Online trust still runs on a broken binary built around anonymity vs. identity. Proof of human preserves privacy while adding trust to online interactions. Via @hackernoon:

"Real businesses could bring the next wave of capital onchain" Ansem on what makes @crediblefin one of the most interesting businesses bringing ownership onchain through @MetaDAOProject: “They’re making a good amount of money right now. It’s actually a real business, a real startup, and the token is completely aligned with the equity.” “If people see those startups doing well, that’s what is going to attract a lot more institutional capital into the space.” - @blknoiz06 MetaDAO is making the onchain market bigger than speculation by opening it to real businesses, real revenue, and aligned ownership.

This represents a vital step towards closing the gap between training and inference, and moving towards continual learning in production. Several of our customers have been training with BYOH. Read the full report.

AC2 supplies a rollout-specific OpenAI-compatible endpoint backed by the policy being trained, plus a lifecycle wrapper to initiate, monitor, and grade rollouts. Our trace server reconstructs each rollout as a sequence of append-only episodes using structural prefix matching, so compaction and subagent calls stay grouped under one rollout with their distinct contexts preserved. Your harness keeps ownership of context, tools, and state; only completions and grading artifacts cross into the training stack.

You can now post-train a model inside your existing production harness with our platform, AC2. A production harness is a whole engineered system around the LLM, with its own context management, tools, sandboxing, and control flows. Porting that into a new training runtime can be expensive and could introduce train-test mismatch, where the policy is optimized against a simulated harness and then struggles in production. All you need to do is swap out the harness’ LLM response endpoint to one provided by AC2, and expose a lightweight protocol for AC2 to initiate and grade rollouts; the trainer handles the rest.

“You’re either going to win big or you’re going to lose” Vukan, Co-Founder of @JurassicFi, at the MetaDAO Inaugural Ownership Meeting on why the team chose a permissionless raise despite the odds: “There have been around 50 raises, 45 failed, and the five that succeeded became heavily oversubscribed. It’s a mixed bag” “My co-founder @Sora_i_guess was skeptical, so we spoke with every launchpad we could but nothing was really as good as @MetaDAOProject” “Jurassic was not a project yet, it was just an idea” “Tokenizing dinosaurs was simple, easy to explain, and something people could rally around” “What MetaDAO and @futarddotio gave us was a way for people to back two guys with an idea, no background in dinosaurs, and no track record as crypto founders” “People could trust that we weren’t going to rug, but there was really no trust required because we couldn’t rug” - @vukan0x Permissionless ownership gave Jurassic Finance the chance to test the idea, raise its first capital, and start building it into something real

Fudders out in force with various narratives based more on bags then truth Meanwhile $150m traded on before it even launched Still in beta and getting way more traffic then expected so ui has some rough spots but they’ll be fixed soon 🐸