Look at OpenAssistant (https://github.com/LAION-AI/Open-Assistant); they are trying to give a chatbot the ability to trigger actions in other systems. I fleshed out a scenario in more detail here: https://news.ycombinator.com/item?id=34808674.

But in brief, the short-term evolution of LLMs is going to involve something like letting it `eval()` some code to take an action as part of a response to a prompt.

A recent paper, Toolformer: https://pub.towardsai.net/exploring-toolformer-meta-ai-new-t... which is training on a small set of hand-chosen tools, rather than `eval(<arbitrary code>)`, but hopefully it's clear that it's a very small step from the former to the latter.

I didn't say 'trade', I said 'make transactions'. It's no more complex than Bing Chat being able to search the internet, or Siri being able to send JSON to an endpoint which turns lightbulbs on and off. Instead it's a shopping endpoint and ChatWhatever can include tokens related to approving transactions from your Bitcoin wallet and has your authorization to use it for purchases less than $100.

How often do you think a Bing query is made?

You might say that it doesn't preserve state between different sessions, and that's true. But if it can read and post online, then it can preserve state there.

> that only speaks when spoken to

Feedback loops are an important part.

But let's say you take two current chatbots, make them converse with each other without human participants. Add full internet access. Add a directive to read HN, Twitter and latest news often.

Interesting emergent behaviour could emerge very soon.