Sometimes when installing new AI software on the computer, I get lazy and don't want to tinker with it myself when things don't go well.
I just let another AI help me train it.
Let it analyze problems, modify configurations, and run tests.
Many times it can really get things done.
Sometimes watching this process is actually quite interesting.
Software is helping software solve problems.
Slowly, you will find that many things are no longer just 'people operating software,' but rather software working together with software.
For example, one AI writes code,
another AI is responsible for testing,
yet another system helps you deploy.
The whole process is actually very close to automated operation.
However, as these systems increase, a problem will gradually emerge:
How do these automated systems collaborate with each other?
If each system operates independently, it is actually difficult to scale.
Because how tasks are allocated, how resources are used, and how the execution process is recorded all require a unified structure.
So recently, when I was looking at some AI + Crypto projects, I became more focused on those that are building 'collaborative networks'.
The idea of @Fabric Foundation is quite interesting.
It is not just creating an AI tool, but trying to build a network where machines can collaborate.
Different nodes, systems, and even automated programs can execute tasks within this network.
When tasks are completed, calculations are executed, and resources are used, all these actions will be recorded.
As a result, many collaborative processes no longer need manual confirmation.
And $ROBO in this structure is actually more like an operational unit within the network.
When nodes participate in collaboration, provide resources, or execute tasks, incentives can be formed through it.
I think one interesting aspect of this direction is that
It is not just an application, but rather like building an operating environment.
Just like in the early days of the internet, everyone started by just creating websites, but then various platforms and services slowly emerged.
If AI systems become more numerous in the future, the collaborative network between machines may become increasingly important.
At this stage, it is still relatively early, and many things are still slowly developing.
But sometimes, watching AI help AI to tune software can actually give a sense of it.
Collaboration between automated systems may become increasingly common.
The network structure may also change accordingly.
