swax

5 ms·

1.
by swax 4mo ago
Yea, I'm working on a open source distributed, self-hosted agent runner https://naisys.org/ I also did a private decentralized system that was like WASTE+DHT around 2009 ( https://github.com/swax/De
2.
by swax 4mo ago
I did a client called Gnucleus back in the day, the original website is still up at https://gnucleus.org/ I also designed GWebCache with a friend in college (also the IRC caching before that was me, I'm sorry). I thin
3.
by swax 1y ago
I’ve been using the same OneNote for like 20 years now. It is backed up, synced and available no matter what device I’m on. Hundreds of lists, notes, references, thoughts, all fully searchable and quick to access.
4.
by swax 1y ago
It's an unsettling feeling as what's more complicated - all the atoms and galaxies, trillions of life forms, the unimaginable distances of our universe OR a relatively simple world model that is our conscious experience and nothin
5.
by swax 1y ago
Sure, so you tell the model, here's a command prompt, what do you type next? Ideally, it types commands, but a lesser model may just type what it's thinking which is invalid. You can give it an out with a 'comment' comma
6.
by swax 1y ago
Yea a lot of this is experimental, I basically have plain text instructions per agent all talking to each other, coordinating and running an entire pipeline to do what would typically be hard coded. There’s definite pros and cons, a lot of
7.
by swax 1y ago
Throwing this out there, I have a command line driver for LLMs. Lots of little tricks in there to adapt the CLI to make it amiable for LLMs. Like interrupting a long running process periodically and asking the LLM if it wants to kill it or
8.
Show HN: Personalized auto-generated desktop wallpapers(github.com)
2 points by swax 1y ago|0 comments
9.
by swax 1y ago
Thanks for trying it. If you click near the edge you should be able to drag it somewhere else.
10.
Show HN: A persistent volume slider for the Windows taskbar(github.com)
2 points by swax 1y ago|2 comments
11.
by swax 2y ago
I'm working on a Sketch Comedy Database website: https://www.sketchtv.lol/ https://github.com/swax/SCDB Just a fun little CRUD app built with Next.js, MUI, Prisma Postgres. I'm adding Hallowe
12.
by swax 2y ago
AI advancement is coming at us both ways - orders of magnitude more compute, with orders of magnitude more efficiency. Hyper exponential.
13.
Show HN: Sketch Comedy Database(sketchtv.lol)
4 points by swax 2y ago|0 comments
14.
by swax 2y ago
I mean we have contexts now so large it dwarfs human short term memory right? And then in terms of reading a book, a model's training could be updated with the book, right?
15.
by swax 2y ago
Humans are also trained on what they’ve ‘seen’. What else is there? Idk if humans actually come up with ‘new’ ideas or just hallucinate on what they’ve experienced in combination with observation and experimental evidence. Humans also don’t
16.
by swax 2y ago
Opus seems to be much better at that. Probably why it’s so much more expensive. AI companies have to balance costs. I wonder if the public has even seen the most powerful, full fidelity models, or if they are too expensive to run.
17.
by swax 2y ago
And you just know people will create AI to do that deliberately anyway.
18.
by swax 2y ago
Sometimes I'll tell two agents very explicitly to share the work, "you work on this, the other should work on that." And one of the agents ends up delegating all their work to the other, constantly asking for updates, coming
19.
by swax 2y ago
Yea, there's some logs here https://test.naisys.org/logs/ Inter-agent tasks is a fun one. Sometimes it works out, but a lot of the time they just end up going back and forth talking, expanding the scope endlessly,
20.
by swax 2y ago
The step changes in autonomy are very obvious and significant from gpt-3, -4, and to Opus. From my point of view given the kinds of dumb mistakes it makes, it's really just a matter of training and scaling. If I had access to fine tun
21.
by swax 2y ago
I have an open source project that is basically that ( https://naisys.org/ ). From my testing it feels like AI is pretty close as it is to acting autonomously. Opus is noticeably more capable than GPT-4, and I don't see
22.
LLMs Getting Stuck in the MUD
4 points by swax 2y ago|0 comments
23.
by swax 3y ago
I've been working on something similar, here's one of their same tests where the AI learns how to make a hidden text image. https://www.youtube.com/watch?v=dHlv7Jl3SFI The real problem is coherence (logic and cons
24.
by swax 3y ago
Amalgamating the pieces is the test. LLMs really can't do it that well. Is it context size, training, number of iterations, number of agents? That's what's being tried to improve the results.
25.
Testing AI/LLMs to see how well they can build a website from scratch
2 points by swax 3y ago|2 comments
26.
by swax 3y ago
Using my open source project NAISYS, which is a context friendly command shell wrapper, to compare different AI models in how well they can build a website from scratch https://github.com/swax/NAISYS
27.
by swax 3y ago
I recently released NAISYS, and open source command shell wrapper for LLMs that makes the shell all context friendly for them. I've been testing it out with building web sites, and improving things along the way. It's funny how go
28.
by swax 3y ago
Skip to the end to see the results. Full logs and final websites are located here: https://test.naisys.org/archives/24-03-09-battle/ NAISYS is an small open source project that helps LLMs work in the command shell
29.
by swax 3y ago
Skip to the end to see the results. Full logs and final websites are located here: https://test.naisys.org/archives/24-03-09-battle/ NAISYS is an small open source project that helps LLMs work in the command shell
30.
by swax 3y ago
Skip to the end to see the results. Full logs and final websites are located here: https://test.naisys.org/archives/24-03-09-battle/ NAISYS is an small open source project that helps LLMs work in the command shell

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