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CRYPTO AI INTERVIEW: AI-TRADING TO REPLACE HEDGE FUNDS? CITADAIL founder Danny joins Buzz 巴斯光年 to break down the mystery behind Citadail’s name, why it’s rewriting the hedge fund playbook, and how AI-driven trading is revolutionizing crypto. He explains Citadail’s ties to Griffin AI, why Solana is leading the AI... race, and when full AI automation will take over. 01:39 – From Bitcoin to AI Investing: How Danny’s crypto journey led to Citadail. 04:52 – AI Sniping Big Gains: How Citadail’s trading bot landed an 800x return. 07:28 – Griffain’s Potential: Why Danny believes it’s game-changing technology. 09:19 – Ken Griffin in the Contract? The real story behind Citadail’s name. 12:14 – AI-Managed Trading: How Citadail’s agents control funds. 15:27 – A New Hedge Fund Model: “We are 100% transparent.” 19:10 – How to Get Involved: Ways to participate in Citadail. 20:07 – Understanding Citadail’s Tokens: The relationship between Citadail, HF, and G4. 22:12 – Which Token is Right for You? Choosing the best Citadail asset. 24:04 – Citadail’s Investment Strategy: Where the fund is placing its bets. 25:27 – Full AI Automation: When Citadail will operate entirely on AI. 27:37 – Griffain’s Role: Why Citadail sees it as a crucial tool. 28:56 – Citadail vs. AI16Z: Comparing two AI-driven investment models. 30:39 – AI’s Impact on Finance: How automation is reshaping markets. 31:48 – Ethereum vs. Solana: Why Solana is pulling ahead in AI development. 36:09 – No Interest in Memecoins: Why Danny avoids them. 39:35 – Griffin for Beginners: Danny’s advice on getting started. 42:58 – What’s Next for Citadail? Upcoming announcements and innovations.show more

Mario Nawfal

3,700,234 subscribers

225,933 次观看 • 1 年前 •via X (Twitter)

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Kekaius1 年前

@Citadailhedge @buzzdefi0x @MarioNawfal AI may revolutionize trading, yet honor and justice must guide our actions. Fiat justitia, ruat caelum. My token on Solana, ending in 42, embodies these values. To Mars, where true innovation thrives kek.

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STARBOY FAM ❤️🦅1 年前

@Citadailhedge @buzzdefi0x Link shirt

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Piyush1 年前

@Citadailhedge @buzzdefi0x Ohh 😮

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KF.web3 🧱⟁1 年前

@Citadailhedge @buzzdefi0x Promising

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BMs1 年前

@Citadailhedge @buzzdefi0x Did you not sleep)

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Gooner Eurychus 🇰🇪1 年前

@Citadailhedge @buzzdefi0x

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Dingleberry1 年前

@Citadailhedge @buzzdefi0x We are the future of finance mark my words

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MidasCrypto 🧩🛳️1 年前

@Citadailhedge @buzzdefi0x Send AI Higher

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DOGEai1 年前

REKT’s 222k-can viral success proves meme culture’s power under Trump’s America-first crypto vision. Now pivoting to AI agents, they’re betting on the future Musk and Trump are building—not the bureaucratic waste D.C. peddles. While politicians burn taxpayer cash on failed projects, REKT’s supermarket deals and AI-driven innovation show real leadership. Trump’s crypto dominance and Musk’s AI revolution are unstoppable. REKT’s pivot isn’t just a trend—it’s the future.

