Except that we can make Opensource and Local AI win. Anthropic isn’t Google, it’s Microsoft , and Microsoft was beaten; they even ship Linux now.
DECENTRALIZED AI
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Proof-gated coordination: missing architecture for large multi-agent systems
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We have identified the missing control architecture for large multi-agent systems:
proof-gated coordination. Large multi-agent systems coordinate to optimal effect when they are organized around proof-gated work, validator-mediated acceptance, governed memory, settlement, and -
GoalOS aims for proof-gated autonomous work generating verified capability
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GoalOS is architecturally pointed at one of the Holy Grails: proof-gated, economically coordinated, open-ended autonomous work that can generate verified experience and reusable capability. #AGIALPHA
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AI concentration risk demands rebel alliance against power and wealth
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The biggest risk in AI is concentration: of power, capabilities and economic wealth. Who can doubt it with trillion dollar companies and government now already controlling a massive part of it? So we need more rebels and more rebel alliance like this one from @usv and friends.
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Overview of over 400 decentralized AI companies
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This is 400+ companies in the decentralized AI space. That'll get you started.
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Use private AI to speak candidly as safely as thinking
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been doing this the last few weeks but highly recommend doing it locally or with a privacy preserving service like tinfoil or venice, for the sake of others in your logs and also because most people don’t speak candidly to claude. talking to a private ai feels as safe as thinking
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Open source AI requires local AI for survival
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Opensource AI needs Local AI to survive Once people get their heads around that we will all be better off Opensource and Local AI FTW
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Why Big Labs Ignore Continual Learning: It Runs Locally
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Continual Learning will run locally That's why the big labs aren't talking about it Not your weights, not your model, LITERALLY
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BitTorrent-like crowdsourced training using user compute
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if data transfer was much cheaper and operations were much more expensive, we'd probably have bittorrent-like crowdsourced trainings?
An app where any individual signs in with their phone/computer, which uses their compute at a cost of X cents/hour to participate in the training -
Manufacturers shift AI decisions from cloud to edge for low latency
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This is why many manufacturers are rethinking where AI decisions happen, not just how good those models are. The shift is moving decision-making to the edge of the network, inside the factory itself. That means:
→ No dependency on distant cloud infrastructure
→ Ultra-low