Got surprised the second time around regarding the progress of AI these days.

The first shock was the advent of LLM spearheaded by ChatGPT and now with the recent announcement during NVIDIA GTC Keynote 2026 which introduced a new engineering paradigm approach to developing physical devices which is now coined as Physical AI.

I need to get back to studies but not formal anymore since the BSEE and BSCpE programs are either not keeping pace with the developments in Physical AI or that they are still far from MIT-OCW approach and quality.

My plan for a defense company will have to embrace the Physical AI and surprisingly, MIT has evolved their EE curriculum closer to Cyber Physical Systems which is the nature of Physical AI.

In this regard, is a big shift and a return to STEM studies but this time self-study and using the mapped courses of MIT to MIT-OCW both in course 6-5 which is Electrical Engineering with Computing and course 8 which is Physics.

That means I will have to put to the back burner the self-study in theoretical physics for now using the books of Susskind, Morse & Feshbach, Jeffrey and Jeffreys, and that of Watler Thirring. Prioritizing engineering physics for now with course 8 from MIT mapped to MIT-OCW.

Everything is aligning specially that I have decided to pull a team from my comrades in the PMC training to start our very own PMC aligned with the modern nature of PMC these days which blurs with a defense tech company.

We are not only going to provide both tactical and technical security, together with risk management services but also logistics, and systems which includes autonomous ones.