All the while Karpathy talking about how only a fraction of people understand the capability of (frontier) AI models: https://news.ycombinator.com/item?id=50047422.
As a product manager my approach and execution of my daily work has massively changed in the last half a year. It never stops making me baffled how little people out of software development understand about what is happening right now.
It's because they've been in FAANG silos with near zero experience in the pre-SDLC (basic research, practical application phases) through to the post-SDLC (tech transfer, commercialization etc) with most having near zero direct experience inside actual QA teams (with QA being beneath a lot of engs). A true AI pipeline hums when this is real end to end cycle. One of the reasons for that is based on how well it manages many-to-many connections inside vector space. One more thing, most soft devs have near zero comprehension of how language models work so leveraging them to manage complexity is very foreign with most not understanding that language models apply far beyond just human language and into any sequence of data e.g. DNA/RNA or just about anything you can chop up. This kind of scale is also a new concept to most.
They are only capable of Technical reasoning, other perspectives are often beyond them.
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> It never stops making me baffled how little people out of software development understand about what is happening right now.
What do you expect them to understand?
It amazes me how little people IN software engineering understand what's happening. Go ahead, listen to your bosses and write all your knowledge in AGENTS.md files, you're definitely special and won't be laid off.
Ask anyone in manufacturing how writing things down for your cheaper replacements works out for you.