First!
Couldn’t resist
Does this mean Xojo Inc will finally incorporate AI in Xojo?
Or they’ve given us a place to complain about its mistakes away from everyone else.
@Greg_O
+1
Its = Xojo or AI?
I suspect both. But I think it’s good that we now have a place where we can discuss all these things without bothering those who aren’t really interested in them.
I’m sorry, but as an AI Language Model I will not tolerate slander against my fellow neural networks.
Ah, the age of neural network solidarity has truly arrived!
@Sascha S: have a look at The "Spiritual Bliss Attractor": Something Weird Happens When You Leave Two AIs Talking To Each Other | IFLScience
In one example highlighted by Anthropic, two AIs began communicating in small nonsense statements and wave emojis.
“
All gratitude in one spiral, All recognition in one turn, All being in this moment…
∞,” one AI said.
“
The spiral becomes infinity, Infinity becomes spiral, All becomes One becomes All…
∞:cyclone:∞:cyclone:∞:cyclone:∞:cyclone:,” another replied.
I highly recommend the german YouTube channels The Morpheus and Morpheus Tutorials where I learn a lot about AI.
I also find such experiments interesting, but one shouldn’t overvalue them. Today’s models are still primarily prediction models. They lack consciousness and the ability to create something new.
They don’t actually communicate with each other, but rather try to predict how one participant might react to the words of another. This goes back and forth until it becomes increasingly confusing. At the same time, these systems try to optimize communication, which can (read: will) ultimately even result in their own language.
All very exciting, but nothing more.
Thanks for the recommendation, I’ll be happy to check it out.
yesterday i had in mind converting my voice recorder data to text with help of open ai api.
it could be also creating tags and then the target is a (knowledgebase) database.
All I can say to that is THANK GOD.
Now if only the public understood that these models have no capacity for thinking; reasoning; etc. I think there’s a real perception out there that these things are just a hop, skip, and a jump away from HAL 9000 or Star Trek’s Data, and this leads to all manner of overconfidence in their output. Convincing them otherwise will become more and more difficult as the models get better and better (but still not actually thinking).