Understanding how your company will become AI-first (or AI-native, whatever framing you prefer more) needs to be at the forefront of your leadership team's mind. One important thing worth investing in is the infrastructure we enable to: test new models, create predictability, safety and deterministic results. As long as there are humans in the loop, and the quality of the models can cause friction with your customers, we'll need to control the range of mistakes we can tolerate.
Take Eran Kampf's idea and source code and give it a try at your company in your next engineering gathering or hackathon. The team will enjoy a healthy, creative competition, and you can tweak the engine and rules to make it even more enjoyable and better fit your culture.
Great questions reveal so much about others' depth and mastery: "By the way, in my day-to-day role working at a16z, this is one of the key things I try to assess: What is the founder’s mastery of their corner of the idea maze? I ask them a few simple questions: “why choose X feature instead of Y? Why start at X instead of Y?” and “why do you think X didn’t work as a product? how do you think X product is doing in the market?”" -- We're moving into an era where distribution is king, and many great ideas will be buried due to poor go-to-market strategy. Companies will need to figure out the technological stack and how they can use technology to rise above the noise. Engineers and Product Managers should be part of this effort, helping integrate and iterate (e.g., Growth Hacking via Gen AI).
Excellent take by Hiten Shah: "The best operators, builders, and decision-makers don’t wait for urgency to find them. They manufacture it. They know that speed compounds. That momentum is fragile. That hesitation kills more opportunities than failure ever will. [...] This isn’t about being reactive. It’s about controlling the tempo. People who operate with urgency don’t just get more done, they change the game entirely. They set the pace that everyone else has to follow. They don’t wait for the future to arrive. They build it before anyone else even sees it coming."
Dr. Andrew Huberman, in a short video (and a nice thread around it), explains why we should do at least one thing every day we really don't want to. It doesn't have to be big. Willpower or a desire to leave is a muscle.
"Instead of just absorbing text, you can probe it. When you encounter a difficult passage, you can ask for clarification. When an idea reminds you of something else you've read, you can explore the connection. The text becomes a starting point for investigation rather than just information to absorb. [...] The AI doesn't just ask questions—it helps readers develop the habit of questioning, encouraging the kind of critical thinking that Adler saw as essential to true analytical reading" -- Naveen Naidu Mummana's experiment with providing an AI companion to cover Adler's four reading levels is practical and inspirational.
It's remarkable how languages often enable deeper discovery of the self. German, Russian, and Japanese are more examples of rich languages that can capture a full range of experiences in a word.