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Show hosts Joe (Eng VP) and Jordan (M&A Deal Lead) worked at various companies from Google, Apple, Facebook, Microsoft, Salesforce, Slack, Carta, Splunk, Wealthfront, Adobe, and more.
00:00 – Introduction: Max from Coverage Cat joins to discuss insurance and underwriting losses
01:13 – What is a combined ratio? Explanation of underwriting loss and its significance
03:02 – Insurance strategies: How your age and assets affect insurance needs
04:17 – Importance of umbrella insurance for asset protection
05:33 – Rise in commercial property premiums and the impact of interest rates
07:29 – Growth and profit cycles in the insurance industry
08:00 – Use of drones for home inspections and insurance cancellations
09:06 – Shrinking the book of business: Why insurers drop policies using drone data
10:48 – Insurance companies dropping policies using aerial data
12:44 – Smearing risk across customers: How insurance pools work
15:41 – Misconceptions about insurance pricing and its regulations
18:05 – Insurance agents vs. brokers: Who really represents the consumer’s interests?
19:10 – Cons of drone inspections: Increased premiums and lack of transparency
20:00 – Federal laws allowing insurance companies to coordinate on pricing
22:32 – California’s drone regulations for insurance inspections
25:08 – Annuities explained: Pros and cons of investing in them
27:06 – Analyzing whether annuities are a good financial choice
29:53 – Coverage Cat’s partnership with Geico for exclusive products in Texas
31:37 – Transition to tech: OpenAI’s advanced voice features rollout
33:12 – Humor with AI voices: Discussing AI’s use in personal conversations
38:26 – Issues with current voice AI and UI settings
42:50 – Use cases for ChatGPT’s voice features in everyday life
46:11 – The integration hurdle: Why voice AI still can’t interact with tools like Google Maps
50:10 – Using ChatGPT for programming: Max shares his experience with coding assistance
51:58 – Programming with AI: The balance between proof of concept and technical debt
52:37 – OpenAI’s challenges in making voice models sound natural
55:52 – Google’s Star Trek computer vision for search and how they fell behind
57:17 – Perplexity AI vs. Google: Why Perplexity delivers better AI-powered search results
1:00:34 – Closing remarks: Discussion of AI’s future in search and wrapping up the episode
