Boris Cherny

Boris Cherny, an engineer at Anthropic, argued that general-purpose AI models are a better bet than narrowly specialized ones, saying broad systems can adapt to new tasks as capabilities improve. The remarks have sparked debate among AI developers about whether targeted, domain-specific models still make sense as frontier models grow more capable.

Boris Cherny, an engineer at AI company Anthropic, is advising developers to build on general-purpose AI models rather than investing in fine-tuning. His argument is that frontier models improve so quickly that customized versions trained on specific data risk being outpaced. The advice is drawing attention from developers weighing whether to fine-tune existing models or rely on prompt engineering and general capabilities.