The authors of "Attention is all you need" got all the recognition. The people who worked on scaling deep learning models to huge clusters got no recognition. But both were just as instrumental to the ultimate success of LLMs.
The authors of "Attention is all you need" got all the recognition. The people who worked on scaling deep learning models to huge clusters got no recognition. But both were just as instrumental to the ultimate success of LLMs.
- Really hard or really easy things can generate the same revenue
- Chief of X can screw up the leadership with hard or easy products if they can’t lead and explain to external audiences
- external audiences deal with a million things to be an audience to. It’s wishing on a dream that that audience will dig into “well who actually built this” vs moving on to w/e other thing is trying to capture their attention.
Put that together, recognition comes from glueing things and people together successfully, explaining how it works to outside world/clients, and steering the product away from an optimized elegant solution to w/e people will actually use.
Ever since tech stopped being academic/open source and got revenue linked to it, “thems the rules.”
Speaking of SWE survival guides, engineers often seem to ignore, hate, or argue this topic always, and meanwhile the smaller set of engineers who get on board with this (ugly, yes) reality tend to do well.