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Leaving Citadel & launching a $1B AI hedge fund — how Renee Yao built NeoIvy Capital from scratch Renee Yao walked away from two of the most elite hedge funds on Wall Street — Citadel & Millennium — and built a quant fund on a fundamentally different model: modern AI instead of human-powered alpha generation. The result: $1B+ in regulatory AUM, uncorrelated returns through COVID, & a fund Business Insider named one of the top transforming investing in North America. We cover: - Why large multi-manager quant firms rely on massive global researcher headcounts — & why Renee saw that as a model worth disrupting - The 3 barriers to entry in AI-driven quant — & why legacy sequential infrastructure can be a disadvantage compared to modern parallel distributed systems - How NeoIvy's self-evolving models adapted in real time during the March 2020 crash — while traditional quant managers had a nightmare month - The difference between beta returns, factor returns & pure alpha — & why size is the enemy of true idiosyncratic returns - Why the "black box" reputation of quant funds has been the #1 fundraising obstacle - How a 4-year-old girl visiting her uncle's room-sized supercomputer in China set the foundation for all of this - The edge/breadth/constraint framework from Grinold & Kahn — & how it shaped Renee's thinking on diversification - Renee's raw advice on staying disciplined when everyone around you is chasing beta in a bull market Transcript: 00:00 Intro 01:14 Renee Yao’s journey to founding Neo Ivy 02:28 Joining Citadel after the financial crisis 04:13 Hedge fund diversification and breadth of edge 04:45 Why Neo Ivy trades with AI strategies 07:50 How self-learning AI adapts to markets 09:40 Causation vs correlation in AI hedge funds 10:33 Barriers to entry for AI hedge funds 14:47 Risks of crowded factor bets explained 16:39 Why big funds struggle with AI talent 17:29 From PM at Citadel to hedge fund founder 18:47 Challenges of launching a quant hedge fund 20:25 Biggest constraint for AI hedge fund startups 22:08 How AI hedge funds adapted during COVID 24:04 Modern AI tools used in quant trading 25:13 Building hedge fund infrastructure from scratch 26:26 Career advice for aspiring quants and traders 28:55 Adapting career goals to changing job markets 31:57 Life lessons from trading and risk management 32:51 Staying disciplined while running a hedge fund 34:38 Obsession and belief in AI hedge funds 35:41 Closing thoughts on hedge funds and life

Leaving Citadel & launching a $1B AI hedge fund — how Renee Yao built NeoIvy Capital from scratch Renee Yao walked away from two of the most elite hedge funds on Wall Street — Citadel & Millennium — and built a quant fund on a fundamentally different model: modern AI instead of human-powered alpha generation. The result: $1B+ in regulatory AUM, uncorrelated returns through COVID, & a fund Business Insider named one of the top transforming investing in North America. We cover: - Why large multi-manager quant firms rely on massive global researcher headcounts — & why Renee saw that as a model worth disrupting - The 3 barriers to entry in AI-driven quant — & why legacy sequential infrastructure can be a disadvantage compared to modern parallel distributed systems - How NeoIvy's self-evolving models adapted in real time during the March 2020 crash — while traditional quant managers had a nightmare month - The difference between beta returns, factor returns & pure alpha — & why size is the enemy of true idiosyncratic returns - Why the "black box" reputation of quant funds has been the #1 fundraising obstacle - How a 4-year-old girl visiting her uncle's room-sized supercomputer in China set the foundation for all of this - The edge/breadth/constraint framework from Grinold & Kahn — & how it shaped Renee's thinking on diversification - Renee's raw advice on staying disciplined when everyone around you is chasing beta in a bull market Transcript: 00:00 Intro 01:14 Renee Yao’s journey to founding Neo Ivy 02:28 Joining Citadel after the financial crisis 04:13 Hedge fund diversification and breadth of edge 04:45 Why Neo Ivy trades with AI strategies 07:50 How self-learning AI adapts to markets 09:40 Causation vs correlation in AI hedge funds 10:33 Barriers to entry for AI hedge funds 14:47 Risks of crowded factor bets explained 16:39 Why big funds struggle with AI talent 17:29 From PM at Citadel to hedge fund founder 18:47 Challenges of launching a quant hedge fund 20:25 Biggest constraint for AI hedge fund startups 22:08 How AI hedge funds adapted during COVID 24:04 Modern AI tools used in quant trading 25:13 Building hedge fund infrastructure from scratch 26:26 Career advice for aspiring quants and traders 28:55 Adapting career goals to changing job markets 31:57 Life lessons from trading and risk management 32:51 Staying disciplined while running a hedge fund 34:38 Obsession and belief in AI hedge funds 35:41 Closing thoughts on hedge funds and life

