My split is currently 10% traditional “retirement target date” 20% small cap US and 70% International Index. All Vanguard. There are also emerging market and more granular international funds. Talk to your servicer.
I’m staunchly anti-genAI but consider other applications of traditional machine-learning less problematic. A purely local model for photo categorization seems, in theory, less objectionable to me. I’m sure models exist already but I’m purposefully out of the loop. Any suggestions for models I could look into? And just how much compute would something like that require?
Classic Killdozer