The Best of 2025 (So Far) with Sarah Guo and Elad Gil
Episode
18 min
Read time
2 min
AI-Generated Summary
Key Takeaways
- ✓Early GPT-3 Legal Testing: Harvey tested GPT-3 on 100 landlord-tenant questions with chain-of-thought prompts. Three attorneys approved 86 answers as sendable without edits, revealing legal AI capability before widespread recognition.
- ✓Test-Time Compute Efficiency: OpenAI reasoning models achieve steeper scaling curves when given tool access. Models defer tasks without comparative advantage to specialized tools, allocating compute more efficiently than pure token generation.
- ✓Bad Markets Become Good: Enterprise search failed pre-SaaS due to data access challenges. SaaS systems with unified APIs and standardized versions enabled turnkey search products, transforming a graveyard market into viable opportunity.
What It Covers
Best moments from 2025 AI podcast episodes featuring founders from Harvey, OpenAI, Glean, Abridge discussing breakthrough applications, reasoning models, workforce displacement, and healthcare transformation.
Key Questions Answered
- •Early GPT-3 Legal Testing: Harvey tested GPT-3 on 100 landlord-tenant questions with chain-of-thought prompts. Three attorneys approved 86 answers as sendable without edits, revealing legal AI capability before widespread recognition.
- •Test-Time Compute Efficiency: OpenAI reasoning models achieve steeper scaling curves when given tool access. Models defer tasks without comparative advantage to specialized tools, allocating compute more efficiently than pure token generation.
- •Bad Markets Become Good: Enterprise search failed pre-SaaS due to data access challenges. SaaS systems with unified APIs and standardized versions enabled turnkey search products, transforming a graveyard market into viable opportunity.
Notable Moment
A doctor told her son at dinner that Abridge lets mommy come home early now, explaining she can eat with family every night instead of working late.
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