richard-barbara (richard-barbara)

@richard-barbara LayerZero announced their new chain Zero yesterday. The first multi-core decentralized world computer. Each core is capable of 2 million TPS and the blockchain scales horizontally to near infinity. It aims to more scalable than Solana and just as decentralized as Ethereum while staying permissionless and censorship resistant. Really impressive technical breakthroughs (including Jolt which is an open source RISC-V zkVM that was developed by a16z's research team). The Zero architecture goes away from the traditional model where every validator downloads, processes, and verifies every transaction. Instead, Zero uses ZK proofs to break that model. Block Producers handle the heavy lifting: executing transactions, building blocks, and generating proofs. Block Validators just verify the proofs, making it cheap enough to run on consumer hardware. Zero is targeting TPS and block validators will be able to run on simple hardware like a raspberry pi so it should be as decentralized as Ethereum.

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@richard-barbara the Urbe Hub is now an official Ethereum Community Hub 🇮🇹 now fficially recognized by the @ethereumfndn in collaboration with the Ethereum Everywhere team, as a permanent reference point for the Ethereum ecosystem in Rome on Feb 15, we’ll celebrate this milestone together with 1 year of Urbe Hub, which opened thanks to the support of the Akasha Foundation and has grown into a shared home for builders, developers, and communities

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@richard-barbara Increasingly convinced that how hard you can work is a narrow range function of personality on all but the dumbest deterministic tasks. For anything even moderately complex the only way to radically increase return is to radically increase risk. If you’re living paycheck to paycheck and your rent goes up 10% you can work 10% harder but if rent doubled you have to take the risk of working differently not harder. Intelligence doesn’t help much because most people are already operating at the limit of their intelligence so effort-return equation already includes that.

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@richard-barbara We hear a lot about data centers, their cooling systems, and how much water it takes to keep servers from overheating. Until finding this chart, however, I hadn't seen anything that spelled out how different data centers choose different cooling technologies. Data centers that specialize in AI software, for example, are using a dramatically different mix than hyperscalers.

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