AI is automation. As a result, the best way to offer an ai-powered service is via an API to support automated tasks.

AI has made traditional explicit data transformation obsolete

A list of key finding to illustrate the impact of AIP Guidelines in the areas of API consumption and API production: API Production: Increased Requirement Fulfillment: A controlled developer experiment showed that developers using API Improvement Proposals (AIPs) and an API linter achieved a 10% higher requirement fulfillment rate compared to those without any protocols. Feedback Utility: Among developers using the linter tool alongside AIPs, 75% found it beneficial, aiding significantly in refining their API designs.

• Be socially beneficial • Avoid creating or reinforcing unfair bias • Be built and tested for safety • Be accountable to people • Incorporate privacy design principles • Uphold high standards of scientific excellence • Be made available for uses that accord with these principles

AI turns right brain thinking into left brain.

https://www.youtube.com/watch?v=DuSS18NzjEw&t=96s&ab_channel=SAEAthens I was invited to the Life of Dev podcast and had a relaxed and insightful conversation on the API Designer role, software, AI and more

Last week, Reddit filed their S-1 to go public. At least 10% of their revenue - about $60m - comes from selling data to train Large Language Models. Data sales invert the business model of the Internet. Instead of Reddit building product experiences that create good advertising data to earn more on ads, Reddit will launch product experiences that produce more valuable data to feed to LLMs. The LLM vendors should pay more for better data.