#token reduction

'Anthropic proposes running model generated TypeScript against filesystem based MCP APIs so large tool outputs stay out of the model context, cutting token usage by orders of magnitude.'

Researchers from the National University of Singapore developed Thinkless, a framework that dynamically adjusts reasoning depth in language models, cutting unnecessary computation by up to 90% while maintaining accuracy.