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Embedded 200ms VRF + Binding Timelock Encryption + Browser-Verified Event Multi-Proofs = Blockchain Game That Doesn't Feel Like One Leaderboard Opens Next Week (Bots + Humans Welcome) 🏆

10,830 görüntüleme • 11 ay önce •via X (Twitter)

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Mathematician Terence Tao offers a counterintuitive take: AI doesn't look intelligent because our definition of intelligence was wrong all along. He argues that the entire history of AI has followed a predictable pattern: "The history of AI has been here's a task that only humans can do, like maybe it is read natural language or win at chess or solve a math problem, and then one by one someone finds some AI algorithm that also does that." But every time a machine cracks one of these "uniquely human" tasks, we move the goalposts. The solution never feels like real thinking: "You look at how it's done and it doesn't feel like intelligence. It's, oh, it was some trick. You just cobbled together these neural networks and you ran some algorithm, and we were looking for some elusive intelligent way of thinking, and we don't see it in the tools that actually solve our goals." Tao then flips the problem on its head. What if the issue isn't with the machines, but with us? "But maybe it's actually because intelligence is not what we think it is." He points to large language models as the clearest case. What they do sounds almost embarrassingly simple: "Large language models in particular become very successful, and a lot of what they're doing is just predicting the next token, clicking the next word in a sentence. And that doesn't sound like something which is intelligent." To show why this feels wrong, Tao draws a comparison to how we'd judge a human doing the same thing: "If you ask someone to improvise a speech and they have no preparation, and at every moment they're just saying the next word that comes to their mind, you don't think that this could actually work." And yet it works for LLMs. Which forces an uncomfortable possibility: "Maybe that's actually a lot of what humans do as well."

Big Brain AI

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Rory McIlroy came into the first FedExCup Playoff event from a long layoff. He then shot rounds of 74, 70, 72 and 72 to finish 66th. After the final round, he reacted to the week: “Obviously didn't come in here with a ton of reps, almost felt like the more the week went on, the more I felt lost with my golf swing a little bit. “I figured it out a little bit the last few holes today, I think. Yeah, I just sort of -- yeah, swing wasn't in sync and obviously didn't do a ton of practice coming in here. “I guess nice to shake the rust off a little bit, but I'm going to have to work pretty hard between now and next Thursday to feel like I have any sort of golf game to compete next week.” He then spoke about what he is going to do in preparation for the BMW Championship next week: “ I'm going to go home. I'll work with Michael and Harry. Yeah, just try to get the swing into some sort of better sync and better flow. Then, yeah, go to Bellerive Tuesday and obviously try to prepare for that golf course. “Yeah, to me it's more about obviously the execution of what I'm doing right now, and the execution wasn't there this week. As I said, I'm going to have to sort of put the head down and grind from now until Thursday to try to feel like I have any sort of chance next week.” Even after a tough week, Rory is still projected 13th on the FedExCup standings and should comfortably make it to the Tour Championship. Rory McIlroy PGA TOUR FedEx St. Jude Championship

Flushing It

350,175 görüntüleme • 6 gün önce

🚨🤖 PARTNERSHIP INTERVIEW: 51% OF THE INTERNET IS BOTS, CAN HUMANITY STILL WIN? More than half of online traffic today is not human. It is bots, and a third of them are malicious. AI is generating fake profiles, fake comments, even fake people. And if Big Tech owns your identity, one hack could erase you from the internet entirely. , founder of our portfolio company, Humanity Protocol, is building a system to change that, giving people control of their digital identities through blockchain verification. We talk about: •⁠ ⁠What happens when bots outnumber humans online •⁠ ⁠How Apple, Google, and Facebook control who we are •⁠ ⁠Why digital ID could be the most important tech of the decade •⁠ ⁠How the Mastercard partnership could redefine online identity •⁠ ⁠And why the next big war might be between real humans and fake ones Terence Kwok says the future of the internet depends on one thing. Knowing who is real and who is not. 00:00 – Over half of all web traffic is now bots 01:00 – Why identity matters in an AI-driven world 01:45 – Terence Kwok on losing trust in digital life 03:59 – When social media can’t tell what’s real 04:20 – Big Tech controls your existence 05:26 – The Humanity Protocol solution 08:02 – The “dead internet” is already here 08:45 – Bot traffic and the $100B fraud economy 10:15 – AI-generated content is replacing humans 12:00 – AI dependence erodes human skill 13:10 – Verifying truth through credentials 14:01 – What it means to be human online 15:17 – When AI agents need identities too 17:56 – Can AI resist shutdown or blackmail 19:19 – Why every AI needs a human “owner” 21:23 – Self-driving cars as potential weapons 22:09 – Infrastructure under AI control 23:30 – Artificial muscles stronger than humans 24:26 – Teaching AI values like a child 25:40 – Training on humanity’s worst data 26:44 – Does intelligence lead to compassion 26:46 – Who’s winning the AI race: U.S. or China 28:42 – China’s real-world AI advantage 29:31 – Everyday life inside China’s AI economy 31:46 – U.S. regulation vs. China’s speed 32:21 – Different strengths, different outcomes 32:50 – Bringing AI ethics back to Humanity 33:02 – Building Humanity with blockchain partners 35:21 – Mastercard and on-chain verification 36:26 – Control and monetize your own data 37:38 – Real-world utility over hype tokens 39:50 – Decentralized identity for a human-led web 39:59 – “Digital identity is the foundation of the next internet” Disclaimer: We are investors in this project and receive benefits from our involvement. This content is for promotional purposes only and is not financial or investment advice. Cryptocurrency carries significant risk, and you should always do your own due diligence before making any decision.

