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Discussion (44 Comments)Read Original on HackerNews
The office is a decent analog for such a map. Referencing a database? That operation along with processing the information takes a little bit of time. During the interval, have the avatar move to a file cabinet and back to their desk. Have their computer screen change when they access web resources. If they use a particular tool, it can be represented somewhere in the room and used the same way. Interacting with another agent can be similarly represented.
Symbolizing the operation of the agent with movement and behavior is a great way to give an overview. It would support a much richer intuition for how they are accomplishing a task. It wouldn't even need to be a game UI for people who will have a hard time feeling like they are doing serious work while watching what appears to be a game, but that wouldn't bother me.
There are folks young enough now that they've never known anything other than "the desktop" (or CLI) as a computing metaphor.
But there's no fundamental reason a metaphor has to be anything specific... it should be whatever is most widely comprehensible and efficient for the problem space.
For people who haven't tried it: Munder Difflin is a local multi-agent harness that wraps around your existing claude code and codex subscriptions(we literally support almost all harnesses/coding agents).
Simulations are deterministic, they do not consume tokens, infact most of the users(20K+ in a week) say that it has reduced their token consumption due to a benchmarked memory layer acting as a hive mind called mempalace.
Common use cases apart from coding: 1. Create triggers that runs an live agent with your context(Webhooks, slack, scheduled) 2. Almost any kind of automation for yourself(I make it review PRs, send cold emails with enriched context, manage discord, Send myself analytics about how app is doing on email an end to end AI video production and posting workflow in 1 prompt and then some)
I'd love to hear your feedbacks on it.
why do you feel the need to pigeon-hole this work? the greatest things in life are more than one thing at once.
And why do you need E2E encrypted comms between your own agents? What is that protecting against? To prevent other agents snooping and maybe getting derailed? Or do you support conversations between agents of different users?
I do think a lot of folk would benefit from the introspection this offers. We've all been given the opportunity to become middle (and middling) managers, and a lot of the challenges we face are those of people who direct. Setting direction is tough. But LLMs are awesome tools.
Gas Town was (transparently, directly from the author's writing) a veneer of visual/linguistic flair applied over a conceptually fascinating and well-thought-out attempt to prod gen 1 LLMs (with all their flaws) into infinite, zero-touch agentic loops.
That the author chose to do so with Mad Max-themed animals doesn't validate or invalidate the underlying concepts.
Personally, I'd rather that than some soulless OpenAI / Anthropic / Microsoft / Google / Meta corporate-scrubbed blob of beige, riskless design.
Especially when it was abundantly clear they realized the presentation choice was ridiculous, but the guts were the more important part.
And not for nothing, there's the 'We're not Kansas anymore' utility of the sufficiently bizarre, to cue people to avoid reusing the wrong prior expectations.
E.g. in Munder Difflin: 'Your LLMs are occasionally brilliant but generally stupid characters, not brilliant human analogs'
It's not? https://munderdiffl.in/#pricing
but if people need some tamagochis to look at while their AI is working, maybe it makes sense