[HN Gopher] Show HN: Maestro - A Framework to Orchestrate and Gr...
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       Show HN: Maestro - A Framework to Orchestrate and Ground Competing
       AI Models
        
       ive spent the past few months designing a framework for
       orchestrating multiple large language models in parallel -- not to
       choose the "best," but to let them argue, mix their outputs, and
       preserve dissent structurally.  It's called Maestro heres the
       whitepaper https://github.com/d3fq0n1/maestro-orchestrator
       (Narrative version here: https://defqon1.substack.com/p/maestro-a-
       framework-for-coher...)  Core ideas:  Prompts are dispatched to
       multiple LLMs (e.g., GPT-4, Claude, open-source models)  The system
       compares their outputs and synthesizes them  It never resolves into
       a single voice -- it ends with a 66% rule: 2 votes for a primary
       output, 1 dissent preserved  Human critics and analog verifiers can
       be triggered for physical-world confirmation (when claims demand
       grounding)  The feedback loop learns not only from right/wrong
       outputs, but from what kind of disagreements lead to deeper truth
       Maestro isn't a product or API -- it's a proposal for an open,
       civic layer of synthetic intelligence. It's designed for epistemic
       integrity and resistance to centralized control.  Would love
       thoughts, critiques, or collaborators.
        
       Author : defqon1
       Score  : 15 points
       Date   : 2025-05-27 18:51 UTC (4 hours ago)
        
       | Yusefmosiah wrote:
       | I'm building something similar.
       | https://github.com/YusefMosiah/Choir.chat -- if you email me at
       | yusef@choir.chat I can invite you to the iOS TestFlight alpha.
       | Happy to talk about in more detail as well.
       | 
       | Getting the UX to work well enough is a major challenge. I'm
       | redesigning that currently, as I got negative feedback from early
       | testers on my initial experimental UX. There's a balance to be
       | struck between giving users a low latency response, giving the
       | models time to work together and call tools, and not overloading
       | the user with too much information.
        
       | snappyleads wrote:
       | I also tried something similar - I called it https://supergo.ai
       | .. However - I went with the approach to conclude with a final
       | output.
        
       | defqon1 wrote:
       | hi all, thanks for the attention
       | 
       | feel free to ask me anything you like. while at face value it
       | seems to be a simple prompt aggregator and optimizer it goes far
       | beyond that. consider it a meta-architecture for future synthetic
       | intelligence and self-improving digital minds
        
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       (page generated 2025-05-27 23:01 UTC)