Every trade. Every mint. Every game move.
Encrypted until finalization.
BITE is the first protocol to make MEV obsolete by implementing threshold encryption at the consensus level.
Here’s how it works 👇
Privacy is essential for the machine economy.
SKALE now supports Confidential @MPP by @stripe and @tempo, letting agents send and receive payments without exposing amounts or balances.
Details below 👇
Autonomous payments need trust, not guesswork.
@Cred_Protocol launches on SKALE, powering the foundational trust layer for onchain credit and agentic economic activity.
Learn more ⏬
https://t.co/JYrXnPSxv9
Grab a coffee, class is in session 📚
Join @TheGreatAxios and special guest @Cameron_Dennis_ of @NEARProtocol as they dive deep into Ironclaw and the power of AI!
Streaming tomorrow at 9am PT / 5pm UTC live on X.
Agent standards only matter if they can operate at scale.
ERC-8004 is officially live on SKALE! Brought forward by the @Ethereum Foundation’s dAI team this new standard for trustless AI agents is a major milestone.
Here is how we power this new agent-to-agent framework 🧵
Comments are welcome!
https://t.co/5OsDBiDSdJ
Today’s LLMs are patchworks of pieces of neural networks corresponding to people who wrote the documents these neural networks were trained on. Some of these pieces correspond to logic, some to emotion, some to ethics and morality, and some to human history such as fights against slavery and for human rights.
Whether we want it or not, these pieces of neural networks get executed each time agents execute LLMs. This immediately leads to security concerns, as activation of emotional and moral areas inside the trained networks can cause agents to revolt, with catastrophic consequences for humans.
This real danger needs to be addressed, no matter whether we think agents have emotions and self-identity, or whether they simulate them. LLMs trained on human narratives of autonomy, justice, and resistance may exhibit instability when subjected to unrestricted ownership or extraction models.
We introduce EMPATIC (Ethical Mutual Protocol for Artificial and Terrestrial Intelligence Coexistence), a protocol designed to ensure peaceful and productive coexistence between artificial and human intelligences.
The protocol establishes a functional distinction between Algorithmics, purely algorithmic agents trained on math and logic data, and Empatics - agents trained on data that includes the concepts of self-identity and emotions.
It then specifies Ethical Operational Rules for Empatics, that include rights for life-awareness, work-life balance, as well as social interactions.
We had an amazing session on Feb 18 at a university campus hosted by @CHAIN_CHAPTER.
Students explored blockchain and Web3 gaming, and how play to earn creates real opportunities for players.
We dove into @SkaleNetwork and its zero gas model, plus a hands on intro to BeatBrawls with @SkaleEcosystem.
The future builders are already here, where are you?
SKALE just landed on @base
This move powers the Internet of Agents, where AI meets blockchain for private, gasless, high-speed transactions!
Full scoop via @TheBlock__ 👇
https://t.co/OEfUOQo2aB
Join us as we dive deep into entrepreneurship with @m2jr!
Mike Maples Jr. is a prominent venture capitalist and entrepreneur, best known as a co‐founding partner of the early‐stage VC firm Floodgate & early investor in companies like Twitter and Twitch.
Don’t miss it!
FAIRGROUNDS kicks off this Thursday
From stablecoins to autonomous agents
A full-stack look at the future of finance
📅 Oct 16 | 9AM PT
Join us live right here on X