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Most PoW systems waste resources. Everyone competes to solve the same puzzle, only one wins. Proof of Useful Work splits block-building so all contribute to real throughput. 👇Watch the full podcast:

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Psy Protocol

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10,775 görüntüleme • 4 ay önce •via X (Twitter)

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Who still believes in Proof of Work? ✋ At the Skyline PoW Mixer, our founder Carter (Carter Feldman) explained its importance and revival. Proof of Work embodies freedom, not just block mining. Anyone can participate without permission, gatekeepers, or censorship. Psy Protocol advances this with PoW 2.0: Proof of Useful Work. Instead of wasting energy, computation is purposeful. ZK math verifies everything. Miners earn for contributing to real, measurable work that strengthens the network. It’s open-source, censorship-resistant, and built for the next internet. The future belongs to builders, users and decentralization believers. The king is coming home.
1:47

Who still believes in Proof of Work? ✋ At the Skyline PoW Mixer, our founder Carter (Carter Feldman) explained its importance and revival. Proof of Work embodies freedom, not just block mining. Anyone can participate without permission, gatekeepers, or censorship. Psy Protocol advances this with PoW 2.0: Proof of Useful Work. Instead of wasting energy, computation is purposeful. ZK math verifies everything. Miners earn for contributing to real, measurable work that strengthens the network. It’s open-source, censorship-resistant, and built for the next internet. The future belongs to builders, users and decentralization believers. The king is coming home.

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Alephium: A Scalable, Secure Proof-of-Work Blockchain Alephium is a next-generation layer-1 blockchain built to solve one of the biggest challenges in crypto — the blockchain trilemma: achieving scalability, security, and decentralization without compromise. While most modern blockchains sacrifice one pillar to optimize for another, Alephium takes a different approach. It introduces an innovative architecture that combines sharding, a stateful UTXO model, and a uniquely efficient version of Proof-of-Work (PoW). The result? A scalable, energy-conscious, and fully decentralized network capable of supporting high-throughput applications — all while staying true to the trustless principles that powered the original Bitcoin vision. #alephium
3:58

Alephium: A Scalable, Secure Proof-of-Work Blockchain Alephium is a next-generation layer-1 blockchain built to solve one of the biggest challenges in crypto — the blockchain trilemma: achieving scalability, security, and decentralization without compromise. While most modern blockchains sacrifice one pillar to optimize for another, Alephium takes a different approach. It introduces an innovative architecture that combines sharding, a stateful UTXO model, and a uniquely efficient version of Proof-of-Work (PoW). The result? A scalable, energy-conscious, and fully decentralized network capable of supporting high-throughput applications — all while staying true to the trustless principles that powered the original Bitcoin vision. #alephium

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Most blockchains ask validators to see everything. ELVES changes that. The research team at Web3 Foundation built ELVES so that a random subset of validators can verify each block, rather than the full set, unless needed. Each validator does less work, but the network as a whole does more. Smaller validation surface. More throughput per set. Same security. Higher throughput. The result is a system that scales without asking every validator to carry the full load.
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Most blockchains ask validators to see everything. ELVES changes that. The research team at Web3 Foundation built ELVES so that a random subset of validators can verify each block, rather than the full set, unless needed. Each validator does less work, but the network as a whole does more. Smaller validation surface. More throughput per set. Same security. Higher throughput. The result is a system that scales without asking every validator to carry the full load.

