ALL-IN crypto - (a broad exploration in Crypto, VR, & A.I.) | E:49

Low Level Barbarians (LLB)

Y.K. Goon's Previous Episode: https://open.spotify.com/episode/3LOd7lkqNME5uIqKUQidh5?si=d1ebc504f5eb41df Need help with market expansion, product market fit, growth, or fundraising? Reach out! * https://www.linkedin.com/in/alexanderle/ Support the pod! https://buymeacoffee.com/lowlevelbarbarians Connect to Y.K.! * https://www.linkedin.com/in/ykgoon/ Another old episode from the catalogue. If you ever wondered how or why someone invest 100% of their net worth in crypto look no further. In this episode we explore how YK navigated the centralized exchange fiascos of 2023, the bottlenecks for mass adoption of crypto, some of YK's best investments and how YK avoids post exit investment regret. In part 2 we talk about the broad implications of VR and lastly we talk about how YK is using A.I. in his daily software engineering job as CTO of Kakitangan 00:00 Intro 01:24 Recap From Previous Episode 02:22 Investing In Crypto 03:50 YK's Workflow in Crypto 06:40 On FTX Fiasco 10:31 Luna Effect on YK's Portfolio 14:39 Real Yield vs Scam Yield 17:28 Old Fiat to New Fiat 20:22 What Is the Bottleneck for Mass Adoption of Crypto 24:26 Why 100% In Crypto 27:11 Weakness of Crypto Currencies 32:32 What Does Mass Adoption Mean 36:58 Diversification Strategy 38:33 Investing and Managing Risky Assets 43:50 Successful Investments 50:21 Did Livepeer Exceed Your Expectations 52:09 Post Profit Regret 54:14 Measuring Performance 56:18 How Much Value Lost From the Peak 58:41 Views On Institutional Money ON-Chain 01:03:19 What's New In Crypto 01:06:16 Thinking About Investing In Games 01:19:22 NFT's built on Bitcoin 01:22:18 Cryptocurrencies are like cities 01:25:50 YK's Excitement on VR 01:26:55 Playing VR Doom 01:27:22 Tech, Media, Reality Thesis 01:29:47 Why Is Mainstream Against the Idea of VR 01:31:32 State of VR 01:41:31 Is Our Generation More Pessimistic 01:43:51 Media Consumption Horizon 01:48:33 Today's Zeitgeist 01:51:23 Prompot Engineering 01:54:13 Using LLM's to Code Wwith Teams 01:59:02 Does TEchnical Debt Reduce wwith AI 02:06:55 Closing Thoughts on LLMs