Alex Pack on applied AI
From SO MANY THINGS need to go right just so you can watch a TikTok! | E2215 · · This Week in Startups
“I am paying a lot of attention to applied AI. Sure, it's great to keep up with the newest models, but if you really want to understand the health of the AI market, I think you need to go and look where the rubber actually meets the road.”
On , Alex Pack, Managing Partner at Hack VC, spoke about applied AI during SO MANY THINGS need to go right just so you can watch a TikTok! | E2215 on This Week in Startups.
About Alex Pack
Alex Pack, managing partner at Hack VC, has been active across multiple media appearances discussing venture capital, crypto, and AI. On the "This Week in Startups" podcast, he commented on the complexity of modern software infrastructure, using the delivery of a TikTok video as an example of the many layers involved. He also participated in a panel at TOKEN2049 in Dubai debating the future of decentralized finance (DeFi) versus centralized finance (CeFi), where he stated that he has been a crypto venture capitalist for 11 years and has done many early DeFi deals. Pack expressed the view that DeFi lending has already exceeded centralized exchange lending in market share, and predicted that spot trading would flip centralized exchanges within two years. In other appearances, Pack discussed startup strategy, advising founders to build an audience before seeking venture capital, citing examples of entrepreneurs who gained traction through viral stunts. He also spoke about the intersection of AI and business, describing an investment in 11x, a company automating sales functions, and outlining a model for using AI to acquire and transform small, fragmented businesses. On the topic of Ethereum, Pack co-authored a piece analyzing the relationship between Ethereum fees and token price, and defended the network's modular scaling approach. Additionally, he has been promoting Hack VC's research and investment memos, and has shared personal creative projects, including original music performances.