As small open models advance, so does the potential for AI agents to work together. AMD SVP and GM of the Computing and Graphics Group, @JackHuynh explores how teams of agents could multiply individual impact and create new experiences.

@jackhuynh Small models make multi-agent setups practical because you can afford to run many of them. A team of cheap specialists, each with a narrow job, often beats one big generalist on both cost and speed. The open weights are what let people tune each role.

@jackhuynh Cheap models make per-result pricing viable. That's exactly how Orthogonal bills inside Muse

@jackhuynh AMD lo ha echo bien, solo debe invertir en mejores APU, gracias a Strix Halo tiene un buen producto, simplemente invertir mas en eso, en un producto características similares, su estrategia comercial simplemente es la mejor son los que mas ventas tienen

@jackhuynh $AMD is scam company rn I don't see any growth for next 25-30 years again @LisaSu

@jackhuynh Teams of small models each handling one piece of a task feels like a natural next step. Really curious to see what people build with this 🚀