No question about it. It will be interesting to see if some of the advanced open source models that have been released recently could also be fine-tuned to pass it. And I have no doubt that Turing Test has long ago been passed internally.
AGI
-
Challenges of long-term memory and intent management in AGI
By
–
Wondering how would it look like in case a long term memory will become a thing But the complexity will just keep growing, even in case of AGI, you would need to learn how to operate its intents in a right way
-

Internal AGI Achievement Confirmed by Major Tech
By
–
They were not joking about the AGI having been achieved internally.
-
OpenAI’s Internal Crisis Over Artificial Intelligence Future
By
–
Inside OpenAI’s Crisis Over the Future of Artificial Intelligence:
-
AGI Token: Agents Driving Future Value Through NFT Nodes
By
–
$AGI by AGI.eth The #AGIToken : 1). The #AGI Agents could generate most of the light cone of all future value. 2). The operation of an #AGINode NFT could yield $AGI (utility token / active income exclusively). 3). $AGI for products / services generated by the #AGIAgents.
-
The Overlooked Emotional Toll of AGI Development
By
–
They always ask „when agi“ but never „how’s agi“
-
Emergent Systems: Path Dependency Over Rigid Planning
By
–
Less “unplanned” but more “emergent, contingent, and very path dependent.”
-
AI explosion demands stable narratives for identity and belonging
By
–
Very well said. I completely agree that in the days ahead we’ll need to rediscover more stable narratives around which to base our senses of identity and belonging. This is very much on my mind all the time. The imminent AI explosion gives it extra urgency.
-
Exponential difficulty: AI accuracy improvements beyond human baseline
By
–
Once you get pretty accurate, each additional percentage point of accuracy is both exponentially harder to get, and qualitatively different from the human standpoint. Don’t underestimate what they have been able to accomplish yet.
