Qwen's Former Lead on What Hybrid Thinking Got Wrong — and Why He Now Backs Agents

Junyang Lin, erstwhile technical lead of Alibaba's Qwen, has decided that 'hybrid thinking' was a dead end. It is a glorious retraction: one more AI luminary admitting last year's gospel is this year's heresy. The man who helped build a flagship model now insists we should 'train agents, not models' — because nothing says 'we've cracked it' like abandoning the entire paradigm you spent millions scaling.

Lin's talk, 'Qwen: Towards a Generalist Model / Agent,' reads like a pivot memorandum from a startup that just realised its burn rate exceeds its insight. He claims the field got 'hybrid thinking' wrong, but let's be honest: the real hybrid was the confused blend of marketing hype and actual engineering. The slide decks will flow, venture capital will chase the 'agent-first' buzzword, and in eighteen months someone else will declare agents passé and 'embodied cognition' the new Messiah.

This is the rhythm of AI research: a permanent revolution where yesterday's breakthrough is today's boondoggle. The galling part isn't that Lin changed his mind — science should change — but that the industry treats each pivot as revelation rather than the desperate thrashing of a field that still can't ship a reliable calendar assistant. What 'hybrid thinking' got wrong is the same thing 'agent thinking' will get wrong: the belief that calling something a paradigm shift makes it one.