“Pivot to AI” started as a meme – but it may end up being the best advice crypto ever got. Over the next couple months, I see crypto forking down two distinct paths: (1) One path is more of the same: the same playbooks, the same products, the same low adoption, the same celebration of rev extraction from memecoin pump and dumps, and retail traders getting liquidated. That excite you? The other asks the question of: (2) What productive tools can blockchains enable that actually MATTERS in this new AI centric world? That’s the path we’re taking with @fogo Fogo is less than a year old, and @BaranosAI is already deployed on Mainnet; deterministic, verifiable AI inference designed to produce outputs that can be challenged, settled, and ultimately consumed by smart contracts as onchain state. What does that uniquely fix? Today, when an app uses an LLM, you have to trust the centralized company running the model, its infrastructure, and whatever black box configs sitting behind the API. Baranos changes the trust model. Commit the model. Commit the inputs. Commit the execution rules. Produce a deterministic result. Challenge it if necessary. Replay disputed computation onchain. Settle the canonical answer as state. Very different than: “put a chat box on a blockchain” It’s our attempt to make intelligence itself a blockchain primitive. And this is where Fogo comes in. Verifiable AI needs throughput, low-latency, predictable execution, and economics that make onchain verification and replay practical. For the current Baranos implementation, Fogo is the only blockchain that meets those requirements and can achieve roughly minute-scale results for dispute resolution. This is a different reason for a blockchain to exist if you think about what’s been built onchain in the past. So if you hate the fact that crypto has completely missed out on the growth and adoption of LLM’s – then it’s time we change that with real deployments like Baranos. (Hat tip @AskVenice for kicking this off) Took us a minute, but NOW we’re getting started. Thanks for your support.