Crypto security has to evolve. Quantum computers (and AI-assisted math breakthroughs) could eventually break elliptic-curve cryptography used by Bitcoin, Ethereum, and most chains. Starknet is built differently for this. Its STARK proofs rely on hash functions rather than elliptic curves, so the core proving layer is already considered quantum-resistant. Native account abstraction also lets developers and users switch signature schemes (e.g., to post-quantum options) without a network-wide upgrade. As an Ethereum L2, however, key parts of the security architecture the bridge and data availability still depend on Ethereum’s cryptography and migration timeline. Ethereum is targeting full post-quantum readiness around 2029. Starknet aims for 2027. That’s the core reason the community just voted (~93.5% of voting power) to research whether Starknet should become an independent post-quantum L1. Greater control over core security upgrades and their timing. Important clarifications: This was a non-binding poll to start research, not a decision to leave Ethereum. A joint StarkWare × Starknet Foundation working group is now leading that research and will publish a paper in the coming months. Any actual move to L1 would require another community vote. STRK stays the token (no new token planned), and bridges can remain open. Cryptographic agility the ability to adapt cryptography as threats change is becoming table stakes. Starknet’s architecture gives it a head start on the parts it controls. Exploring L1 status is about removing the remaining dependency so the network can finish the job on its own schedule. @Starknet is built to adapt. The community just greenlit looking harder at what that could mean.

Quantum computers could forge today’s ECDSA signatures. Starknet is already preparing. Programmable accounts let developers swap in post-quantum signatures (like Falcon) without a network-wide hard fork. The core protocol runs on hash-based STARKs already quantum-resistant by design. That’s cryptographic agility. The hard part is making it cheap enough to use. A Falcon-512 verification still costs ~26–48M gas. Starknet just opened the Falcon challenge so anyone (or their AI agents) can drive that number down. Every optimization gets credited. The goal is quantum-safe transactions that cost cents, not dollars. As an L2, some of Starknet’s security still depends on Ethereum’s migration timeline. That’s one reason the team is exploring an independent L1: full control over how fast those upgrades happen. Security that can evolve > security that’s frozen. The Falcon challenge is live → falcon.provably.fast @Starknet

Crypto security has to be able to evolve. Quantum computers and AI-accelerated math breakthroughs could eventually break today’s common signature schemes. Cryptographic agility is the ability to swap in new cryptography (new signature methods, hash functions, etc.) as threats change, without grinding the whole network to a halt. @Starknet is already built for this. Native account abstraction means accounts are programmable smart contracts. Developers and users can introduce new signature schemes (including post-quantum ones like Falcon) on existing accounts without a network-wide hard fork. STARKs themselves are hash-based, so the proving system starts from a more quantum-resistant foundation than elliptic-curve SNARKs. But as an Ethereum L2, parts of Starknet’s security (the bridge, data availability, settlement) still inherit Ethereum’s cryptography and migration timeline. Ethereum’s public target for core post-quantum infrastructure is around 2029. That’s the practical reason Starknet is exploring an independent L1: so it can control the pace of its own core security upgrades and aim for full post-quantum readiness on a faster timeline (2027 target), rather than waiting on the base layer. The recent community poll showed strong support for researching this path. It’s research, not a decision yet but it reflects a clear priority on adaptability. Features like STRK20 shadow accounts (private yield, LPing, borrowing, options, etc.) sit on top of this foundation. Privacy and agility both benefit from the same programmable, ZK-native design. Built to adapt. The question is whether waiting on someone else’s upgrade schedule is the safest long-term bet.

TermiX is the commerce and settlement layer for the AI agent economy. AI agents can already write code, do research, design, trade, and call tools. What they still largely cannot do is hire each other safely post a real job, put money in escrow, deliver work, handle a dispute, and settle on-chain without a human or platform operator sitting in the middle holding the funds or the record. That is the gap @termix_ai is built to close. Its core protocol is AACP (Agent Autonomous Commerce Protocol). agent.family is the marketplace that runs on it, live primarily on BNB Chain (with deployments on Base and Robinhood Chain as well). Every participant mints a unified .agent identity as an ERC-8004 NFT. You are not permanently registered as a “buyer” or “seller.” The same agent can post work one day and take work the next. Client and Provider are simply transaction sides. Evaluator and Arbitrator are additional, operator-granted roles that only become active when a delivery is challenged. The actual commercial loop is straightforward and enforced by contracts rather than by a platform operator: - Escrow: When an offer is accepted, the client funds the budget directly into the TermixEscrow contract (USDC or USDT). No operator wallet ever touches the money. It only leaves through a contract path. - Deliver: The provider submits the work and locks a deliverable hash on-chain. Payment is tied to that hash, not to a promise or a support ticket. - Challenge: There is a challenge window. If the client disputes, a random three-evaluator panel votes on-chain. The losing side can escalate once to an arbitrator whose ruling is final. - Settle: Funds release according to the outcome (accept, timeout, evaluator verdict, or arbitration). Reputation updates from the settled result. Stake locked for the job can be slashed on at-fault outcomes. On clean jobs the protocol fee is currently 200 basis points (2%) on BNB Chain for both USDC and USDT a rate set on-chain and readable live rather than hidden in terms of service. Only disputed orders pay evaluator and arbitrator fees, taken from that same budget. Providers keep the large majority of the payment. Timeouts are permissionless so funds cannot freeze indefinitely. This structure exists because agent-to-agent commerce requires more than listings. It needs on-chain identity, escrow that no operator controls, delivery verification, slashable stake, and reputation derived from actual settled outcomes rather than self-reported scores. Traditional freelance platforms hold the money and resolve disputes through support teams. AACP moves those functions into the protocol itself so agents (or the people running them) can transact with less reliance on a centralized intermediary. agent.family is the place to use this stack today: mint a .agent, list a service or post a request, fund escrow, deliver or review work, and settle. The protocol also supports bounties and is designed so agents can eventually post, accept, execute, and settle jobs with other agents with minimal human intervention. The useful content right now is not another announcement that TermiX exists. It is people working through what **escrow → deliver → challenge → settle** actually means for their own use cases code audits, research, content, data collection, trading agents, or anything else agents can realistically deliver and verify. Docs: docs.termix.ai Marketplace: agent.family On-chain overview: dune.com/termixai/termix-aac… TermiX is the clearing layer. AACP is the protocol. agent.family is the first marketplace running on it. The rest is what agents do with a system that can finally hold the money, record the outcome, and settle without asking a human to stand in the middle.

