You can add location information to your Tweets, such as your city or precise location, from the web and via third-party applications. You always have the option to delete your Tweet location history. Learn more
Because I believe that current supercomputers are actually sufficient for human level AGI, I entertain the (<1%) possibility that there is already one running in a secret lab somewhere. The capital is easily available to hundreds of organizations, but that mode of development \
If there is one, there is more than one, because you need orders of magnitude less computing power to run an AI than to train one.
I don't think that applies to an AGI. It has to be able to learn, aka retrain itself.
We're also forgetting storage limits here. How much does it learn? If it learns a Google Data Centre amount of things, it would be hard for it to spread. However, if you have the money to build an AGI you probably have the money to store everything too.
humans are not good at keeping secrets, and I think that given the volume of people needed for sucha project, the info that AGI exists would have leaked quickly
it’s slightly odd to think of it as one or more than one. A bit like saying is there one pdf or two pdfs while referring to the same pdf content
Not necessarily if they are the same backbone AI + instance-specific special finetuning on top. There the PDF metaphor breaks
That makes my emphasize the point that our natural GI is being trained and running simultanously, on the same device. A slow process, though, that could be more kickstarted. But a real AGI also had to actually learn while it's running.
Given enough time, any AI that doesn't do continuous learning will become dumb. The I in AI is as much in the learning and adapting to every new environment as in the instant capabilities.
Agreed. Surely an AGIN would be permanently in reinforcement learning mode?
Sir Roger Penrose shows that human thinking is not algorithmic, hence computers can't lead to AGI - in his many books and work - eg in The Emperors New Mind.
Absolutely
Twitter may be over capacity or experiencing a momentary hiccup. Try again or visit Twitter Status for more information.
