2026-06-16
Stanford's DeLM cuts multi-agent task costs 50% — without a central orchestrator
One of the assumptions behind today’s AI frameworks is that agents require a “boss” at the center; this orchestrator runs the show, routes requests, and makes sure the whole system doesn’t descend into chaos. That assumption may be wrong, and the cost of carrying it could be measured in inference dollars and coordination latency. A new Stanford framework called a decentralized language mod [...]
2026-06-16
I was in OpenAI’s first intern cohort. Here’s what it taught me about becoming an AI-native engineer
TL;DR: AI is making it easier than ever to build software that looks impressive in a demo. But after working in OpenAI’s first intern cohort, I learned that the real challenge is not just speed. It is judgment: knowing what to trust, what to test, and when a human still needs to stay in the loop. […]<br /> This story continues at The Next Web [...]
