There is no inevitability in AI. We all have agency over what comes next: Path 1: Closed-code APIs, concentration of power, and a future decided by a handful of people in Silicon Valley and DC Path 2: Open-source AI, where everyone
DECENTRALIZED AI
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Exponential accumulation of AI capabilities and need for open weights
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We believe that capabilities will most likely continue to accumulate exponentially. We believe that a world where a handful of companies provide all AI is worse than one where many can develop it. We believe that open weights and the
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Diversify AI providers and host a local AI
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All AI agent architects must absolutely connect to multiple providers to dilute risks and especially have an AI on a machine at home.
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AI future is open source, self-hosted models over big providers
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We’re gonna make sure in a couple of years people are confused if you still use Anthropic / OpenAI / Google and not using a self-hosted/zero-retention 3rd party inference provider with Opensource Models The future of AI is Opensource
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Decentralized Multi-Embodiment Collaboration using One VLA Policy
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CHORUS
— AK (@_akhaliq) 12 juin 2026
Decentralized Multi-Embodiment Collaboration with One VLA Policy pic.twitter.com/QIyWXsMdiLCHORUS Decentralized Multi-Embodiment Collaboration with One VLA Policy
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Open-source AI prevents corporate hostage situations in AI
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Imagine if today all you had was Fable 5 from Anthropic & GPT 5.5 from OpenAI – No Local Inference – No OpenCode : Hermes – No GPUs / DGX Sparks / Mac Studios Just a hostage situation to a few corps willing to rugpull you any sec Now you understand why we need Opensource AI
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Mythos: first AI model deliberately worse to block public benefit
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The public Mythos is the first model that is deliberately designed to perform worse on technical tasks than its predecessors. AI companies will have models that help them to do research, but they will increasingly block others from benefiting. Not your weights, not your brain!
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Concentration of power, capabilities, wealth in AI: open source needed
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The concentration of power, capabilities, and economic wealth is the greatest risk in AI. We need open science and open source more than ever!
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Which Local AI Model Would You Run on Your Infrastructure?
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LOCAL AI MODELS Which model would you run on your own infrastructure? Qwen 3.7 Max DeepSeek V4 Gemma 3 GPT OSS Different strengths: Privacy Control Cost efficiency Performance What are you running today? #AI #LocalAI #LLM #Ollama #OpenSourceAI
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RSI missing constitution; MontrealAI unveils proof-gated evolution GoalOS
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RSI was missing a constitution. Not “AI improves itself.” Proof-gated evolution: Aim → Act → Prove → Evolve. No proof, no evolution.
No eval, no propagation.
No rollback, no release. AEP-001: GoalOS https://
github.com/MontrealAI/pro
of-gradient/blob/main/docs/standards/AEP-001/GoalOS_Proof-of-Evolution-Constitution_AEP001_v12.1_Institutional_Final.pdf
… #GoalOS #MontrealAI