Why does the human have to be in charge? Once someone sets a swarm of AI bots on a path, it can easily become a grey goo scenario.
And even if it isn’t, the bot can simply stop listening to the “master”.
What is stopping a LLaMa swarm from overrunning HN? Basically karma points and account ages, that’s about it.
But given a year of sleeper swarm members amassing karma in a distributed manner, they can definitely make HN ban all accounts registered after X time similarly to how that sci fi publisher banned independent submissions!
In my testing llama(I tested multiple variations) < gpt3.5 < gpt4
And more and more I use gpt4, I'm starting to notice more and more ways this model fails in spectacular ways.
In many cases those models want to generate specific output and if that it's what you want it is very hard to convince it to adjust it, as ofter model will just ignore what you said.
Therefore I think any autonomous agent will fairly quickly fail in following it's objectives or it will be very easy to break it when there is any controlled way to inject text into input
Asynchronous scheduling of disparate resources to converge on one or more solutions given gradually stricter constraints.
> planning a trip
Resolving workflow dependencies to a single, favored sequence of actions.
Both these primitives sound similar, graph-like. And maybe we could apply them to a wide variety of problems.
Extrapolating kind of a lot here, but these are my predictions:
1/ We will soon see fully autonomous AI agents operating on the Internet, running businesses, and pursuing goals set by their human masters with little-to-no oversight.
2/ An AI will commit fraud or a financial crime within the next 6 months and its human creator will be liable (if they can be found).
3/ A platform will be launched within the next 3 months for managing autonomous AI assistants that can handle tasks like coordinating appointments or planning a trip.
[1] https://www.boteatbrain.com/p/jarvis-hugginggpt