gm took a full afternoon to run a clean prompt→result story on @OpenledgerHQ and it clicked why this isn’t just another “AI on chain” slogan
started in Studio, slid a curated csv into the Datanet, flipped on deterministic hashing, and watched attribution mint without me babysitting anything. lineage showed up as an auditable trail: my source, transformations, and final dataset all stitched and verifiable. no trust me bro, no silent edits. the on-chain view makes the work feel like an asset, not throwaway fodder #ProofOfAttribution #InfoFi
then moved to Model Factory: picked a tiny slm, toggled OpenLoRA for low-friction fine-tuning, and got a serving endpoint up without wrangling infra. turned on x402 so the agent could self-fund inference and settle out to contributors. a few test runs later, a small $OPEN micropayment hit my wallet tied to that exact job, with receipts stamped on-chain. attribution in → value out, programmatic and transparent. this is how #AgenticAI should operate
the before/after is stark. before: API keys, opaque dashboards, zero visibility into who enabled a model’s edge. after: data owners credited, models traceable, agents pay as they go, and developers aren’t stuck in platform lock-in. i’m not chasing a leaderboard here; i’m building a loop where my data earns, my models improve, and every step is audit-friendly. add in the mainnet stability and the stack feels ready for real workflows, not just demo theater. $OPEN is quietly turning attention and effort into an economy that respects origin
who’s spun up their first agent with x402 and OpenLoRA, and what did you learn about pricing inference when the receipts are verifiable in real time?
Most people think “privacy” in crypto just means hiding balances.
Zama goes much deeper.
With FHEVM, every claim or transfer is encrypted from the wallet to the contract state.
When you claim tokens:
– Amount is encrypted client side
– Tx hits the chain as ciphertext
– Smart contracts compute directly on encrypted data
– Balance updates stay encrypted on chain
– Only your wallet can decrypt the result
No validator, RPC, explorer, or MEV bot ever sees your balance.
Transfers work the same way:
– Encrypted balance checks
– Encrypted subtraction & addition
– Encrypted state for sender and receiver
The heavy FHE math is handled by Zama’s coprocessors, not validators, which is why they can already reach ~20+ TPS and scale to 1k–10k TPS with FPGA/ASIC.
This isn’t “hide the UI” privacy.
It’s encrypted logic + encrypted state + encrypted execution.
That’s a fundamentally new trust model for on chain assets.
@zama #ZamaCreatorProgram
gm took a full afternoon to run a clean prompt→result story on @OpenledgerHQ and it clicked why this isn’t just another “AI on chain” slogan
started in Studio, slid a curated csv into the Datanet, flipped on deterministic hashing, and watched attribution mint without me babysitting anything. lineage showed up as an auditable trail: my source, transformations, and final dataset all stitched and verifiable. no trust me bro, no silent edits. the on-chain view makes the work feel like an asset, not throwaway fodder #ProofOfAttribution #InfoFi
then moved to Model Factory: picked a tiny slm, toggled OpenLoRA for low-friction fine-tuning, and got a serving endpoint up without wrangling infra. turned on x402 so the agent could self-fund inference and settle out to contributors. a few test runs later, a small $OPEN micropayment hit my wallet tied to that exact job, with receipts stamped on-chain. attribution in → value out, programmatic and transparent. this is how #AgenticAI should operate
the before/after is stark. before: API keys, opaque dashboards, zero visibility into who enabled a model’s edge. after: data owners credited, models traceable, agents pay as they go, and developers aren’t stuck in platform lock-in. i’m not chasing a leaderboard here; i’m building a loop where my data earns, my models improve, and every step is audit-friendly. add in the mainnet stability and the stack feels ready for real workflows, not just demo theater. $OPEN is quietly turning attention and effort into an economy that respects origin
who’s spun up their first agent with x402 and OpenLoRA, and what did you learn about pricing inference when the receipts are verifiable in real time?