After 5 years of my own cognition/AI research, in 2002 I started actually 
experimenting with various implementations of an early AGI engine (with a team 
of about 10 full-time staff, and incidentally the same year that Shane Legg, 
Ben Goertzel and I coined the term ‘AGI’). 

 

Our original prototype was a virtual mouse learning to get around a virtual 
environment. After about a year or so we decided that a virtual dog would be a 
better model; soon after that, a virtual child going through Piagetian 
development stages. 

Finally we decided that we could make best progress by concentrating on 
adult-level understanding, learning, and conversation – i.e. a personal 
assistant. We’ve been pursuing that model ever since then and still believe it 
is the fasted path to AGI. By 2008 we launched commercially, by automating call 
center calls: intelligently. www.AmsrtAction.ai <http://www.AmsrtAction.ai>  
now about 100 staff. 

 

Because commercial efforts can easily fall into the ‘Narrow AI Trap’ I exited 6 
years ago to form www.Aigo.ai <http://www.Aigo.ai>  – and have been 
concentrating on just cranking up ‘IQ’ (again with a team of about 12 full-time 
staff). The key bottleneck is people resources to teach, train, and further 
improve our intelligence engine -- not theory, performance, or hardware.

The reason I tell this story, is mainly to say that I don’t think an 
evolutionary approach – staring with low life – is the best way to go.



 

 

https://medium.com/intuitionmachine/what-is-agi-99cdb671c88e 

 

 

From: [email protected] <[email protected]> 
Sent: Sunday, June 30, 2019 1:01 PM
To: AGI <[email protected]>
Subject: [agi] Re: computer science vs cognitive science 

 

"AGI check" list make a good starting point for discussion on what AGI should 
be, in terms of my AGI theory 

compared to yours.

 

 Nice sold statement on your part. 

 

 I am working on pre AGI. That is, how a mind and brain would evolve into A 
conscious AGI brain along

with its own psychology development.

 

Evolution would start at insect level. Then to lizard brain, that is a hundred 
insect brains, units working

in parallel. Then on two rodent brain, hundred lizard brains. Then on to 
primate brain. All simulated 

on computer. 

 

 

 

 

 

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