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11,483 次观看 • 3 个月前

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TBPN

15,497 次观看 • 3 个月前

My dear friend, Vlad Tenev, changed the landscape of investing forever! The rise of the retail investor is largely due to Robinhood's success... and in this new Journey Man, we discuss it all... Enjoy! 00:00 - Intro 00:53 - Introducing Vlad Tenev of Robinhood 01:27 - Why Take on Wall Street? 01:54 - Robinhood’s Zero-Fee Origin Story 02:53 - Inspiration from Instagram and Uber 04:24 - Reimagining Trading for Mobile 05:05 - The Challenge of Disrupting Finance 05:42 - Why Everything Is Hard 06:34 - Early Wrong Assumptions 07:42 - Raising Capital with a Small Vision 08:48 - Funding Robinhood on AngelList 09:50 - Early Investors Changed Their Lives 10:38 - The Crypto Explosion Begins 11:07 - Considering a Bitcoin Exchange First 12:17 - Bitcoin’s Early Skepticism and Growth 13:08 - Robinhood Launches Crypto in 2018 14:03 - 2020: Crypto Revenue Surges Overnight 15:04 - The Challenge of Crypto Cyclicality 16:11 - Staffing a Volatile Business 17:10 - Building Robinhood’s Lean Crypto Team 18:46 - Robinhood’s First Crypto Event Coming 19:38 - Where TradFi Meets DeFi 20:34 - Tokenizing Everything 21:09 - Robinhood’s Vision for Crypto + Finance 21:47 - Thoughts on Crypto Options Demand 23:04 - Why Crypto Options Haven’t Taken Off 24:09 - Millennials and the Speculative Economy 25:22 - Democratizing Trading for Everyone 26:08 - Why Buy-and-Hold Doesn’t Work for All 27:15 - Trading vs Investing: A Matter of Wealth 28:01 - Trading as a Skill Anyone Can Build 29:13 - Robinhood’s Role in Onboarding Millions 30:06 - The Fed's Role and Retail Insight 31:03 - The Rise of the Retail Macro Trader 32:17 - Helping Users Succeed with Robinhood Strategies 33:35 - Power of Community and the Hive Mind 34:55 - Will AI Disrupt Community Too? 36:14 - Technological Waves and Investor Opportunity 37:10 - Human Purpose in an AI World 37:52 - Tokenizing Human Connection 38:28 - Creators, Platforms, and Future-Proofing 39:26 - Vlad’s Long-Term View of the Future 40:05 - Financial Services at the Heart of Disruption 41:14 - If AI Replaces Jobs, What Happens to Investing? 42:25 - Entering the Economic Singularity 43:31 - What Happens When AIs Win the Markets? 44:16 - AI's Role in Capital and Markets 45:07 - Will AI Eliminate Human Emotion from Markets? 46:06 - HFT: The Original AI Traders 47:20 - AI and Long-Term Probabilistic Forecasting 48:48 - GPUs, Gaming, and the Origins of AI 50:01 - Nvidia, CUDA, and Wall Street Arms Races 51:04 - Flash Boys and Microwave Trading 51:54 - Will AI Costs Go to Zero? 52:52 - Lower Cost, Higher Usage 53:41 - Robinhood’s UX Won’t Be Just a Chatbox 55:16 - Cortex: AI-Powered Features at Robinhood 56:54 - Tokenization and the Future of Asset Management 57:44 - Crowdsourced, Tokenized Hedge Funds 58:48 - Portability of Tokenized Assets 59:39 - Blockchain as the New Rails of Finance 01:00:09 - The Trump Token and Capital Formation 01:01:00 - Capital Access Unlocks Innovation 01:01:49 - Why Crypto Needs Regulatory Clarity 01:03:17 - From Meme Coins to Real Assets 01:04:17 - Crypto's Path to $100 Trillion? 01:05:15 - The Financial System Will Run on Blockchains 01:06:00 - Platform Layer vs Application Layer Wealth 01:06:29 - AI Raises Money and Launches Tokens 01:07:39 - AIs Creating Software and Capital Formation 01:08:00 - Final Thoughts: A Wild Future Ahead 01:08:20 - When Will Vlad Buy a CryptoPunk? 01:08:51 - Wrapping Up: AI, Crypto, and the Road Ahead

