AP
AI product development
TopicExpert statements
13
7 positive · 3 negative
What experts have said about AI product development
13 statements · 7 positive · 3 negative · 3 neutral
Product teams should remove features to simplify products and adapt to future capabilities.
“we need to feel comfortable making kind of hard decisions that might upset a small set of users or a small set of us internally to do the bigger thing of make the product simple, make the product powerful, and adapt to where the future is going.”
Open the episode · How we built Grok Bot in a month | Roman Ugarte (SpaceXAI)Listen at 1:10:47
AI products should target model capabilities two to three months ahead.
“The only way to build is two to three months.”
Open the episode · AI’s third era: the rise of persistent AI coworkers | Tara Seshan (OpenAI’s product lead)Listen at 0:31
AI product development should remain closely connected to research.
“most importantly, it's like very, very important to stay tied to the research.”
Open the episode · AI’s third era: the rise of persistent AI coworkers | Tara Seshan (Product Lead ChatGPT Work)Listen at 7:44
Statements are attributed to the speaker as said on the episode and reflect their view at the time, not PodLume's. They are not advice.