Fireside Chat, Interview
40 AI Founders Discuss Current Artificial Intelligence Technology
- Users are expected to act as narrators directing models to produce results potentially superior to human self-execution, with tools enabling anyone to create complex content like "South Park from their bedroom."
- The company plans to build "truly human-like AI voices" indistinguishable from human speech while continuously fine-tuning models on evolving data types to maintain accuracy.
- Models will require constant updates to adapt to rapidly shifting terminology, such as fashion trends changing from "mermaid court" to "ballet court" within a single month.
- AI tools are projected to deliver an "85 to 90% solution" necessitating additional fine-tuning or "hacks," whereas users who engineer specific prompt sequences may achieve processes even more reliable than manual execution.
- Solutions will require iteration and debugging because outputs may not remain consistent over time due to changing data or underlying model quality.
- Introducing randomness into outputs will allow the team to explore the model space better, facilitating improvement through learning from choices.
- Models will continue to struggle with distinguishing fact from fiction, generating hallucinations of things that "don't exist, but looks like it might or should exist."
- Verifying AI-generated medical diagnoses will likely require significant time for doctors, where mistakes could cause significant trouble.
- Industry efforts to prevent hallucinations may create an opposite problem where models "often think things aren't real or pretend that it doesn't know things," making it harder to disambiguate hallucinations from nuanced data.
- Models will not consistently provide citations, remaining a challenge, while trustworthiness metrics are currently insufficient as understanding human trust requires further development.
- Developers will need to steer models through nuance rather than relying solely on automated solutions, with "human in the loop" processes remaining essential for initially assessing corrections and supervising output to prevent hallucinations.
- All YC companies working on AI face the challenge of determining the right ways to steer these tools, with the ultimate trajectory focusing on keeping humans in service to deepen human connection and deliver what is actually valuable.