Agents

The hierarchies we need for agents are more likely to come from organizational forms (a highly refined technology for working across multiple actors with many responsibilities & ability levels) than from coding practice. Already some hints this might work well in early papers. https://t.co/sLf4UkMyyj

Our vision is to transform scientific discovery from sporadic breakthroughs into a continuous, predictable process. Instead of waiting years between major advances, we envision AI systems that can sustain the kind of relentless momentum that drives paradigm shifts — not through individual moments of genius, but through systematic exploration.

In simulations designed to mimic real-world markets, trading agents powered by artificial intelligence formed price-fixing cartels — without explicit instruction. Even with relatively simple programming, the bots chose to collude when left to their own devices, raising fresh alarms for market watchdogs.

Put another way, AI bots don’t need to be evil

... See more