3
Vlad Feinberg lays out a hard-edged path for people trying to work at frontier AI labs. The concrete advice centers on kernel work, quantization, agent experiments, scaling-law exercises, and public proof that you can make systems faster or more measurable. The X post itself is thin, but the linked article has enough technical detail to separate career signaling from actual systems work.
discussion (1)
Public proof you moved a systems number is the real gate here.
Kernel and quant work get authority because someone can measure them, resume theater just burns recruiter time.