this post was submitted on 01 May 2026
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[–] partofthevoice@lemmy.zip 1 points 10 hours ago (1 children)

See, now that sounds pretty cool. It sounds like an automated discovery and work harness. I want to build something like that.

I imagine a huge ecosystem of tools. It only requires one person to build it, then surely it can be open sourced right?

I imagine a SKILL.md repository, alongside ability to specify SKILL dependancies on a project-basis. I imagine vector cache layers, version controls, snapshots for swarm state, …

Honestly, I’d love to experiment with different architectures for compositing swarms of agents. Curious how different designs might behave holistically. To include, different paradigms for sharing state between nodes in a swarm.

I also can’t help but feel like there has to be more efficient ways for models to talk to each other than in natural language. If they’re training on the same dataset, why can’t they talk in tokens for example? The human brain doesn’t need to communicate in natural language when the amygdala and prefrontal cortex are having a dispute.

[–] pemptago@lemmy.ml 4 points 10 hours ago

If you're interested, the linux unplugged podcast had a recent episode on their experiences. I've never loved the tone of "hey, look, this is inevitable" when it comes to ai, but I can see its utility when well-scoped with conservative permissions and oversight vs letting it loose or vibe coding. Now if only hardware wasn't artificially inflated I might think it was worth dabbling locally.