal generative models to "general intelligence"? Sure, they might do a bett
6.
by jimmy2times 1y ago
Can you say the same about the top 100 basketball players?
7.
by jimmy2times 4y ago
Does it support plug-ins?
8.
by jimmy2times 6y ago
Yes, excellent point. Notation can be a great aid to understanding. I should give this a try more often.
9.
by jimmy2times 6y ago
I guess it would take a lot of patience, but it should be doable, maybe even more feasible than some contemporary music that is heavy on sound fx. I don't find this as rewarding as trying to understand how a piece "works" tho
10.
by jimmy2times 6y ago
I think of this as analogous to self-supervised pretraining followed by training on a smaller labeled set. When you study theory you can ground it on music you've listened to throughout your life. Also to improvise confidently you have
11.
by jimmy2times 6y ago
I would add that music theory and sight-reading are orthogonal. My partner learned piano at a young age, and she can follow a sheet but won't know what chords she's playing. I learned guitar by ear but I'm always thinking abo
12.
by jimmy2times 14y ago
Besides security and caching, I think standards/interoperability are key. I want my next-generation apps to work on a cloud filesystem of my choice, be it Dropbox, Google Drive, etc. That will be the most significant step towards a real clo
13.
by jimmy2times 14y ago
If we're talking really long-term, I don't see a big difference between loading a web app and having a native app quickly and seamlessly installed and loaded just by clicking on a link. Eventually, improvements in bandwidth and computing po
14.
by jimmy2times 14y ago
Love the name (though I'm sure many would consider it sexist).
15.
by jimmy2times 14y ago
Of course, we Emacs users have always had that sort of thing. That's why Agile folks at Lean startups tend to favor Vim these days. True story.
16.
by jimmy2times 14y ago
DCPU-16 port anyone?
17.
by jimmy2times 14y ago
I also toyed with my own Lisp[1] a few weeks ago, after being inspired by Peter Norvig's Lispy[2]. It's an interpreter though, and written in C++. I mixed together features from different languages (eager/lazy evaluation, call-by-value/refe
18.
by jimmy2times 15y ago
For instance, a Google search can distinguish a search for “New York” as opposed to one for “New” and “York.” OMG, what kind of sophisticated AI did they use to accomplish this? I'm thinking random forests mixed with neural networks and S
19.
Show HN: LIME - Lisp Implementation with Moderate Effort(github.com)
3 points by jimmy2times 15y ago|0 comments
20.
by jimmy2times 15y ago
I haven't run the crawler so I'm not sure what else it does, but if it only parses the home page and fetches the external links, why not read http://news.ycombinator.com/rss (you can use the feedparser module) and download the pages with
21.
Lazy evaluation and infinite streams in C++(github.com)
1 points by jimmy2times 15y ago|0 comments