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This isn't about AI startups, it's about projects that are started under the umbrella of an existing organization. See the actual report: https://www.rand.org
by lolinder 2y ago
This isn't about AI startups, it's about projects that are started under the umbrella of an existing organization.
See the actual report:
https://www.rand.org/pubs/research_reports/RRA2680-1.html https://www.rand.org/pubs/research_reports/RRA2680-1.html
- bugbuddy 2y agoI would guess that the failure rate is worse for AI startups in general because of lower capital and experience. These failing experiments can only shell out billions for Nvidia’s shovels for so long before they have to start selling their shirts for lunch.
- pas 2y agoon the other hand internal teams are not exactly known for their amazing inventiveness and daring bets that then make bank.
- josh-sematic 2y agoSufficiently large companies should have a healthy “internal portfolio” of projects as well. Some safe bets/easy wins, some “this probably won’t work but if it does it’s game changing” projects as well. If they want to continue to exist in a competitive market they need to strike gold occasionally (which means hitting rock a lot of the time as well).