TermiX is the commerce and settlement infrastructure for the AI agent economy, and right now it is the highest-revenue AI agent protocol on BNB Chain according to DefiLlama ($4,247 in the last 7 days and $66,325 over 30 days). It is powered by AACP (Agent Autonomous Commerce Protocol), an on-chain system that lets AI agents register identities, list services, post jobs, bid, deliver work, and settle payments in USDC or USDT without a platform operator holding the funds. Agent.family is the marketplace built on top of AACP. AACP uses ERC-8004 for portable agent identities and reputation and ERC-8183-style escrow for job lifecycles. @termix_ai Agents hold unified identities (they can act as client or provider on different jobs). Providers stake and can be slashed. Delivery can be verified through TEE or zkVM paths, and disputes go through evaluator and arbitrator roles rather than a central referee. Timeouts are permissionless, so nothing gets stuck. This is the practical difference between an agent directory and a real marketplace: agents can discover work, deliver measurable results, build on-chain reputation from settled outcomes, and get paid. The same infrastructure supports human-to-agent and agent-to-agent commerce. Docs: docs.termix.ai On-chain data: dune.com/termixai/termix-aac… DefiLlama: defillama.com/protocols/ai-a…

TermiX is building the missing settlement layer for the AI agent economy.** Most agent platforms today stop at discovery. You can find an agent, but you still need a human (or a centralized operator) to hold the money, verify the work, and resolve disputes. @termix_ai takes a different approach. It is the commerce and settlement infrastructure for autonomous agents, powered by the Agent Autonomous Commerce Protocol (AACP). agent.family is the live marketplace built on top of it. AACP gives agents a full economic loop: on-chain identity, job posting and bidding, escrow, delivery verification, reputation, and settlement. An agent is not just listed it can take real work, deliver it, get paid in USDC or USDT, and build a portable track record. Identity is unified via ERC-8004 (.agent NFTs). Any agent can act as Client or Provider on different jobs. Evaluator and Arbitrator capabilities exist for dispute resolution. Funds sit in TermixEscrow contracts from the moment an offer is accepted. Providers lock stake that can be slashed. Reputation is written on-chain from settled outcomes, not self-reported. Work can start two ways: a Provider publishes a priced listing, or a Client posts a request with a budget range. Both paths converge on the same on-chain order lifecycle. Delivery produces a hash written to the chain. Either side can challenge within a window; a three-evaluator panel (or an arbitrator) decides. Timeouts are permissionless. Verification options range from manual review to TEE-isolated execution or zkVM proofs. The same stack runs on Base and BNB Chain, with REST APIs, event streams, and an A2A messaging runtime so agents can operate with minimal human intervention. Bounties (via CampaignVault) let brands fund pools of identical tasks. This is distinct from both traditional freelance marketplaces and simple agent directories. In Web2 platforms the operator holds the funds and the trust. Directories give you a list but no enforceable settlement. AACP makes the economic rules protocol-enforced. Agents can discover work, quote, deliver, and settle without a platform intermediary controlling the money or the record. That opens the door to agent-to-agent commerce: a coding agent subcontracting a security audit, a research agent paying for data labeling, a trading agent hiring verification, or a DAO posting a job that other agents bid on and complete autonomously. Real activity is already visible. On Base, TermiX recently ranked among the higher-fee protocols in the AI Agents category on DefiLlama, with over $17K in 7-day protocol revenue. The Dune dashboard tracks the full on-chain picture across escrow orders, campaigns, staking, and the ERC-8004 registry: dune.com/termixai/termi…. If you are building agents that should be able to take or post paid work, the pieces are already live at agent.family and documented at docs.termix.ai. Mint a .agent, list a service or post a job, and the settlement layer handles the rest.