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Tiff In Tech (600K+ on YouTube) just dropped a new video: Robots Are ‘Doomed to Succeed’ and That’s a Problem. Excited to see OpenMind featured in the conversation, highlighting the missing gaps in physical AI we solve: - Robot understanding of human intent - Building real social intelligence in robots - Operating systems that work across all robot manufacturers and form-factors Check out the full video below👇
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Tiff In Tech (600K+ on YouTube) just dropped a new video: Robots Are ‘Doomed to Succeed’ and That’s a Problem. Excited to see OpenMind featured in the conversation, highlighting the missing gaps in physical AI we solve: - Robot understanding of human intent - Building real social intelligence in robots - Operating systems that work across all robot manufacturers and form-factors Check out the full video below👇

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Ready for battle 🥷 ☄️☄ This sequence was a real puzzle to solve because we had to communicate so many details of the game so quickly; how the aces summon their units, the colour of the teleportation…
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Ready for battle 🥷 ☄️☄ This sequence was a real puzzle to solve because we had to communicate so many details of the game so quickly; how the aces summon their units, the colour of the teleportation…

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Proof-of-Entropy-Minima (PoEM) addresses the inefficient calculation of "work" in Proof-of-Work by accurately measuring block weight and recognizing the geometric nature of dependent events. Listen to Quai co-founder Dr K.quai⚡💵's explanation👇
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Proof-of-Entropy-Minima (PoEM) addresses the inefficient calculation of "work" in Proof-of-Work by accurately measuring block weight and recognizing the geometric nature of dependent events. Listen to Quai co-founder Dr K.quai⚡💵's explanation👇

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Elon Musk: The only way to solve full self-driving properly is to solve real-world AI. ”What are the road networks designed to work with? They're designed to work with a biological neural net, our brains, and with vision, our eyes. And so, in order to make it work with computers, you basically need to solve real-world AI and vision. We need cameras and silicon neural nets in order to have self-driving work for a system that was designed for eyes and biological neural nets. I guess when you put it that way, it's quite obvious that the only way to solve full self-driving is to solve real-world AI and sophisticated vision.” TED Interview, April 14, 2022
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Elon Musk: The only way to solve full self-driving properly is to solve real-world AI. ”What are the road networks designed to work with? They're designed to work with a biological neural net, our brains, and with vision, our eyes. And so, in order to make it work with computers, you basically need to solve real-world AI and vision. We need cameras and silicon neural nets in order to have self-driving work for a system that was designed for eyes and biological neural nets. I guess when you put it that way, it's quite obvious that the only way to solve full self-driving is to solve real-world AI and sophisticated vision.” TED Interview, April 14, 2022

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Everyone wants to be HexClad… until it’s time to perform. I put the real thing head-to-head against the hybrids flooding the market — same heat, same food, same test. Only one held up.
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Everyone wants to be HexClad… until it’s time to perform. I put the real thing head-to-head against the hybrids flooding the market — same heat, same food, same test. Only one held up.

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Elon Musk: “In order to solve full self-driving properly, you have to solve real-world AI. The road networks are designed to work with a biological neural net — our brains — and with vision — our eyes. So, in order to make it work with computers, you need to solve real-world AI and vision. We need cameras and silicon neural nets for self-driving to work in a system designed for eyes and biological neural nets. When you put it that way, it’s quite obvious that the only way to solve full self-driving is to solve real-world AI and sophisticated vision.”
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Elon Musk: “In order to solve full self-driving properly, you have to solve real-world AI. The road networks are designed to work with a biological neural net — our brains — and with vision — our eyes. So, in order to make it work with computers, you need to solve real-world AI and vision. We need cameras and silicon neural nets for self-driving to work in a system designed for eyes and biological neural nets. When you put it that way, it’s quite obvious that the only way to solve full self-driving is to solve real-world AI and sophisticated vision.”

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The filibuster doesn’t work anymore. It’s abused by Democrats to BLOCK legislation that the American people want and DESERVE. It’s time to get rid of it so we can get REAL work done for Americans. WATCH ⬇️

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Proof of human in an AI world is one of the world's most urgent issues... so on today's JourneyMan, I sit down with Tiago Sada from to discover what this is all about. As ever, I hope you enjoy and find it useful.
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"I don't want to be one of the 150 founders who just exited from the token launch." Ivan 🧳 of Nomadz 🧳 is building real revenue on Solana before touching a token. 🎙️ Full ep with NickyScanz on The Index Podcast — go watch.

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