willberman

8 ms·

1.
by willberman 6y ago
+1 on vim with fzf and rg being enough for almost any task. I use that setup for most things and then when I need something with a little more syntactic awareness, I pop open my IDE.
2.
by willberman 6y ago
I think problem is that your argument seems to come from a prior point of view, and doesn't assume good faith on the behalf of people working on smart contract problems (declaring them in whole fundamentally unethical). I would suggest
3.
by willberman 6y ago
I don’t necessarily agree with either of those. Maybe a college tells me that a particular type of extra-curricular wasn’t valued as highly as I thought it was and I elect to pursue something different in undergrad (I wouldn’t recommend thi
4.
by willberman 6y ago
There's still lots of relevant work to do deeper in the stack. It might just not be at large internet scale companies (I doubt this but lets assume it's true). Most every university has a systems research lab doing interesting thi
5.
by willberman 6y ago
I would prefer if schools just gave as concrete as possible feedback for why individual applicants are or are not admitted. i.e. Congrats, you got accepted. Your GPA ranked in the top $X percentile of our admitted class and your engagement
6.
by willberman 6y ago
Do you mind being specific on how there are no longer hard engineering problems to be solved?
7.
by willberman 6y ago
For any point of view on AI, I can probably find a decent number of non technical people who hold that POV. Technical illiteracy is a significant problem imo.
8.
by willberman 6y ago
Workflow on midsized personal project with editor that I'm comfortable with and have customized over the majority of time I've been programming: work. Look, obviously VS Code has emacs beat in the vast majority usability features.
9.
by willberman 6y ago
Different things work for different people, but I'll give you my two cents. I got through college entirely through self study. What works for me is reading a textbook and re-writing out any concept in the textbook in my own words until
10.
by willberman 6y ago
I’d give the same advice I’d give to understand anything remotely complicated. Pick a real goal you want to accomplish that the thing you want to understand is a good fit for. Maintain a curious mindset while trying to accomplish the goal.
11.
by willberman 6y ago
Look at Chamath palihapitiya‘s description of social capital. This is what he states he’s attempting to address. The counter argument is addressed in a debate between Reid Hoffman and Peter Thiel where Hoffman’s pov is that change occurs in
12.
by willberman 6y ago
I use Ubuntu as my main os for programming. I run into a few kinks every now and then, and for that I keep around a Windows and a macOS box. I’d say that Ubuntu is a sane desktop to get work done in.
13.
by willberman 6y ago
It is essentially correct that the discussion on typing occurs at the least nuanced level of discourse. I've been at fault doing this myself. The distinction between different sorts of type systems and the relative conservation of the
14.
by willberman 6y ago
I second the use of iots. It has a decent learning curve but is very worth it in the end.
15.
by willberman 6y ago
Could you share the 35 line library? I’m curious. I recently asked the Common Lisp subreddit why so many of their libraries lack extensive documentation and most agreed it is a wart on the language.
16.
by willberman 6y ago
I made the mistake of recommending standardization of development tooling at one point. Not one of my finer moments.
17.
by willberman 6y ago
Ha! I would agree that you might be taking it a bit too seriously. I was trying to make the point that sometimes things that might seem purposeless are useful simply because they are fun, scratch an itch, and might lead to a new way of look
18.
by willberman 6y ago
Like most things in life, I believe the answer involves finding balance between the two :)
19.
by willberman 6y ago
M-x apropos tesseract
20.
by willberman 6y ago
"I think that it’s extraordinarily important that we in computer science keep fun in computing. When it started out it was an awful lot of fun. Of course the paying customers got shafted every now and then and after a while we began to
21.
by willberman 6y ago
Are you saying that the majority of the speed up is from caches and then there's a secondary, much smaller, speed up from the vectorization? Or are you saying all the speed up is from caches and I'm off base here with vectorizatio
22.
by willberman 6y ago
I can see how this wouldn’t be covered in an undergrad cs education. I took only a single computer architecture class which was extremely limited in scope. The only reason I knew about vectorization during undergrad is because a friend ment
23.
by willberman 6y ago
When I took data structures and algorithms, I believe almost every single lesson was concluded with the caveat that constants are important.
24.
by willberman 7y ago
Interestingly enough I think that the core of rdf (the subject predicate object triple) is a quite elegant abstraction for knowledge graph representation. I do agree that the layered system of different ontology languages as present in curr
25.
by willberman 7y ago
I have another comment on this thread that discusses the difference between research and engineering. The goal of this project is not to improve your google search results via the provided framework. That argument is an fine use of reductio
26.
by willberman 7y ago
I really like the term "view source mindset." I think it aptly applies to certain systems where you can intuit what the underlying programming is doing just by interacting with them. Definitely stealing that phrase.
27.
by willberman 7y ago
This is a very relevant engineering critique, but note that this is a research project. The first step is to ask, "what if it worked this way?" After a prototype has been developed to more accurately identify what is the actual pr
28.
by willberman 7y ago
I've been following this lab's work for a while and actually suggested to them that the implementation for this be based on an RDF style data model. Ontology languages are the level of abstraction up from a spreadsheet and are an
29.
by willberman 7y ago
I would personally define efficacy of predictive modes to be a scientific achievement rather than engineering, but that might just be a vocab discrepancy. Do you think it’s possible to determine how good their modeling is externally? I woul
30.
by willberman 7y ago
Correct I think that would be a better way to put it. None of the individual building blocks seem very technically challenging, but to consistently enforce it at a company wide scale seems quite cool.

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