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91.
by parentheses 2y ago
This is a very fuzzy line. When does math become "AI"? Is anti-aliasing AI? Is line smoothing AI? Which filters are/aren't AI? This is a PR stunt to differentiate against AI heavy art tools.
92.
by parentheses 2y ago
Been in both IC, TL, and EM positions. The TL in abstract fills the gap between the collective ICs and the EM. If you have no EM, you are the EM. Here's a bit of a brain dump. It starts in planning and other ceremonies. From those meet
93.
by parentheses 2y ago
I came expecting DSP code but was pleasantly surprised by this! If anyone has any other interesting ones to share about how audio hardware and software are built, I'd love to see them!
94.
by parentheses 2y ago
My biggest use for LLMs - situations where I use them heavily: - CLI commands and switches I don't care to or easily remember - taking an idea and exploring it in various ways - making Slack messages that are more engaging Using GPTs h
95.
by parentheses 2y ago
Came to the comments to say this. FileDescriptors have been so simple to work with that I am so surprised the author is touting TS for this use case. The other nice thing about all the descriptors is their schemas are protobufs, so language
96.
by parentheses 2y ago
What a great reading list.
97.
by parentheses 2y ago
Is DSC basically nix for windows?
98.
by parentheses 2y ago
I feel kdb is like the equivalent of a drag racer - useless generally. Great at a one (or few) things in very limited environments.
99.
by parentheses 2y ago
I think the adulation is mainly driven by the a few things: 1. it was fast by a huge margin for its time 2. the reason for its speed is the language behind it 3. it uses an esoteric language and still attains success 4. the core engine is i
100.
by parentheses 2y ago
Have you seen Eraser? https://www.eraser.io/
101.
by parentheses 2y ago
What's most exciting to me is the amazing dev tools they may create..
102.
by parentheses 2y ago
I am so surprised that there's no exploration of Karatsuba's algorithm. That's what makes the Python implementation perform. I actually came here hoping to find discussion on Karatsuba. https://en.m.wikipedia.org&
103.
by parentheses 2y ago
soon the movie trope of saying "enhance" repeatedly could be a real thing!
104.
by parentheses 2y ago
I used to be a very hardcore neovim user until I got sick of manually configuring LSP plugins. In VS Code, things typically work much better. So, I opted to have the best of both with vscode-neovim. There are small glitches from time to tim
105.
by parentheses 2y ago
The python already exists. These efforts enable increasing performance without having to rewrite in a very different language.
106.
by parentheses 2y ago
Seeding 500TB I'm guessing requires 500TB of disk space. I don't have even close to that. I would if I could though, so excited to see anyone answer the call!
107.
by parentheses 2y ago
What I'd like to see with a product like this is integration with vim registers: If I yank to anything other than OS clipboard, I see it in the history but not as the latest clipboard item.
108.
by parentheses 2y ago
Spatial reasoning is easily isomorphic to many kinds of reasoning - just not all of them. Spatial reasoning in this case also limits the AI to 2 dimensions. I concede that with more dimensions, there will be more isomorphisms. Is there a nu
109.
by parentheses 2y ago
The UX of your solution entry is _way_ better than the ARC site itself.
110.
by parentheses 2y ago
It's fairly arbitrary, but there is at least one constraint on how much you can liquidate: You cannot liquidate much more than 10%, because you're taking money from the company and investors would not appreciate that.
111.
by parentheses 2y ago
I can share some details. Employee 1: ~1% Employee 10: ~0.1% Employee 1000: 0.01% I'm extrapolating from past experiences in SaaS companies where I was employee number X and X has varied fairly widely.
112.
by parentheses 2y ago
This assumes how much of the founders' shares they sell and the size of the raise. The $400k figure is just arbitrary here. I imagine when companies are raising Series B or later, founders are walking away with millions.
113.
by parentheses 2y ago
After anthropic's recent article, this seems almost like making excuses for not having published similarly meaningful contributions. I see a lot of "interpretability is hard" and "we're working on it" in this a
114.
by parentheses 2y ago
I recall using a device called the "Mini Maxwell" by this company: https://www.iwl.com/ It enabled you to simulate network slow-downs, packet-loss, packet corruption, packet reordering and more. It was so critical
115.
by parentheses 2y ago
GraphQL is an opaque layer that is not necessary in the truest sense. The lie is that it makes things better. 100% of the time that I add an unnecessary thing to a project in the name of "it will make things better", it never did.
116.
by parentheses 2y ago
So, this means refactoring becomes potentially difficult. While the gem is still a great accomplishment and very useful, I'd have to engineer my way around this issue before using it with things like a Rails Model which could have chan
117.
by parentheses 2y ago
Very specific question: when tests fail due to a single example, you suggest creating a specific assertion with the given seed. I imagine the seed is used to generate data and depending on the order of your generators, it produces different
118.
by parentheses 2y ago
I imagine it wouldn't be too hard to build up your own data generators for Rails models (or other entities).
119.
by parentheses 2y ago
Showed up late and the site is filled with garbage content.
120.
by parentheses 2y ago
I find the "threads" approach to prompting in a complex app very intriguing. Did you experiment with threading at different levels and how they interact? If so what can you share about this?

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