BREAKING
Decagon CEO on Open vs Closed AI
0%
Decagon open-source workloads
Open source share of LLM spend falls
Year ago19
Now11
When each model type wins
Closed sourceNew tasks
General intelligence
Fast prototyping
No infra to manage
Open sourceMature tasks
Fine-tuned for speed
High volume
Lower latency
The maturity curve for AI use cases
1Discovery on frontier
2Map failure modes
3Fine-tune open model
4Stable production
Choice depends on maturity
AI NEWS BLITZ
Decagon's CEO says closed-source models still win most enterprise AI work.