E190: @RaoulGMI: The Crypto and AI Supercycle and It Doesn’t Stop till 2030 0:00 - Intro 03:31 - The BANANA ZONE that never happened 04:07 - How To Allocate Better In Crypto 04:52 - How Compounding Actually Works 09:25 - Early vs Wrong: How To Tell 12:54 - The Belief Raoul Totally Reversed 15:46 - What Liquidity Charts Say About Crypto 19:01 - Sponsor: @variational_io , @Bitwise 20:08 - The Biggest Thing Markets Are Mispricing Today 22:12 - The Belief Raoul Wishes Was Wrong 29:46 - How Long Does This Bull Run Last? 34:23 - The Next Obvious Crypto Narrative 36:50 - Is Bitcoin Still Primarily Money? 38:08 - Infrastructure vs Narrative: What Separates Them 39:16 - What Crypto Networks are at a Tipping Point? 40:19 - Are We Underestimating AI's Speed? 44:14 - If AI Makes Everything Abundant, What's Scarce? 50:53 - Sponsor: @KASTxyz 51:41 - Will Crypto Ever Be Exciting Again? 59:49 - Is Success Being Smart Or Pain Tolerance? 1:03:27 - KR1: A Raoul Crypto Bet That didn't work 1:06:36 - Has Raoul Actually Made Money On $SUI so far? 1:09:22 - Thoughts on being Overweight SUI While HYPE And $ZEC Run 1:11:02 - When will The SUI Thesis Pay Off? 1:13:20 - What Brought Raoul Back To $ETH 1:16:40 - The $SOL Comeback Thesis 1:17:37 - Getting Mocked Online Over ZEC and Zcash 1:19:59 - The Zcash Thesis 1:20:24 - Is Zcash A Trade Or A ZODL? 1:21:44 - How Big Can ZEC Get? 1:22:53 - Sponsor: @JupiterExchange , @ethena 1:23:35 - Why Real Vision's Analyst @Jamie1Coutts is bullish on $NEAR 1:25:16 - What Is Money For? 1:26:45 - Optimizing For More Than Wealth 1:29:35 - The Most Asked Question To His Palvatar 1:33:31 - The Secret to Raoul's Great Looks 1:35:03 - Looksmaxxing: How Deep Is Raoul In? 1:36:08 - Paying his Ex Wife back with Smoking Chicken Fish 1:37:46 - Was Telling Everyone About SUI a Wise Idea? 1:39:22 - Facing The Millions of People Who Followed him on The SUI Trade 1:42:53 - Was the 70% SUI Position Sizing Wrong? 1:44:13 - Does Raoul Still Believe In Hold And Do Nothing? 1:44:48 - The One Major Shift Left To Witness 1:48:46 - How Good Is AI Today?