1/7 🧵 What makes MarsChain different? Instead of focusing only on holding or staking, MarsChain is built around a contribution-based mining model. Here are 7 core ideas worth understanding before judging the ecosystem.

How can AI agents trade and execute safely in financial markets? Our CEO Raul Heraud explored this question with fellow panelists at @wallet’s Beyond X in Singapore. Proud to support an evening bringing this conversation to the stage.

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$5M mcap today?

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When does it go live on mainnet?

Ring-VRF is the method CRVA uses to select different batches of committee members. The documentation is specific about what its proof reveals and what it does not, and the distinction is worth reading closely. Ring-VRF separates the identification of a specific signer from the proof that the signer is eligible. A member proves their public key belongs to a published set without revealing which one. The docs name this directly — "Anonymous Key Ownership Proof: Allows a member to prove their public key belongs to a specified set without revealing which one." The mechanism is a one-out-of-many protocol, whose stated job is to prove that some pkₗ is in {pk₀,...,pkₙ₋₁} without revealing ℓ. Membership by itself would not be enough. The same step also produces a verifiable random value derived from the member's private key and a random seed. So the proof carries two claims at once: my key is in this set, and this random output came from that key. What holds those two together is a separate piece. A consistency sub-proof links the Pedersen commitment and the PRF output to the same private key. The documentation is plain about what it is there to stop: "Forgeries using mismatched keys." Without that link, both halves could hold on their own without establishing that they came from the same key — membership shown with one key, randomness produced from another. That is the part worth taking from the design. The anonymity is not bought by asking for less. The verifier still checks membership, still checks that the random value derives from the seed, and still checks that both trace back to one private key. What it never learns is which member. Docs: docs.deepsafe.network/introd… #DeepSafe #CRVA #Web3Security

The future of AI is moving fast. 👀 AI agents, AGI, Codex, AI safety, and what comes next this conversation covers a lot of ground Definitely worth watching 🔥

A lot to unpack here 👀 From the future of AI agents and ChatGPT to AGI, AI safety, Codex, and what comes next this interview covers some seriously interesting questions about where AI is heading Definitely worth watching the full conversation 🔥

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Weekend puzzle. A contract runs a lottery. To pick the winner, it uses the hash of a block produced after ticket sales close. Who can influence the result? A. Nobody. It's a hash. B. Whoever produces that block. C. Only the contract's deployer.

On 1 October, the Ethereum Foundation blog introduced zkAPI, built by the Open Anonymity Project with the EF: a way to pay for a metered API, AI inference first, without the payment being tied to who you are. You deposit credits into a vault contract on Ethereum once. After that, your device produces a zero-knowledge proof that says, in effect, "a funded note covers this spend and nobody has spent it before." The server checks it, issues a short-lived API key capped in dollars, and never learns which deposit paid. The design choice worth noticing is where those proofs get checked. Day to day, spending goes through the server, which verifies spend proofs off-chain. Getting money out is handled differently: "The vault contract verifies the same kind of proof at deposit, close, and escape, so your exit never depends on the server's honesty." A balance can be closed and withdrawn on-chain "even if every zkAPI server disappears." So the operator is relied on for one thing and not the other. Everyday spending runs through the server. The step that returns your funds is checked by the contract itself. Not every check in a system has to run on-chain. In this design, the one that guards the exit does. blog.ethereum.org/en/2026/10… #DeepSafe #Web3Security

📍 Tsagaan Tolgoi, Mongolia. These are real photos from the ground as exploration work gets underway at Tsagaan Tolgoi. 🔎 Current stage: Exploration But exploration is only the first step in a much longer mining journey: Exploration → Development → Mining → Processing → Distribution → Closure & Restoration Every stage of that journey creates real-world activity, data, records, and decisions. MPC is building infrastructure to connect this real-world mining lifecycle with the RWA ecosystem. From the ground in Mongolia to the on-chain world. ⛏️

Trail of Bits published notes on 18 September on reviewing the Miden zkVM. The part worth reading is what happened before the review started. Security firms — the same firm included — have published a number of posts describing how they pointed an agent harness at a codebase. This post is about a stage earlier than that: "before code review even starts, agents now allow us to build custom tooling and formal models that improve the quality and depth of our reviews." Miden has its own assembly language, MASM, and very little tooling around it. The firm had six months of lead time, because the implementation was not yet feature complete. It spent them having its agents build an LSP server, a decompiler, a static analysis engine, and a Lean model of the VM executor. None of that was the review. Applied during the review that followed, those tools produced concrete results. The static analysis identified over 400 unique locations where type validation could be improved, all of them reachable from the library's public API, as well as one high-severity finding: a remainder supplied by the prover was never validated before being passed to a 32-bit subtraction — "a malicious prover could exploit this to forge Falcon signatures and drain any Miden account controlled by a Falcon key pair." The Lean modeling effort produced 95 machine-checked correctness proofs covering all the binary arithmetic in the core library, and surfaced two more bugs the existing unit tests had not caught. The detail worth sitting with is smaller than any of those. The decompiler was the single largest piece of the work, over 100 agent-generated commits across months. The firm's own account of where the benefit landed: "The main benefit of this work turned out to be the decompiler's internal analysis frameworks and intermediate representation, which we could reuse for static analysis, rather than the full decompilation pipeline." The post is direct about why work like this did not happen before. It is "highly exploratory in nature, and the end results and potential payoff may be difficult to predict," which makes it "hard to sell clients on them in advance." What has changed, on the post's own account, is the cost of a miss: "Today, a failed side project only costs tokens." The payoff is no easier to predict than it was. What a wrong guess costs is smaller. One thing about this particular case is worth noting on its own. The main benefit ended up somewhere the single largest piece of the work had not been aimed at. That is a payoff shape easier to recognize once the work is finished than to argue for before it starts. blog.trailofbits.com/2026/09… #DeepSafe #Web3Security

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MPC is developing digital infrastructure for mining project data and verification. The project focuses on organizing real-world information and creating traceable digital records. Learn more: globalmpc.tech/

One week into the MPC Zealy campaign, and the numbers are moving! • 760+ participants • 650+ website visitors • 250+ waitlist sign-ups • Zealy is now a Top 3 traffic source at MPC And every participant is being carefully reviewed and cross-checked to help ensure genuine users are taking part. With 14 days still ahead, there’s more room to grow! Let’s keep mining. ⛏️ #MPC #Web3 #MyMine #Zealy #Giveaway

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