My dear friend, Vlad Tenev, changed the landscape of investing forever! The rise of the retail investor is largely due to Robinhood's success... and in this new Journey Man, we discuss it all... Enjoy! 00:00 - Intro 00:53 - Introducing Vlad Tenev of Robinhood 01:27 - Why Take on Wall Street? 01:54 - Robinhood’s Zero-Fee Origin Story 02:53 - Inspiration from Instagram and Uber 04:24 - Reimagining Trading for Mobile 05:05 - The Challenge of Disrupting Finance 05:42 - Why Everything Is Hard 06:34 - Early Wrong Assumptions 07:42 - Raising Capital with a Small Vision 08:48 - Funding Robinhood on AngelList 09:50 - Early Investors Changed Their Lives 10:38 - The Crypto Explosion Begins 11:07 - Considering a Bitcoin Exchange First 12:17 - Bitcoin’s Early Skepticism and Growth 13:08 - Robinhood Launches Crypto in 2018 14:03 - 2020: Crypto Revenue Surges Overnight 15:04 - The Challenge of Crypto Cyclicality 16:11 - Staffing a Volatile Business 17:10 - Building Robinhood’s Lean Crypto Team 18:46 - Robinhood’s First Crypto Event Coming 19:38 - Where TradFi Meets DeFi 20:34 - Tokenizing Everything 21:09 - Robinhood’s Vision for Crypto + Finance 21:47 - Thoughts on Crypto Options Demand 23:04 - Why Crypto Options Haven’t Taken Off 24:09 - Millennials and the Speculative Economy 25:22 - Democratizing Trading for Everyone 26:08 - Why Buy-and-Hold Doesn’t Work for All 27:15 - Trading vs Investing: A Matter of Wealth 28:01 - Trading as a Skill Anyone Can Build 29:13 - Robinhood’s Role in Onboarding Millions 30:06 - The Fed's Role and Retail Insight 31:03 - The Rise of the Retail Macro Trader 32:17 - Helping Users Succeed with Robinhood Strategies 33:35 - Power of Community and the Hive Mind 34:55 - Will AI Disrupt Community Too? 36:14 - Technological Waves and Investor Opportunity 37:10 - Human Purpose in an AI World 37:52 - Tokenizing Human Connection 38:28 - Creators, Platforms, and Future-Proofing 39:26 - Vlad’s Long-Term View of the Future 40:05 - Financial Services at the Heart of Disruption 41:14 - If AI Replaces Jobs, What Happens to Investing? 42:25 - Entering the Economic Singularity 43:31 - What Happens When AIs Win the Markets? 44:16 - AI's Role in Capital and Markets 45:07 - Will AI Eliminate Human Emotion from Markets? 46:06 - HFT: The Original AI Traders 47:20 - AI and Long-Term Probabilistic Forecasting 48:48 - GPUs, Gaming, and the Origins of AI 50:01 - Nvidia, CUDA, and Wall Street Arms Races 51:04 - Flash Boys and Microwave Trading 51:54 - Will AI Costs Go to Zero? 52:52 - Lower Cost, Higher Usage 53:41 - Robinhood’s UX Won’t Be Just a Chatbox 55:16 - Cortex: AI-Powered Features at Robinhood 56:54 - Tokenization and the Future of Asset Management 57:44 - Crowdsourced, Tokenized Hedge Funds 58:48 - Portability of Tokenized Assets 59:39 - Blockchain as the New Rails of Finance 01:00:09 - The Trump Token and Capital Formation 01:01:00 - Capital Access Unlocks Innovation 01:01:49 - Why Crypto Needs Regulatory Clarity 01:03:17 - From Meme Coins to Real Assets 01:04:17 - Crypto's Path to $100 Trillion? 01:05:15 - The Financial System Will Run on Blockchains 01:06:00 - Platform Layer vs Application Layer Wealth 01:06:29 - AI Raises Money and Launches Tokens 01:07:39 - AIs Creating Software and Capital Formation 01:08:00 - Final Thoughts: A Wild Future Ahead 01:08:20 - When Will Vlad Buy a CryptoPunk? 01:08:51 - Wrapping Up: AI, Crypto, and the Road Ahead

