I don't code much in my position (State of California), but I'm pretty sure the public sector/government is a solid bet. Government has a major reluctance to use (and depend) on techniques and tools that haven't been proven out for like 5+ years. I suspect that most government coders' practices aren't at a 2021 best practices level yet.
Watching it in the theater was a fun experience. It seemed like most of the audience were containing their laughter, but me and one other guy were just belting out laughing. It'd be fun to go see again simply to get a sense for how many people will be less reserved with their laughter.
I also greatly appreciate getting to see the past few days' history for my location - too many weather sites are only really forward-looking, and I sometimes want to compare to a prior day when the current day feels different somehow.
No, none that I'm recalling. I think there was one that had a table of the prior few days' key metrics, but it was way down the page and just in a table format, way less intuitive than how your tool shows this info.
Relatedly, I would love it if a site offered some info about how irregular a place's recent weather has been lately. This would be really nice for a place you're vacationing in or visiting with an interest in moving there.
Have you posted anywhere online about your experiences with color e-ink displays? I think they're super neat, and I love the idea of using dithering for them. :D
Neat! I really liked the look of the Floyd-Steinberg algorithm in the article, so when I googled for a web tool that'll do it for me, I found the tool mentioned here: https://www.ascii-magic.com/styles/dither
It has some fun animation options and settings to play with, and there's other dithering algorithms to play with.
I haven't read Kant, but I like this description so much that I how it's indeed a good summary of some of his works. o7 Is this the main idea of Critique of Pure Reason?
Yay for dictation! It's so nice to just think aloud and then have an easily editable record of your thoughts, even when you aren't feeding the outputs to LLMs.
Heh. Sometimes when I'm stuck at work and feeling unmotivated/catch myself procrastinating, I'll write out my thoughts in my OneNote notebook that I take all work notes in. I do kinda cringe about the idea of IT reading those notes sometimes, but oh well, and it's helped a lot.
This is connecting to another commenter's idea that AI can be sort of a stand-in for journaling.
fwiw I asked my friend in IT who worked on the Claude rollout if they routinely read out prompts and he said no, they watch category of use and can usage stats then have a few alert flags if it is asked specific things such as security breaches, explicit keywords or about violence but otherwise they don't read it.
When people work for an insanely difficult project for more than 2 years, they probably pick something they personally love and don't need any external request.
As someone who reverse engineers games for fun and preservation, I would personally be more than happy to take an external request. With compensation, of course. Maybe not so much if it's the "do hundreds to thousands of hours of highly specialised labour for free" kind of request :)
I transcribed several pieces from a public-domain orchestral score of Swan Lake and uploaded them to Musescore's web site. This would have been ~dozens of hours of work. (For me, starting with almost no relevant training.)
I did this because those particular pieces were significant to me.
But I attracted the attention of another user who wanted to see more public-domain orchestral music on the site, and who contacted me to ask if I was planning to do the entire ballet (no; it's about 600 pages) and if I would take requests.
I responded that I was happy to take requests but wouldn't guarantee that I'd do any work on them. He requested Tchaikovsky's Italian Capriccio, which was a decent guess as to what I might be willing to transcribe (it's the same author)... but I looked into it, listened to the music, and just couldn't muster the enthusiasm to keep working on it.
So yeah, a request might work, but it's only likely to work if you happen to make an excellent guess about what the person would have wanted to do anyway. Think of it like drawing someone's attention to something.
What is the current SOTA in terms of tools? How are these tools being used with LLMs to speed up decompilation?
My current wishlist is to decomp Elite CGA version (tiny x86 binary) back into assembler and annotating all the method names, vars etc. That way I could swap out some of the inner loop using knowledge that has been uncovered in the last 40 years of optimizations.
These models are getting crazy good at examining things like core dumps and disassembly. I've been using an agent to write compiler logic, and its amazing the kind results you can get by having the agent examine the raw binary outputs. I would not be surprised to see agents excel at identifying and labeling patterns for decompilation.
Really? Could you share your techniques that get you there?
Inspired by https://github.com/scosman/cursed_browser, I have a little art project going where the CPU of a virtual machine is entirely LLM-powered. But even though the ISA is well known and clearly in the LLM's training data (it answers question about it mostly fine), I can rarely get it to even decode a handful of instructions in a row correctly. It'll e.g. do 10 instructions right (even execute right!), then just lose the ability to do bit manipulation all of a sudden and fail miserably at even decoding the 11th. If I try to help it along it'll apologize profusely, do it wrong in five novel ways, before it gaslights me saying I'm in fact mistaken.
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