Lessons from OpenAI, Meta, Twitter, Google, Salesforce (Category Management)

I'm very interested. look This podcast from Lenny, where he chatted with Bret Taylor, a legendary figure in the tech industry with a unique career spanning all levels from engineer to executive. Bret managed to create Google Maps in Google, work CTO in banned in Russia Meta (Then it was Fb.), was co-CEO at Salesforce, chairman of the board of directors at OpenAI, and is now developing AI launch Sierra with a valuation of $4.5 billion By the way, I mentioned this startup when handler interviewRise of the AI ArchitectClay Bavor, co-founder of Sierra. As for the key ideas, they are as follows:

1. Philosophy of Career Growth Bret shared a principle that changed his approach to work after Sandberg's advice: "Ask yourself every morning: what's the most important thing I can do today?" This approach has helped him successfully adapt to different roles and levels of responsibility. To me, this approach seems effective, but difficult to implement - many people want to do every day not the most important, but the most familiar. 2. Flexibility of professional identity Bret stressed the importance of a flexible view of one’s own identity. Colleagues from different companies perceive him differently: Facebook as an engineer, Google as a product manager, Salesforce as a CEO. This adaptability is the key to success in different roles. It seems to me that being as versatile as Bret is difficult - conventionally, I can look at the world through the eyes of an engineer, an architect, a manager, but it is difficult to watch as a CEO or CPO.) 3. Lessons from failure Bret has been open about his failures, including the failed launch of Google Local, which nearly ended his career at Google. This experience taught him to create fundamentally new user experiences, not just digital copies of existing solutions. It seems to me that failure often gives a bigger boost to a career than success. ||If you correctly reflect and draw conclusions (I also remember the key facapas in my career that changed me.)|| 4. The Future of AI and Three Market Segments Bret identified three key segments of the AI market: Frontier models that require huge capital investments are not suitable for startups. AI tools that include data markup services and specialized models Applied AI and agents, which are the most promising segment for startups 5. Agent revolution Bret’s thesis is that the AI market is moving toward agents that will replace traditional SaaS products. Agents will be able to perform tasks autonomously, allowing them to shift to results-based pricing instead of traditional subscriptions. 6. Model Sierra You can find out more about it in post proRise of the AI Architect" 7. The future of programming Bret believes that the study of computer science remains important, but the nature of software creation will change. Programmers will control machines that generate code, which requires system thinking more than coding skills. 8. AI in education Bret actively encourages his children to use AI for learning, seeing it as a democratization of access to quality education. He sees AI as a personal mentor for each child. 9. Go-to-market strategies for AI Bret identified three main models: Product-led growth for developers and small businesses Developer-first - for platform solutions Direct sales - for a large corporate segment (Sierra has chosen this path.) 10. The Importance of the Right Advisors Bret stressed the importance of intellectual honesty in analyzing failures and the need to find the right advisers. Confidence in advice does not always correlate with quality.

All in all, it was a great podcast episode from Lenny that I watched with a lot of interest and attention.

#AI #Engineering #ML #Architecture #Software #Management #Leadership