Why Enterprises Shouldn't Train Their Own Models Just Yet
graceisford · x · 2026-07-14
Sharing an article, the author's core message is that while many are currently pitching "custom-trained models," training an in-house model is usually not the first choice for most enterprises.
The article maintains that training only makes more sense at a later, more mature stage; for the vast majority of use cases, directly using models from frontier labs is entirely sufficient.
Related event: Opinion: Most Enterprises Shouldn't Train Their Own Models Yet(3 posts)→
More from Companies & People
- Anthropic S-1 warns of AI job displacement as Microsoft offers exit to ~27% of staff — _jaydeepkarale · 2026-10-27
- Factory AI hires Alli as VP of New Media and Startups Marketing — matanSF · 2026-10-27
- Founder DIYs her startup logo: $35K branding makes no sense early on — MarwaEldiwiny · 2026-10-27
- a16z opens applications for third New Media Fellowship cohort — a16z · 2026-10-27
- Anthropic S-1: Over half of $100K+ customers now use both Claude platform and first-party apps — RebeccaBellan · 2026-10-27
- Replit CEO on the 'self-driving company': agents to absorb coordination costs by 2030 — amasad · 2026-10-27