Capitanart

#LFK Looking For Knowledge collection published on @MakersPlace for a couple of years, inspired 100% by the great project of @TauLogicAI $AGRS I invite you to visit and enjoy the trip. Links🔗👇 makersplace.com/product/lookin…

The Balancer case demonstrates manual formal verification still contains a human selection step. Program synthesis from specifications removes that step. If the spec is complete, synthesis either produces a program that satisfies it or produces nothing. This is what Tau Language enables at the blockchain level. The governance spec IS the program. x.com/ohadasor/statu…

Tau Language just got dev docs for extending the system with new base Boolean Algebras. The structures Tau uses to abstract sentences, enabling the only formal language that can decidably refer to its own rules without paradoxes. A critical ingredient for Safe Agentic AI. 5-step guide for implementing custom BAs: template specialization, logical operators, comparison, constant parsing, and hash support. Sharing breakthroughs with the community. Not just another EVM fork! 🔗 github.com/IDNI/tau-lang/…

The Claude leak needed the rule "never send private data over the network." The Mercor breach needed "reject any update that hasn't been formally verified." Obvious rules but no language can enforce them across all future states of a system apart from the Tau Language. Tau Language is "The critical ingredient for Safe AI" - Ohad Asor

How Tau would have stopped a $280M hack: Attackers compromised the Security Council's keys, removed withdrawal limits, and drained $280M before anyone could react. "How does this keep happening?" DeFi needs Tau's tech to formalize rules into the protocol itself. Rules such as - "It is not the case that withdrawal limits are modified without a time lock of 48 hours and approval from at least 3 of 5 signers." - "It is not the case that any single withdrawal exceeds 100,000 within a 24-hour period without multi-signature approval." - "It is not the case that a governance proposal overrides or weakens any safety rule while funds are held." - "It is not the case that an asset is accepted as collateral without verification from at least two independent price sources." These will be Tau specifications for software that physically can't do what the spec forbids.

With these scenarios occurring more often we're anticipating a shift towards a formal specification architecture. Where safety conditions are defined at the language level can't be overridden by downstream "reasoning". So the agent literally cannot construct actions that violate it. "If any of my future commands contradicts safety conditions, reject them". It's of course mathematically hard, and most frameworks don't attempt it but it is very necessary for agents to be taken seriously in future.

We should have a 1-time universal basic income to "pay off" weak incumbent ideas that delay human progress. We could be much further if we had a mechanism to let poor methods die by offering them a 1-time payout instead of cronyism that allows them to continue to profit. They still win, but we all win, thank you for your service. Where could we be with science, energy and technology? Great ideas often don't win for the wrong reasons, we need to ensure that they do.

Andrei has pushed multi-validator round-robin mining to the testnet alpha. Multiple authority nodes now take turns producing blocks. Deterministic scheduling based on block number. Nodes check if it's their turn before touching the mempool. Each node logs a SHA256 fingerprint of the validator schedule at startup so you can spot mismatches across the network immediately. This consensus layer is temporary on purpose. The whole architecture separates consensus state from application state so the mechanism can be swapped out, eventually replaced by consensus rules written in Tau Language that the network's users govern through logical agreement. Most chains pick a consensus mechanism and live with it forever. We're building the infrastructure to let users change it. Follow for access to latest features. github.com/IDNI/tau-testn…

What if a blockchain's consensus mechanism was just another rule users could update? New testnet commit from Andre 👇 Andrei's architecture separates consensus state from application state specifically so the mechanism can be swapped without touching the rest of the chain.

The world is changing rapidly, and current systems are too brittle to handle it. Systems of the future will be designed to change and adapt to new data accurately and autonomously.

This list will keep growing and not because auditors aren't skilled, but because the fundamental approach is wrong. You cannot audit a program for correctness against a requirement that was never formally stated. "Never drain user funds under any condition" Solidity can implement the specific guard you describe. It cannot enforce that intent across future deployments, upgrades, or edge cases you didn't anticipate. Formal specification languages solve this at the source. Programs correct by construction x.com/Tau_Net/status…

✅Completed Milestone: Fork choice is now in Tau Testnet Alpha. Until now, the node picked whichever block had the highest number in the database and called that the chain tip. That's fine when there's one chain, but it falls apart the moment you get a fork. Now the node actually tracks a canonical chain and handles competing branches properly. How it works: The node looks at all leaf blocks (blocks with no children yet) and throws out anything that doesn't trace back to Genesis. No orphaned branch can accidentally become the head. From there, longest chain wins. If two branches tie on height, a block-hash tie-breaker decides. When a longer branch shows up, the node reorgs: - Finds the common ancestor between old and new head - Rebuilds state along the new path - Swaps the canonical head atomically - Returns abandoned transactions to the mempool (unless the winning branch already includes them) Now syncing between peers is safer, every node agrees on chain selection, and transactions don't get lost during reorgs. Providing a stronger foundation for multi-node network behaviour.