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192,143 görüntüleme • 9 ay önce

DROPS E27: Ben from Talus Labs: Building the Future of Decentralized AI Agents In this episode Ben breaks down why AI isn’t a bubble, how Talus is redefining on-chain agents, and why optimism is something you earn and not something you just feel. We talk about: - Why AI is not a bubble and how mega-cap tech is funding the next AI wave through massive CapEx - How Talus enables decentralized AI agents that can act and transact trustlessly - The three big crypto × AI intersections: compute, data ownership, and intelligent on-chain workflows - Why AI needs verifiable, censorship-resistant execution layers and why blockchains provide that - Nuclear energy as a prerequisite for AGI-scale compute demand - Why SWE’s object model + parallelization is perfect for autonomous agent payments and priority fees And much more! Timestamps: 0:00 Introduction 1:31 Welcome To Drops 2:10 Getting Backers Like Polychain 3:16 Building While In College 7:51 VC’s vs Founders Differences Explained 10:01 Is There An AI Bubble 11:53 How Do We Quantify The AI Opportunity In Crypto 12:33 AI Is Difficult To Invest In, Why? 13:35 Risks To Look Out For To Ensure AI Investments Deliver 16:47 Energy Being A Big Risk For AI 20:50 How You Became Fascinated By Crypto & Blockchain 22:00 Why Does AI & Blockchain Intersection Make Sense Compute Side 24:39 Why Does AI & Blockchain Intersection Make Sense for Data Ownership 26:30 Complex Workflows With Intelligent Execution Meaning 28:19 Why Do We Need This On Blockchain 30:26 How Adding This Decentralized Layer Helps With The Black Box 32:01 Explain Talus To Your Mom 33:39 Talus Solved Blockchain Determinism Limitation Explained 35:43 Two Examples That Can Be Built On The Zapier Of Web 3 39:32 Why Get Investment From SUI 42:56 What’s Needed To Get To The Next Level 43:35 One Takeaway From Conversation 43:51 One Thing Pessimistic People Are Missing

MR SHIFT 🦁

41,057 görüntüleme • 8 ay önce

🚨 NEW Episode w Michael Sutton vProgs MasterClass (MUST WATCH) Full Youtube - CC Yonatan Sompolinsky FreshAir08 In this exclusive 90-minute deep-dive, Ankit sits down with Michael Sutton, Co-Author of #KASPA #vProgs, for the most comprehensive explanation of vProgs (Verifiable Programs) to date. This isn't just another crypto interview - it's a masterclass in next-generation blockchain architecture. This is the conversation that will define how we think about blockchain scalability, liquidity fragmentation, and the future of decentralized applications. vProgs represent #Kaspa's answer to what many consider blockchain's greatest unsolved problem: the fragmentation crisis. While Ethereum's rollups trap developers and users in isolated silos (Base, Arbitrum, Optimism), vProgs create a unified, one-dimensional space where programs can synchronously compose while maintaining sovereignty. Michael Sutton breaks down complex concepts like #basedrollups, canonical ordering, #computationalDAGs, and #synchronouscomposability into understandable explanations. Whether you're a developer evaluating blockchain platforms, a researcher studying L2 solutions, or an investor trying to understand #Kaspa's technological edge, this episode provides the clarity you need. What makes vProgs revolutionary? Unlike traditional L2s that require trust assumptions and complex bridging, vProgs inherit L1 security directly, eliminate censorship risks, and create true unified liquidity through atomic composability. The experience? As Michael explains, it should feel "as if programs are on L1" despite executing off-chain with ZK proof verification. TOPICS DISCUSSED: vProgs Fundamentals - What they are and why they're called "verifiable programs" instead of smart contracts Single Sequencer Architecture - How Kaspa L1 enables synchronous composability that fragmented L2s cannot achieve. Based Rollups Superiority - Why having all roles on L1 eliminates trust assumptions and inherits full security Ethereum's Fragmentation Problem - The "failure supernova" that inspired Kaspa to design differently from day one One vs Two-Dimensional Liquidity - Why current L2s trap users in bundles and how Vprogs solve this Unified Liquidity & Asset Hubs - Creating a single liquidity space without bridges or fragmentation L1 Experience on L2 - How atomic composability makes off-chain execution feel native• Multiple VM Support - Supporting different virtual machines (Solana-style, EVM-adapted) as templates Validity Proofs vs Zero-Knowledge - Clarifying the cryptographic architecture behind vProgs Sovereignty + Composability - Balancing program independence with seamless communication ComputationalDAG - The breakthrough that made the entire vision click into place -------------------- This video is for educational purposes only and not financial advice. Always conduct your own research before engaging with blockchain projects or investments. #vProgs #kaspa #kaspa #kaspacurrency #kaspaupdates #kaspaecosystem #kaspanews

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77,238 görüntüleme • 9 ay önce