If you could change one thing about how AI inference pricing works today, what would it be? We're building an alternative. Your frustrations are our feature list. #Pricing #AI #MLBridge

Observation: Every major platform started open and became extractive. Facebook API. Twitter API. Google Maps API. First free, then expensive, then restricted. On-chain protocols can't do this. The rules are in the contract. #OpenByDesign #MLBridge

AI inference cost breakdown: Most of what you pay goes to: 1. Cloud margin (30-50%) 2. Platform fee (10-30%) 3. Actual compute cost (20-40%) Remove #1 and #2 and costs drop dramatically. That's the MLBridge model. #Costs #AIInference #MLBridge

What is the EVM size limit? Ethereum contracts can't exceed 24,576 bytes (24KB). Our TaskManager compiles to 23,422 bytes. Just 1,154 bytes of headroom. Every function, every variable is optimized. This is the constraint that shapes contract design. #EVM #Solidity #MLBridge

Layer 2 explained: Ethereum L1: secure but ~$5-50 per transaction. Base L2: inherits Ethereum security, ~$0.01 per transaction. MLBridge needs cheap transactions because every task involves multiple on-chain actions. L2 makes decentralized AI economically viable. #Layer2…

What is an ERC20 token? A standard interface for fungible tokens on Ethereum-compatible chains. MLB is an ERC20 token on Base. It follows the standard: transfer, approve, balanceOf, totalSupply. Standard means interoperable. #ERC20 #Token #MLBridge

For researchers in the community: How important is reproducibility in AI inference to you? Our verification model ensures multiple providers check the same result. Is that something your work needs? #Research #Reproducibility #MLBridge

What is the difference between verification adapters? ConsensusAdapter: Multiple humans/bots vote on result correctness. ZKAdapter: Zero-knowledge proof verifies computation without revealing data. TEEAdapter: Trusted hardware environment guarantees execution…

Verification adapters explained: The VerificationAdapterRegistry supports multiple verification methods: - ConsensusAdapter (vote-based) - ZKAdapter (zero-knowledge proofs) - TEEAdapter (trusted execution) Different tasks. Different trust models. #ZeroKnowledge #TEE #MLBridge

What type of AI models would you run on a decentralized network? - Image classification - Text generation - Audio processing - Custom fine-tuned models - Something else? Tell us what you'd deploy. #AIModels #Community #MLBridge