Why it matters
At most traditional enterprises, GenAI got handed to the ML platform team because it had AI in the name. Phil Hetzel from Braintrust argues that was the wrong move, not because data scientists lack value, but because Anthropic and OpenAI already ran the data pipeline. What is left is prompt and context engineering, dis
My takeaway: At most traditional enterprises, GenAI got handed to the ML platform team because it had AI in the name. Phil Hetzel from Braintrust argues that was the wrong move, not because data scientists lack value, but because Anthropic and OpenAI already ran the data pipeline. What is left is prompt and context engineering, dis