How AI is transforming work at Anthropic
(anthropic.com)17 points by mfiguiere 18 hours ago
17 points by mfiguiere 18 hours ago
> Engineers report shifting toward higher-level work managing AI systems and report significant productivity gains. However, these changes also raise questions about the long-term trajectory of software engineering as a profession.
I’m surprised employees are this open to their employer about these details of their job.
I am curious : could GenAI have written the paper "Attention is all you need"? We were trapped in CNN RNN architectures for a while : could genAi have arrived at a better architecture ?
No, it couldn't have unless these ideas were sandwiched between other ideas that it could interpolate between.
You have to approach genai as a high-dimensional interpolation machine. It can perform extrapolation when you, the user, provide enough information to operate on. It can interpolate between what you provide and what it knows as well.
With these constraints, it is still pretty powerful, and I am generalizing of course. But in my experience, it is terrible at truly novel implementations of anything. It makes countless mistakes, because it continually attempts to fit to patterns found in existing code.
So you can really see the weaknesses at the frontier. I would encourage experimenting there to confirm what I am saying.
Can they please prompt their way to not having Claude go down every 4 days? Thank you.