Cloud repatriation

Almost all of my Java software was run on the cloud* but I have not used Java for a long time now. I've run BASIC in the cloud a tiny bit but I'm not using cloud computing at all for Python, C/C++, Prolog, or Lisp programs. 

* from a Windows PC.

Sensor packs

 The sensor pack for use on one of my Asa H AI robots.* (I think that having several packs that are smaller than this** is probably best.)

* See, for example, my blogs of 8 January 2018, 1 October 2015, and 4 September 2024.

** On multiple robots.

AI race?

I don't believe that there is only one way to build an intelligent system* and that it will be ideal for all applications/specialties. So I don't think that there is a race that will have a single "winner." In discussing "space races" I have noted issues that I have with "crash programs".**

Also, the first way that is discovered that is capable of doing something is frequently not the way that will prove best in the long run. An example would be DC electric power distribution being replaced by AC.

Is all this hype*** needed to fund AI research? It's diverting resources away from other equally important AI work.

* or one architecture or one set of hardware

** See my blog of 21 October 2024.  

*** lies

Mars colonization

The purpose of life is to survive and spread so it makes sense to colonize Mars. But this can involve mechanical life, it need not involve human life. 

LLMs today

LLMs currently are a system for learning* large complex functions from example data**. Currently those functions do not represent very long temporal sequences.*** They are also extremely energy inefficient.****

* approximating

** The data should really be cleaned, curated, and presented in the right order.

*** i.e., there is limited short term memory. This somewhat limits the tasks these LLMs are good for. But, again, different architectures are good for different tasks/specialties.

**** this is a rather brute force approach