hadsed

8 ms·

1.
by hadsed 5mo ago
Well, like most engineering in the real world, people will just test the crap out of it Having a model that understands physics helps us certify safety. But how much physics is enough? There's a lot to knowing about gravity. You probab
2.
by hadsed 5mo ago
This is just way too cynical There's an exceptional amount of work to get a transformer to learn such a thing from scratch even if you had data from all the different cameras and basements and lighting conditions out there. Mentioning
3.
by hadsed 2y ago
Wow, i had no idea i could use cursor this way
4.
by hadsed 2y ago
JUST CONVERT THE PDF INTO A STRUCTURED SCHEMA AND THEN LAWYERS CAN BECOME PROGRAMMERS LIKE GOD INTENDED
5.
by hadsed 4y ago
So what makes this better than Streamlit for example? Either today or in the future
6.
The most powerful application of language models is writing NLP apps(hadsed.com)
1 points by hadsed 4y ago|0 comments
7.
MLOps: Right Problem, Wrong Solution(blog.aqueducthq.com)
2 points by hadsed 4y ago|0 comments
8.
by hadsed 4y ago
Architecturally this is great. Introducing more infra in an ML stack is a huge pain in the short and long run and I really love that this doesn't do that (or at least, the new infra are things I understand). In the past I've alway
9.
by hadsed 5y ago
this catches my eye because it highlights an industry mindset shift to come: "[...] the concept of integrating power ML methods into the real-time experimental data processing loop to accelerate scientific discovery" data scientis
10.
by hadsed 5y ago
i agree. the overhead of teams and external dependencies is often just too high--you're far better off if you can keep things small but mighty
11.
by hadsed 5y ago
Beautiful. So many annotation tools focus on "text classification" which assumes you've already got segmented samples. In the real world of documents that's a whole challenge in itself. Another challenge is that sometime
12.
by hadsed 5y ago
LOL. let the car drive itself, but give up music control? over my dead body! it's funny to me because you'd expect music to be lower stakes and such, but it just highlights that actually driving a car is a much more well defined p
13.
by hadsed 5y ago
i think i believe that. what is the easiest thought abstraction that can be captured by our sensors? well the abstraction is largely defined by the UI. i like to think of it like language. UI components (words) come together to enable compl
14.
by hadsed 5y ago
would love to see an experiment on this
15.
by hadsed 5y ago
Seems it's the yearly cycle not matching up to the longer cycle of certain needs that's a problem.
16.
by hadsed 6y ago
i think focusing entirely on one type of evidence is a little unimaginative. if these guys have data on doctors performing some task with and without their tool, they're in a good place to measure the difference. they can take that all
17.
by hadsed 6y ago
It helps to be able to deliver value at a low bar. This stuff takes a lot of time and energy to improve upon, and it won't "just work". Search is usually a good place to start. Just make one little process a tiny bit better.
18.
by hadsed 6y ago
And even if you could, you're getting more value by getting that thing sooner. Or an even better argument: in the end, maybe it took just enough resources at the quality you got to even be born in the current market. Yeah most things a
19.
by hadsed 6y ago
There's an important thing missing from the HPC community, and that is a focus on software usability. Maybe things have changed since I worked as a scientist in training at a government lab with one of these crazy machines. But I doubt
20.
Ori – a high-level concurrency library for Python(ori.technology.neocrym.com)
2 points by hadsed 6y ago|0 comments
21.
by hadsed 6y ago
Great looking app. I tend to setup a table in Notion, and then use the chrome web clipper to add pages to it. Cmd+K and enter is all it takes. Hitting enter again takes me to the page where i can add tags or notes which make them searchable
22.
Operational Security for Activists(security.nym.vc)
3 points by hadsed 6y ago|0 comments
23.
by hadsed 6y ago
How involved is it to get the training for doing some of these technical diver jobs?
24.
by hadsed 6y ago
I would say often times this does and should lie with the senior folks on a team. They're the ones who must be able to communicate well since their impact should be broader, perhaps even outside the team. And they should be scaling the
25.
by hadsed 6y ago
One of the most important and underserved aspects of actually doing machine learning is data collection and error analysis (and in software they are essentially the same thing). Prodigy by Explosion AI (creators of spacy) is very good, grea
26.
by hadsed 6y ago
so what's the gap here with docker? what incorrect assumptions would i make from assuming this as a model for containers, if anyone knows
27.
by hadsed 6y ago
The cold hard reality of machine learning is that most useful data isn't readily available to just be collected. Semi-supervised and weakly supervised learning, data augmentation, multi-task learning, these are the things that will ena
28.
by hadsed 7y ago
Isn't choosing to not put resources (working hours, investment money) a bet against something?
29.
by hadsed 7y ago
You should take a look at startups, especially keep your eyes peeled for the growing ones. You’ll have to read the culture to see how they choose managers (promote from within or hire from outside) but opportunities are usually abound and c
30.
by hadsed 7y ago
Vectors may be the proper way to represent symbols as they are the link with perception. I would call that a pretty core part of AI.

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