50 years

 I got my PhD in physics 50 years ago. At that time we thought commercial fusion reactors were "right around the corner." 

Obsolescence

By one count I have 68 small robots and the component parts* for at least 20 more. Some of these are obsolete and others soon will be**. I try to counter this to some degree using reconfigurable designs* but this can increase the costs involved*** and so is not a universal solution.

* For example LEGO, Meccano, Vex IQ, Vex EDR, Raspberry Pis, etc.

** For example LEGO RCX, NXT, Ev3, early Arduinos, etc. The LEGO Technic cables from my RCX Mindstorms sets are actually disintegrating due to age.

*** Hacking toys, for instance, can be cheaper. See my blogs of 1 March and 7 April 2025.

My SCSs

My specialist AIs* are my version of SCSs (Self-Contained Systems**), software AND hardware. With cointelligence some of the specialist agents can even be humans.

* See, as one example, my blog of 1 July 2023.

** See scs-architecture.org

Spacex Starship explosions

It needs to be remembered that Starship is the high risk approach (my blog of 12 August 2021). There will be failures.  

An integrated intelligent traffic management system NOT simple f.s.d.

 The environment needs to be automated too, with roadway navigation beacons, digital traffic signs and signals, smart traffic lights, etc. so as to monitor and then control vehicle traffic.

Infrequent but important

 During neural network training the impact of rarely occurring training examples* can suffer "dilution" as compared to more frequently occurring examples. They can get "averaged out". When such uncommon examples are important* one can/should artificially increase the number of times the ANN/LLM sees these during its training. I.e., frequency of training exposure should be weighted by example importance/value. I've employed this technique since my earliest work with ANNs.

* A key example would be dangerous scenarios during level 5 vehicle autonomy.

One robot's ontology

At a conference someone well versed in g.o.f.a.i. asked me what A.s.a. H.'s ontology was. I answered that it was something like the diagram presented in my blog of 4 September 2024. (Including some nodes/patterns/concepts that may go unnamed.)