I recently designed a PCB for a custom built 3D printer for a tenth of the cost (fab + assembly) of a board of similar complexity I made nearly a decade ago and the final cost of the 3d printer (based on an open source design) was a 20th of the price of the Stratasys Dimension Elite I purchased, also a decade ago. One of my next projects is to make a DIY semiconductor fab using just TI DLP micromirrors and a microscope because I want to experiment with DIY bio microfluidics - all based on technology and knowledge so common that it has trickled down to the hobbyist level. We've now got people building electron microscopes and genetically modifying organisms in their garages!
The robots I've worked with in clinical diagnostics are much more advanced now than they were a decade ago and are now cheap enough for the average lab. The metrology instruments and machining tools necessary to make high precision parts have become commonplace at manufacturers, factory automation robotics like 6-DoF arms have trickled down to the researcher and hobbyist level in the last 5 years, and agriculture is currently going through it's n-th revolution with software, remote sensing, and data science.
Every time I leave an industry for a few years and come back, the pace of change is staggering - it's just hidden behind the iron curtain.
Definitely something I need to keep thinking about. Biology probably is the next area to see some giant advances like physics did 80 years ago.
It seems like AI has settled into making discriminators. Maybe intelligence really is just pattern matching and grouping? I don't think it is, but I could be wrong.
To your broader point, it's not hard to find some specific domains of machine learning where there have been huge advances. But zoom out and look at the broader picture and the results aren't so impressive.
The question is: will the potential be fullfiled.
Maybe, given the many startups doing real work with machine learning(besides the many that just hype), it's reasonable to guess that that the potential Will be fullfiled.
After finishing the book it made me feel like progress has slowed tremendously. Look at the changes from 1960 to 1970 or from 1970 to 1980 and compare that to 2010 to 2020. The last decade produced lots of incremental improvements but where are the giant technological shifts?
I was born in 1970 and if I look back over my life, the giant change was going from a non-networked world to a networked world. I think it's similar to how my grand parents could remember the world before and after commercial flight or how my great-grandmother remembered the arrival of automobiles.
I wonder what it is my kids will point to 40 years from now. A colony on the moon or Mars maybe?