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Alex Palladini's avatar

Great article Shrivu. I can relate to a lot of the things you are wrriitng a about both on my daily job and also in general in my personal and artistic life (I am a failed musician who still make music).

I have two other interesting questions that I believe are adjacent to the set you created, and i would love to hear your opinion about.

First: what should we read? As manager, my job is to consume vast amount of information and to make (hopefully) good decision based on that. And of course to keep learning.

I heavily mean in AI to decide what to read and what not to read. I built my own provate shmmarization tool that runs locally (so it's 100% private) and heavily lean on it to learn new things. I found this improved my learning speed significantly. What is your take on this?

Second: as a manger, I'd like to think I still have a in depth knowledge of the tech ( I keep learning) and I constantly evolve my system design skills.i can still code but of course my code is horrible, as I have not coded full time for many years now. I found AI coding liberating as it allows me to use my skills to write good software.

My vision for the future is that AI will make me as good as Sr. SWE and will radically change how I manage and run teams. What are your thougs in this?

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yocoda's avatar

This is on par with what I've built over time on my own. Let me kindly ask you:

- is a lot of "I like to experiment" represent the amount you're spending on subscriptions? (rather than you feel they help you a lot)

Secondly, the absence of "This whole system feels like it could/should be parallelized to run and cherry pick the best outcomes over 10,000 chats" makes me want to ask:

- if you have thought about the flywheel, which would make what you're doing right now a greedy search style; without the benefit of cherry picking through even 100 attempts?

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