When every innovation begins as a miracle and ends as a habit. History repeats itself: technology changes, but the pattern of its evolution remains the same.
Profound. The idea of a 'mental compass' instead of just a historical timeline really resonated, especially thinkinng about AI's trajectory. How might this framework help us better anticipate unintended consequences?
Hi Rainbow Roxy! I wrote the content and to answer to you I could say that I think that the real power of a pattern like this is perspective. It doesn’t tell us what will happen, but where to look. And this means a lot.
That’s often where unintended consequences start forming, in the blind spots we stop monitoring once a technology feels “under control”.
So, for AI that is mentioned in your comment and in the episode here, I think it helps to realize that some dynamics are red flags. So being autonomous in the interpretation.
Think about the infrastructure phase: the risk (and we’re seeing it clearly) is a big power concentration.
And in the mass adoption phase, this could bring some dependency issues with an always higher lack of competence.
Or in the last phase, the migration of value, can support us to look in the right direction to anticipate something that everyone can only accept and endure.
That's a really interesting point of view about technological innovation and what we can wait from them future. Big AI players out there are already investing huge amounts to become the leader in their field. I'm pretty sure that integration among different services and platform could be the key to win this battle.
Now for every task you have to move to a different AI model, using multiple services and losing some part of data.
Profound. The idea of a 'mental compass' instead of just a historical timeline really resonated, especially thinkinng about AI's trajectory. How might this framework help us better anticipate unintended consequences?
Hi Rainbow Roxy! I wrote the content and to answer to you I could say that I think that the real power of a pattern like this is perspective. It doesn’t tell us what will happen, but where to look. And this means a lot.
That’s often where unintended consequences start forming, in the blind spots we stop monitoring once a technology feels “under control”.
So, for AI that is mentioned in your comment and in the episode here, I think it helps to realize that some dynamics are red flags. So being autonomous in the interpretation.
Think about the infrastructure phase: the risk (and we’re seeing it clearly) is a big power concentration.
And in the mass adoption phase, this could bring some dependency issues with an always higher lack of competence.
Or in the last phase, the migration of value, can support us to look in the right direction to anticipate something that everyone can only accept and endure.
It’s a tool. But it could help a lot.
That's a really interesting point of view about technological innovation and what we can wait from them future. Big AI players out there are already investing huge amounts to become the leader in their field. I'm pretty sure that integration among different services and platform could be the key to win this battle.
Now for every task you have to move to a different AI model, using multiple services and losing some part of data.
What do you think about this type of integration?