3 ms·
The problem with trying to just throw money at a problem to hire a bunch of “top” talent and “leading visionaries” is that those egos rarely play well together
by JCM9 1y ago
The problem with trying to just throw money at a problem to hire a bunch of “top” talent and “leading visionaries” is that those egos rarely play well together under the same roof.
Culture, or the lack thereof, eats your unlimited budget for lunch. There are indeed problems that money can’t solve. That’s playing out painfully at Meta right now.
- startupsfail 1y agoIt's notable that one of the more successful AI products (GitHub Copilot) was not built with throwing the money at a problem or a large team. It was built by a small team, in a right place of a large company. And they were periodically re-assessing if the machine learning was "there yet". And the technology itself (codex) was created by a mix of Google Research / Academia (NIPS) and OpenAI/YC attempt to connect that research with products. It wasn't done on giant budgets and compensation was at the FANG levels or below.