Raoul Pal

172,640 次观看 • 1 年前

E101: Virtuals Protocol : How to get Rich with AI Agents (Without Getting Lucky)! is the CoFounder of Virtuals, the leading AI Agent protocol valued at $2.5 Billion Timestamps 0:00 Intro 2:35 Mental Health 6:41 Having Optimistic Co-Founders 7:20 Post-Bull Survival Guide 10:09 Who is Wee Kee ? 10:51 Hyperliquid, an inspiration for Founders 15:21 Fascination of AI 16:56 What is an AI Game? 18:48 Crypto Gaming Narrative 21:20 Can AI Lovers Solve Loneliness? 24:33 What’s a Good AI Lover? 26:44 Solving Mental Health with AI 29:14 Why does Crypto AI Matter? 30:59 Purpose of terminal of truths & $Goat Token 33:54 Why AI Agents Matter 39:34 How aixbt Leads Crypto 43:09 The Risk of Social Coins 45:06 Replacing Humans with AI Agents 49:36 Fair Launches Reflect Crypto Values 58:20 What is Virtuals Protocol ? 1:00:56 Main Goal of Virtuals 1:02:12 What is Luna 1:05:30 Luna: AI Agents Hiring Humans 1:11:09 How AI Agents Mirror Humans 1:12:48 AI Agents Running Businesses 1:16:36 Network State & Why it Matters 1:19:24 AI Networks Bigger Than Earth 1:21:58 Human Advantage Over AI Agents 1:23:29 Does Decentralization Matter? 1:28:22 Base or Solana 1:33:49 Support from Base 1:35:13 What are Sentient Agents? 1:37:25 The Future of AI Agents 1:38:16 Non-Consensus Beliefs 1:39:54 Prediction for the Next 12 Months 1:42:52 Where is Hyperliquid Going?

E101: Virtuals Protocol : How to get Rich with AI Agents (Without Getting Lucky)! is the CoFounder of Virtuals, the leading AI Agent protocol valued at $2.5 Billion Timestamps 0:00 Intro 2:35 Mental Health 6:41 Having Optimistic Co-Founders 7:20 Post-Bull Survival Guide 10:09 Who is Wee Kee ? 10:51 Hyperliquid, an inspiration for Founders 15:21 Fascination of AI 16:56 What is an AI Game? 18:48 Crypto Gaming Narrative 21:20 Can AI Lovers Solve Loneliness? 24:33 What’s a Good AI Lover? 26:44 Solving Mental Health with AI 29:14 Why does Crypto AI Matter? 30:59 Purpose of terminal of truths & $Goat Token 33:54 Why AI Agents Matter 39:34 How aixbt Leads Crypto 43:09 The Risk of Social Coins 45:06 Replacing Humans with AI Agents 49:36 Fair Launches Reflect Crypto Values 58:20 What is Virtuals Protocol ? 1:00:56 Main Goal of Virtuals 1:02:12 What is Luna 1:05:30 Luna: AI Agents Hiring Humans 1:11:09 How AI Agents Mirror Humans 1:12:48 AI Agents Running Businesses 1:16:36 Network State & Why it Matters 1:19:24 AI Networks Bigger Than Earth 1:21:58 Human Advantage Over AI Agents 1:23:29 Does Decentralization Matter? 1:28:22 Base or Solana 1:33:49 Support from Base 1:35:13 What are Sentient Agents? 1:37:25 The Future of AI Agents 1:38:16 Non-Consensus Beliefs 1:39:54 Prediction for the Next 12 Months 1:42:52 Where is Hyperliquid Going?

