Find the sweet spot where genAI boosts your productivity but doesn’t get you in over your head where you can’t tell good output from bad.
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It’s not often someone can talk about genAI in a “pragmatic and realistic” way, but those are exactly the accolades handed out to AWS Product Management Director Massimo Re Ferrè following his recent generative AI (genAI) talk. It’s not hard to find opposing sentiment. We continue to pile mountains of hype on generative AI while the economics of training large language models (LLMs) are insane. “The capex on foundation model training is the ‘fastest depreciating asset in history,’ ” says Michael Eisenberg. To really hit its stride, genAI is going to take time.
But that’s someone else’s problem to solve. For you, the question is how to use (or ignore) genAI in your work right now. For that, Re Ferrè introduces a useful framework for thinking about how and when …