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Agent swarms and the new model economics

cursor.com

71–80 of 159 posts

Re: Agent swarms and the new model economics

#71

The issue is that the only models that could be trusted to work autonomously cost more than a human employee

Cursor is saying we need to get improve the harness and tooling, but the models are getting better. One would have to assume that will continue and that cheaper/smaller models will continue to become even more useful.

Re: Agent swarms and the new model economics

#72
post #46

Earlier quoted context omitted.

If at the end Shakespeare-level literature is produced, does it matter whether we arrived there by random keystrokes?

The problem is the infinite other literature produced along the way. It doesn't work to throw more monkeys at the problem of verification, and checking for matches against existing Shakespeare plays is cheating.

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Re: Agent swarms and the new model economics

#73

Earlier quoted context omitted.

It's hard not read such quotes and immediately think of the Infinite Monkey Theorem. https://en.wikipedia.org/wiki/Infinite_monkey_theorem

If at the end Shakespeare-level literature is produced, does it matter whether we arrived there by random keystrokes?

2*128 is the UUID namespace, which is astronomical. That is like 21 letters. Making one sentence of Shakespeare by random search is strictly 0% chance. SHA256 is ~43 letters then. "LLM broke all of cryptography and creates random data to fit a hash" -- are we there yet? Random search does not work at this scale. In all their cases, they played with pre-existing well-studied software, so they had an embedded fitness function. An extremely detailed one.

Monkeys have been reading Shakespeare all their lives (training). Effectively, this is LLM uncompression. Hence, "in Rust, from nothing but its documentation" -- not entirely true.

Re: Agent swarms and the new model economics

#74
post #2

>The browser swarm from earlier this year peaked at roughly 1,000 commits per hour on Git. The new system peaks at around 1,000 commits per second. >To facilitate this rate of activity, we built a new version control system (VCS) from scratch. Throughput was not the only reason to own this layer. Every change in the system passes through the VCS, so it is where collisions first become visible, and several of the coor…

Making a high-throughput revision control system is doable, there have been experiments here on HN with git-in-postgres etc. The question is, what is the actual bottleneck here?

I made a VCS for LLM assisted work, bootstrapping it on its own code as it was developed. In fact, if it did not really work, it would not even exist! In my experience, keeping track of things and evaluating them was the bottleneck and I focused on that https://replicated.live/blog/worktree Effectively, the question is "how to leverage human evaluation and feedback".

The Cursor people concluded their last post with "taste, judgement, and direction came from humans". Sounded surprisingly sane after "don't compile it, commit it faster" some paragraphs earlier.

Re: Agent swarms and the new model economics

#75

Tinfoil hat: what if the prices are artificially inflated deliberately to price out casual users being able to field large swarms of frontier model agents because it could be just too dangerous.

The fact that the swarm needs high quality docs to work from will keep most of the tech industry safe.

Re: Agent swarms and the new model economics

#77
post #45
post #31

Earlier quoted context omitted.

Even if no Rust code for it was seen during training, an LLM can trivially transpile SQLite's C codebase to Rust on the fly. For example, I just asked ChatGPT to write John Carmack's famous Fast Inverse Square Root algorithm in Erlang, without searching online or thinking, and it transpiled it immediately (while also extracting the knowledge in the same step). SQLite's semantics/code are stored in the middle layers o…

Then you would expect the implementation to be structured the same as SQLite, and having glanced at the result, it looks like at least some things aren't. For example, it seems to use an operator-tree executor rather than SQLite's bytecode interpreter.

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Re: Agent swarms and the new model economics

#78
post #50
post #2

>The browser swarm from earlier this year peaked at roughly 1,000 commits per hour on Git. The new system peaks at around 1,000 commits per second. >To facilitate this rate of activity, we built a new version control system (VCS) from scratch. Throughput was not the only reason to own this layer. Every change in the system passes through the VCS, so it is where collisions first become visible, and several of the coor…

I mean why even use VCS at that point?

imho, to be able to revert and recall as agents loose context due to new spawn or compaction.

Re: Agent swarms and the new model economics

#79

Earlier quoted context omitted.

Yes and this can be proven because what Anthropic says and does is vastly different They say SaaS is dead and you can vibe code any SaaS using Opus and yet despite having Mythos with them they have to use JS terminal to run Claude Code. Why don't they just vibe code CC? Why doesn't Dario have a 100000 agent swarm to run entirety of Anthropic or at least software department?

They've said for some time that Claude Code is 90% LLM generated code.

Yeah and it's still a cli tool running on JS

So it's not a brag

They could just write in Rust directly can't they? If they do that then they're doing what they preach

Re: Agent swarms and the new model economics

#80

Earlier quoted context omitted.

It's hard not read such quotes and immediately think of the Infinite Monkey Theorem. https://en.wikipedia.org/wiki/Infinite_monkey_theorem

If at the end Shakespeare-level literature is produced, does it matter whether we arrived there by random keystrokes?

And if in the end it does not produce masterworks, going faster and breaking things will be seen as a huge and credulous waste of time that poisoned the internet and some codebases beyond redemption.

But I’m glad someone else is running all these experiments so we can see who is right in their guess about the outcome.

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