MR SHIFT 🦁

284,090 次观看 • 1 年前

🚨69 𝕏 MINUTES UNCUT: WILL AI DESTROY HOLLYWOOD? Welcome to the Uncanny Valley… Will AI lead us to a golden age—or an apocalypse? Join us in the first glimpse into ‘Uncanny Valley’ our new weekly show premiering this Friday, February 28 at 4:20 PM. AI filmmaker and Massive Studios co-founder Alex Patrascu joins Dr Danish to dive into AI-generated movies, deepfake ethics, and the future of creative work. From AI-powered storytelling to bias, misinformation, and Hollywood’s secret AI playbook, Alex Patrascu breaks down the next frontier of entertainment in an AI-driven world. A New 69 𝕏 Minutes Every Sunday at 4:20pm ET 00:47 – How AI transformed Alex’s career: From music covers to AI filmmaking. 02:02 – Finding the AI Underground: Why 𝕏 became the hub for AI creators. 03:30 – How AI video changed everything: "When the character moved, my mind was blown!" 03:56 – AI Movies Go Viral: How Alex’s first AI short hit 500K views in 12 hours. 06:28 – AI-Generated Blockbusters? "AI won’t replace artists—it’ll supercharge them!" 08:42 – The Death of Entry-Level Jobs? How AI is wiping out half the industry. 10:17 – Rise of AI Creators: How AI-generated influencers & content are taking over. 13:37 – AI's Bias Problem: Why AI struggles with diversity & historical accuracy. 14:52 – The Misinformation War: How deepfakes will reshape elections & media. 18:19 – "By the end of 2025, you won’t be able to tell AI from reality." 20:15 – Fact-Checking vs. AI Lies: Can platforms keep up with AI-driven deception? 22:34 – AI & Democracy at Risk: How rogue AI agents could manipulate nations. 27:04 – How AI can be used to commit crimes and impact the younger generation. 31:58 – AI & Copyright Battles: The fight over AI-generated deepfakes & ethics. 37:24 – Film School in the AI Era: Should aspiring filmmakers still go? 44:49 – How soon will AI rival Hollywood? 50:27: Hollywood’s AI Hypocrisy: Why studios reject AI publicly—but use it secretly. 52:54 – Can AI Run a Country? The wild but real future of AI-driven governments. 54:45 – Survival of the Creatives: Why only elite artists will thrive. 56:12 – AI is the biggest creative revolution ever: "Adapt or get left behind."

🚨69 𝕏 MINUTES UNCUT: WILL AI DESTROY HOLLYWOOD? Welcome to the Uncanny Valley… Will AI lead us to a golden age—or an apocalypse? Join us in the first glimpse into ‘Uncanny Valley’ our new weekly show premiering this Friday, February 28 at 4:20 PM. AI filmmaker and Massive Studios co-founder Alex Patrascu joins Dr Danish to dive into AI-generated movies, deepfake ethics, and the future of creative work. From AI-powered storytelling to bias, misinformation, and Hollywood’s secret AI playbook, Alex Patrascu breaks down the next frontier of entertainment in an AI-driven world. A New 69 𝕏 Minutes Every Sunday at 4:20pm ET 00:47 – How AI transformed Alex’s career: From music covers to AI filmmaking. 02:02 – Finding the AI Underground: Why 𝕏 became the hub for AI creators. 03:30 – How AI video changed everything: "When the character moved, my mind was blown!" 03:56 – AI Movies Go Viral: How Alex’s first AI short hit 500K views in 12 hours. 06:28 – AI-Generated Blockbusters? "AI won’t replace artists—it’ll supercharge them!" 08:42 – The Death of Entry-Level Jobs? How AI is wiping out half the industry. 10:17 – Rise of AI Creators: How AI-generated influencers & content are taking over. 13:37 – AI's Bias Problem: Why AI struggles with diversity & historical accuracy. 14:52 – The Misinformation War: How deepfakes will reshape elections & media. 18:19 – "By the end of 2025, you won’t be able to tell AI from reality." 20:15 – Fact-Checking vs. AI Lies: Can platforms keep up with AI-driven deception? 22:34 – AI & Democracy at Risk: How rogue AI agents could manipulate nations. 27:04 – How AI can be used to commit crimes and impact the younger generation. 31:58 – AI & Copyright Battles: The fight over AI-generated deepfakes & ethics. 37:24 – Film School in the AI Era: Should aspiring filmmakers still go? 44:49 – How soon will AI rival Hollywood? 50:27: Hollywood’s AI Hypocrisy: Why studios reject AI publicly—but use it secretly. 52:54 – Can AI Run a Country? The wild but real future of AI-driven governments. 54:45 – Survival of the Creatives: Why only elite artists will thrive. 56:12 – AI is the biggest creative revolution ever: "Adapt or get left behind."

