Can tech companies learn to love cheaper AI models? | TechCrunch
Summary
The AI industry is facing a potential shift as mounting costs pressure companies to adopt cheaper models. Coinbase co-founder Brian Armstrong predicts that 80% of workloads will run on models 99% cheaper within 12-18 months. This trend challenges the previous assumption that bigger models are always better. Initial tests, such as those by Harvey, show that cheaper models can maintain quality while significantly reducing costs. The divide is not between proprietary and open models, but between large and small models. As token prices rise and subsidies slow, the industry must adapt to a new cost-conscious approach, which could impact the economics of AI and the future of frontier model training.
(Source:Nyt News Today)