4 ms·
>Startups are (by necessity) filled with generalists; big companies are filled with specialists. People underestimate how effective a generalist can be at thing
by delhanty 9y ago
>Startups are (by necessity) filled with generalists; big companies are filled with specialists. People underestimate how effective a generalist can be at things which are done by specialists. People underestimate how deep specialties can run. These are simultaneously true. [0]
For Google etc. it probably makes sense to pay top dollar for lots of ML PhDs (specialists).
A startup looking for opportunities engendered by ML is better off with a smart generalist. E.g. Dawson Whitfield of Logojoy was a designer. [1]
[0] https://twitter.com/patio11/status/936628610474983424?lang=en https://twitter.com/patio11/status/936628610474983424?lang=e...
[1] https://www.indiehackers.com/podcast/038-dawson-whitfield-of-logojoy https://www.indiehackers.com/podcast/038-dawson-whitfield-of...
- nunez 9y agoYes, because at their scale and revenue, it makes sense to start pumping out your own research. Some PhD theses do eventually become competitive advantages (Paxos comes to mind), and nothing is better than being able to work on your “thesis” with a nice paycheck and without the threat of “publish or perish.”