A serious point about this is that it's an AI that's an organization. This matters.
People laughed at Gas Town, and at that "Fences, not Sandboxes" article yesterday.[1] They're both AIs set up as an organization, not an emulated human. They're both expensive to operate, because the AI members of the organization spend a lot of time talking with each other. They're both applied to frivolous problems.
Now we have the same concept, applied to a more useful problem. It's time to pay attention. Something important is happening here.
Everybody has been talking about "human-level AI", or "superhuman-level AI". This is a different kind of AI - corporate-level AI. It works and thinks like a company's management. It watches a wide range of data sources and responds to some of them with action, and some with internal discussion within the AIs. It can potentially pay attention to far more inputs than any human. That overcomes a basic problem of corporate organization.
A classic management failure is not paying enough attention to something.
This is usually not a problem for computer systems.
Humans are bandwidth-limited. Teams of AIs are far less bandwidth-limited.
They may soon be outperforming humans for that reason alone.
Think about this for a while. These team AI systems may be very useful.
[1] https://news.ycombinator.com/item?id=49423146