

AGI is Being Achieved Incrementally (DevDay Recap - cleaned audio)
25 snips Nov 8, 2023
Guest
Rahul Sonwalkar
Guest
Shreya Rajpal

Guest
Louis Knight-Webb
Guest
Reid Robinson

Guest
Surya Dantuluri

Guest
Raza Habib

Guest
Alex Volkov

Guest
Simon Willison
In this discussion, Simon Willison, a software developer and author, joins AI researchers and startup founders to reflect on OpenAI's DevDay announcements. They dive into the exciting advancements like GPT-4 Turbo, the risks of prompt injection, and the shift from plugins to GPTs, highlighting the implications for app development. Reid Robinson shares insights on Zapier's AI actions, while Shreya Rajpal emphasizes the importance of guardrails for LLM applications. The conversation also explores new API features and community-driven innovations in AI.
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Economy of Scale
- OpenAI's economies of scale are a game-changer, making APIs cheaper.
- Feeding entire Harry Potter books into GPT-4 costs $15 to read and $45 to write, while watching all movies frame-by-frame costs $180.
OpenAI Integration
- OpenAI is integrating various functionalities like code interpreter, stateful API, browsing, and plugin integration within the Assistant API.
- The API offers flexibility and improved capabilities for developers.
Low-Code/No-Code Focus
- OpenAI's DevDay focused on low-code/no-code programming with natural language.
- GPT's creation process uses a chat interface to fill out forms, improving user experience.