@JensenHuang's two predictions for 2027 at @FireworksAI_HQ forge 1. security depends on two things: open models plus a contained runtime - "next year we’re going to realize this one piece of software, which is a secure runtime, completely revolutionized AI...not because of what it can do, how we can safely deploy it" - treat agents like a new hire: minimal rights, always monitored, kill switch. - pair with strong open models (and open shell) so security isn’t one central point of failure. - open models enable “distributed self defense” - companies aren’t blocked on capability, they’re blocked on trust - which matters even more when agents start touching hardware 2. "hardware in the loop" is the next big frontier - “the second big breakthrough for the industry” - telecom: millions of radios already deployed, which could get far more spectrally efficient once agents control them - drug discovery: instruments from Thermo Fisher and others plus robot arms from KUKA and ABB, connected into one agentic system - manufacturing: eventually an entire fab where an agent runs every instrument - "an entire fab is really going to become agentic” - the bottleneck moves from the model to integration - a big opening for whoever builds the connective layer

muse announcements so far - free for users, but may eventually take a cut of transactions - adding computer use - muse email addresses coming soon - walmart, best buy, gap, sephora, instacart, and more integrating with muse - integrations with box, github, granola, notion - 1500+ applications for connector platform (lovable, eleven labs, and more)