Monad said it has reached 1 billion transactions on its network, a milestone the project highlighted in an official post on X. The timeframe attached to the claim — 11 months — is part of the headline circulating with the update, but the post itself does not clearly spell out that period.

we really got 1 billion transactions on testnet before GTA 6 pic.twitter.com/bYrCHovN6i

— Monad (@monad) April 18, 2025

The figure points to activity on Monad’s testnet rather than mainnet. That distinction matters: a testnet can show developer and user engagement, but it does not by itself prove production usage or commercial adoption.

Monad has used recent public appearances and posts to emphasize network activity and developer interest around its ecosystem. Still, the transaction total should be read as a project-reported milestone, not as evidence on its own of demand, revenue or sustained onchain usage.

For readers following the chain, the main takeaway is narrow but concrete: Monad is claiming a large transaction count on its test environment, and the project is presenting it as a sign of momentum. The post does not provide additional breakdowns in the headline claim, such as the mix of user transactions, automated activity or the exact measurement method behind the total.

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Aptos said its Encrypted Mempool is now live on mainnet, giving users the option to encrypt transaction details before block ordering is finalized. The company said the feature is designed to reduce maximal extractable value, or MEV, which can include practices such as front-running and sandwich attacks.

In an official blog post, Aptos described the rollout as an opt-in feature at the transaction level. The network said the payload is encrypted on the client side, ordered while still encrypted, and only decrypted by validators after block finalization.

The company’s official account and Aptos Labs also confirmed the mainnet launch on X, with the Labs post adding that encryption happens before submission and that decryption takes place only after block ordering is complete. That sequence is intended to keep transaction contents hidden during the period when they could otherwise be observed and used for MEV extraction.

Opt-in design keeps the feature at the transaction level

Aptos framed the launch as a user choice rather than a default network setting. According to the company, Encrypted Mempool can be enabled per transaction, allowing users to decide when they want that added layer of protection.

The mainnet launch means the feature is no longer just a technical concept or test-stage mechanism. It is now part of the live Aptos network, with the practical effect depending on whether users choose to activate it for individual transactions.

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An official Exploit Summit post said @ExploitSummit that @xavi3rlu announced a partnership between pareton_ai and @engyai aimed at optimizing Engy inference latency and throughput using SN10 work.

@xavi3rlu announces a partnership between @pareton_ai and @engyai at Exploit Summit.

The goal: optimise Engy’s inference setup for lower latency and higher throughput, bringing Bittensor’s SN10 optimisation work to another provider’s customers. pic.twitter.com/id3V8uWUUy

— Exploit Summit (@ExploitSummit) September 29, 2026

The announcement frames the collaboration as a technical optimization effort rather than a broader product launch. According to the conference account, the work is intended to improve Engy’s inference performance through SN10-related optimization, with the stated goal of supporting Engy customers.

That is the clearest confirmed detail currently available: the partnership was presented publicly at the event, and the stated focus was on latency and throughput. No additional operational specifics were included in the post, such as implementation timing, deployment scope or whether the optimization is already live for users.

SN10’s role in the announcement

The mention of SN10 places Bittensor-related optimization work at the center of the update, but the announcement does not spell out technical mechanics beyond performance improvements for inference workloads. The post does not describe any token, market or governance implications, and it does not indicate whether the collaboration changes access, pricing or product availability.

For readers following AI-linked crypto projects, the update is best understood as a partnership claim around infrastructure performance. It signals that Pareto AI and Engy AI are positioning SN10 work as part of an effort to make inference more efficient, but the announcement itself stays narrow in scope.

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