The paradox of open source AI is that while the code is open, the economics are closed. The current system collapses by 2025:
Training competitive models already costs $500K+
Value flows only to centralized platforms
Independent researchers can't compete at scale
Community contributions lack economic feedback loops
We're Bagel. Using cryptography to rebuild the foundation:
Private training (FHE)
Fair attribution
Decentralized infrastructure
Early proof: 26,000+ ML engineers + enterprise teams building production AI while maintaining full sovereignty.
The Bakery is live: https://bakery.bagel.net
Looking for ML researchers and engineers who want to fix this with us.
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[ 2.6 ms ] story [ 17.7 ms ] threadTraining competitive models already costs $500K+ Value flows only to centralized platforms Independent researchers can't compete at scale Community contributions lack economic feedback loops
We're Bagel. Using cryptography to rebuild the foundation:
Private training (FHE) Fair attribution Decentralized infrastructure
Early proof: 26,000+ ML engineers + enterprise teams building production AI while maintaining full sovereignty.
The Bakery is live: https://bakery.bagel.net Looking for ML researchers and engineers who want to fix this with us.