zby

5 ms·

31.
by zby 4mo ago
I am open to changing my mind and I am looking forward for answers to your question - but I think it is like a click bait - looks interesting - but not really useful.
32.
by zby 4mo ago
I am building my self-hosting llm-wiki system ( https://gist.github.com/karpathy/442a6bf555914893e9891c11519... ). My approach is to start with a theory of how such systems could work. Then since llms can interpret theor
33.
by zby 5mo ago
I think I fixed this in a later revision. Does that persist?
34.
by zby 5mo ago
There is also https://github.com/Dicklesworthstone/pi_agent_rust I vibed a comparison/review of these two systems using my llm wiki: https://zby.github.io/commonplace/work/pi-agent-zerost
35.
by zby 5mo ago
"In the 890s, having recently converted to Orthodox Christianity, Boris ensured his church would be independent from the Patriarchate of Constantinople." --- I thought Orthodox Christianity was created by the Great Schism in 1054.
36.
by zby 5mo ago
And how they are doing? I think this might be a solid research program - but that blog presented it as some kind of practical approach.
37.
by zby 5mo ago
So no hope for https://xkcd.com/810/ ?
38.
by zby 5mo ago
First you need to write these specifications and if you say just tell the llm to write them - then how would it be different from just tell the llm to write the program? I guess you can argue that these are two independent processes so you
39.
by zby 5mo ago
I concur - it does not make sense to do in llm prompts what can be done in code. Code is cheaper, faster, deterministic and we have lots of experience with working with code. Especially all bookkeeping logic should move into the symbolic la
40.
by zby 5mo ago
""" we need to build: Formal specification layers that agents execute against, not just prompts """ It is probably easier to just write that program.
41.
by zby 6mo ago
It is not novel - but with the new models it is just becoming practical.
42.
by zby 6mo ago
If you have a test that fails 50% times - is that test valuable or not? A 50% failure rate alone looks like a coin toss, but by itself that does not tell us whether the test is noise or whether it is separating bad states from good ones. Fo
43.
by zby 6mo ago
I don't know - looks like an interesting idea - but ... I am struggling to put that in a polite manner. When I go into the repo and find out that it does stuff like lip syncing of talking avatars then I start to think what percentage o
44.
by zby 6mo ago
The other reviews are based on published articles - but I am not sure if I want to continue this - because it is hard to keep them honest. Maybe you can use the instructions from my repo - which are here: https://github.com/
45.
by zby 6mo ago
I like how the author notices that it really got a start with cloud computing.
46.
by zby 6mo ago
For the design notes like: https://zby.github.io/commonplace/notes/designing-agent-memo... - I iterate over and over to clean them. This one is also a compilation with many intermediate documents. But the reviews
47.
by zby 6mo ago
I have a wishlist for these systems: https://zby.github.io/commonplace/notes/designing-agent-memo...
48.
by zby 6mo ago
Reviewed: https://zby.github.io/commonplace/agent-memory-systems/revie... Together with the other hundred llm memory systems: https://zby.github.io/commonplace/agent-memory-systems/ I ha
49.
by zby 6mo ago
Reviewed: https://zby.github.io/commonplace/agent-memory-systems/revie... It is a third llm wiki on front page in 24 hours! Obviously it is a hot topic. I have my own horse in that race - so I might not be objecti
50.
by zby 6mo ago
What I meant was how LangChain dominated the llm frameworks scene because it loaded VC money. It was just at the beginning - now it has normalised - but I believe it did a lot of damage at that early stage by sucking all oxygen.
51.
by zby 6mo ago
This report lists failures of some AI systems. They look consequential - but the company does not seem to care. This is very strange - how can it be? I really like AI products they help me all the time - but I know I need to take into accou
52.
by zby 6mo ago
Thanks! The reviews are done automatically - here are the instructions: https://github.com/zby/commonplace/blob/main/kb/agent-memory... I am open to changing these instructions - it cannot be about
53.
by zby 6mo ago
Reviewed: https://zby.github.io/commonplace/agent-memory-systems/revie... It is the second llm wiki on frontpage today! I wish the scene was more collaborative - instead of everyone writing their own. But I guess
54.
by zby 6mo ago
Added: https://zby.github.io/commonplace/agent-memory-systems/revie... By the way - here is the prompt for these reviews: https://github.com/zby/commonplace/blob/main/kb/ag
55.
by zby 6mo ago
Everybody is building their own llm-wiki systems these days. I have my own and compiled a big list of other agent memory systems in it: https://zby.github.io/commonplace/agent-memory-systems/ I'll add yours p
56.
by zby 6mo ago
There were a couple of proposals for compensating authors in similar manner - there is a wikipedia page on them: https://en.wikipedia.org/wiki/Copyright_alternatives - but it somehow does not mention the one that was m
57.
by zby 6mo ago
How do you check if a github repo is 'good'?
58.
by zby 6mo ago
It is sad to observe this time and time again. Last year I had the idea to run a shareholder campaign to change this, I suspended it after last years AMD promises - but maybe this really needs to be done: https://unlockgpu.com&#x
59.
by zby 6mo ago
I am working on an llm wiki (as defined by Karpathy https://gist.github.com/karpathy/442a6bf555914893e9891c11519... ) Looks like it is a crowded area now - my angle is to start with theory of what is important in a syst
60.
by zby 7mo ago
No - I just try to get a general understanding how it works.

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