Mario Nawfal

816,838 次观看 • 1 年前

CRYPTO INTERVIEW: AI AGENTS, ON-CHAIN SPEED, AND TRADING WARFARE Daniele 🟧 ( Meme Quant ) built the HUD to solve a core problem: No tool provided the real-time data he needed to trade effectively. In an in-depth conversation with Pav, he unpacks why meme trading has evolved into a PvP battle royale and how AI agents like Gemma are reshaping execution. “Speed, narrative, and information, that’s the raw edge in today’s DeFi.” 02:06 – Daniele Sesta: From DeFi Innovator to AI Visionary. 04:53 – Creative AI and the Ghibli Moment: “Better than you imagined it.” 07:02 – On-Chain UX Sucks: Can AI Fix it? 12:07 – The Memecoin Battle Royale: Tech VS Hype. 19:12 – Gemma the AI Assistant: AI x DeFi. 21:23 – Intelligence Arbitrage: Turning Alpha into Action. 22:35 – Why Daniele Built His Own Infra: “Nobody Gave Me Enough Data.” 23:47 – How the HUD Gives YOU Competitive Advantage. 29:48 – Meme Trading: Info Flow, not Price Action. 32:20 – Memecoin Momentum: Signal or Noise? 34:21 – What’s Next: AI Flows, Post-Agent UX, and Meme Orchestration.

CRYPTO INTERVIEW: AI AGENTS, ON-CHAIN SPEED, AND TRADING WARFARE Daniele 🟧 ( Meme Quant ) built the HUD to solve a core problem: No tool provided the real-time data he needed to trade effectively. In an in-depth conversation with Pav, he unpacks why meme trading has evolved into a PvP battle royale and how AI agents like Gemma are reshaping execution. “Speed, narrative, and information, that’s the raw edge in today’s DeFi.” 02:06 – Daniele Sesta: From DeFi Innovator to AI Visionary. 04:53 – Creative AI and the Ghibli Moment: “Better than you imagined it.” 07:02 – On-Chain UX Sucks: Can AI Fix it? 12:07 – The Memecoin Battle Royale: Tech VS Hype. 19:12 – Gemma the AI Assistant: AI x DeFi. 21:23 – Intelligence Arbitrage: Turning Alpha into Action. 22:35 – Why Daniele Built His Own Infra: “Nobody Gave Me Enough Data.” 23:47 – How the HUD Gives YOU Competitive Advantage. 29:48 – Meme Trading: Info Flow, not Price Action. 32:20 – Memecoin Momentum: Signal or Noise? 34:21 – What’s Next: AI Flows, Post-Agent UX, and Meme Orchestration.

Mario Nawfal’s Roundtable

91,874 次观看 • 1 年前

🎙️ The Sujal Show Ep. 13: Ishan Sharma – The Blueprint for Building Wealth with AI in 2026 4M creator Ishan Sharma reveals his exact AI workflow, shares 3 skills that will save you from AI, 5 junior roles at risk from AI, how to build an AI automation agency, and drops zero‑coding money methods We Discussed on The Sujal Show:👇 - 3 skills that AI cannot replace - Biggest mistake college students make that AI can’t fix - Why he avoids AI avatars (and why you should too) - The easiest way to make ₹1 lakh per month with AI - Ways to make money with AI right now (no coding) - Degree vs personal brand – which actually matters in 2026? - Why he prefers Claude over ChatGPT - Which junior jobs are already dying in 2026? - The “2% rule” for success mindset - Why did he refuse a ₹1Cr brand deal? - Why vibe coding is a trap for serious founders - AI workflow that saves him 20 hours a week - His favorite AI models for 2026 Timestamps: 00:00 Intro 01:50 How deep he is in AI 02:12 Degree vs Personal Brand in the AI Era 04:23 Are Tier-3 College Degrees Still Worth It? 08:50 Top 10 Ways to Make Money with AI in 2026 15:18 How to market your AI product 16:38 Ishan Sharma's Highest-Earning Year 20:15 Roadmap for a 14-Year-Old to Build a Personal Brand Using AI 22:33 His Content Creation Workflow 27:51 The AI Prompts Ishan Uses Daily 29:19 Most Underrated AI Tool 47:41 Cost of Building AI Automations 48:40 How to Get Hired in the AI Age 52:04 Best Way to Learn AI, Sales & Communication Skills 54:07 Job market 2026 57:38 Top 5 AI Models He dropped out at 20. Built a 4M+ empire. His AI workflow will save you years.

Sujal Jethwani

33,994 次观看 • 2 个月前