GPT-3, LaMDA, and ChatGPT

In my 28 January 2013 blog I pointed out that Siri did not have all of the functionality that I would want a machine intelligence to have.* Most importantly, it had no value system.** I would level the same criticisms of ChatGPT, GPT-3, and the like. Not to say that I don't find them interesting and useful.

* See, for example, my blog of 29 September 2010.

** I have argued that how intelligent a creature can be depends upon how good a value system it has. See for example my, Science Is Not Value Free, Trans. Kansas Acad. Sci., vol. 119, no. 2, pg. 249, 2016. One such value system is shown in my blog of 21 September 2010.

Hacking toys, climbing stairs

Various research groups* have used toys as robotics hardware platforms in order to cut costs. I bought a "Tiger Twister stunt vehicle" (Speed Well International Industrial Ltd.) because it is supposed to be able to climb stairs and is large enough to carry a Raspberry Pi single board computer. I find that the Tiger Twister does (for the first time) give me a limited stair climbing capability** provided that the stairs are not too slippery.

* For example: Hogg, Martin, and Resnick, Braitenberg Creatures, MIT Media Lab, E&L Memo report #13, June 1991. Connell, Creature Design with the Subsumption Architecture, International Joint Conference on Artificial Intelligence, pg 1124, August 1987. Dawson, Dupuis, and Wilson, From Bricks to Brains, UBCPress, May 2010. my blog of 8 Jan. 2018.

** There are LEGO robot designs that also have limited stair climbing capability.

A.s.a. observation

Occasionally an input vector* will fall into two different categories/classes. These categories may trigger different responses/outputs. This is relevant to the idea/experience of "free will."**

* This can be the "input" to any level in the A.s.a. H. hierarchy. It need not be the input on the bottom most layer, i.e. the sensory input from the environment.

** See, for example, my blogs of 8 July 2011 and 21 Jan. 2015.

Intentions

Some of the cases in A.s.a. H.'s case based hierarchical memory include actions (occurring at one time step or another). During the course of operation when such a case becomes activated any such future ("planned") action becomes one of A.s.a. H.'s intentions.