Opportunities in Tooling
Sarah Guo discusses the exciting opportunities in tooling, specifically in areas where the error rate doesn't lead to catastrophic effects. She highlights use cases such as CoDA generation, RPA, and multimodal models for creative and marketing use. Sarah emphasizes the importance of pairing customer-backed domain knowledge with understanding of product and research, and predicts that software engineering founders will play a key role in building these tools.In this clip
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20VC
20VC: In AI Who Wins? Startups or Incumbents? What Happens to Wealth Inequality? Why Will $10BN+ Companies Only Have 10 People | Why Defensibility in Startups is BS & Speed is Everything? Why Large Groups Worsen Decision-Making with Sarah Guo
Related Questions
What AI tools are popular for startups?
How are generative AI use cases evolving for code and developer productivity as discussed in the episode From open source to acquired (Interview) and the clip AI in Development featuring Ryan J. Salva (VP of Product at GitHub, Copilot)?
I have a question about the episode Harnessing AI APIs for Safer, Accurate, & Reliable Applications // Ron Heichman // #252 and the clip Malicious Code Risks. I am a software engineer in a world of large language models (LLMs) where most software can be easily written by them. What business should I start, knowing that I have a competitive advantage in understanding software development but also want to protect myself against disruption?