If I could relearn mathematics starting from elementary school, I'd get my hands on the AOPS books (Art of Problem Solving) and go through them on my own. They inspired my daughter sufficiently to pursue a math major in college.
Instead of competing with the fresh grads, he should use his age to his advantage. Learn COBOL, and he'll be in-demand by US big banks/financial/insurance companies for the next 100 years.
This is how American higher education gets hallowed out by opportunistic administrators that have carved out high-paying jobs in the non-profit sector.
Likely, this allows both SA and China to reduce their dollar reserve assets, especially since the dollar has been weaponized against Russia and Afghanistan in recent days.
A lot of truth in this: '...young founders are more financially constrained than more experienced ones, leading them to cede upside to investors at a lower price. In other words, younger entrepreneurs may be a better “deal” for investors than more experienced founders.'
Colab is a cheap (free) way to start, though you won't be training very large models for very long (which you shouldn't be doing if you are a beginner). You learn a different set of skills when you put together your own rig and install/maintain the libraries, which is something I recommend everyone to try just go gain an appreciation of devops skills. But that's not a necessary diversion for a beginner (and may needlessly increase the learning curve).
It's not entirely painless for the West, given Russia's key position as supplier of wheat, fertilizer, and natural gas. Inflation will be kicking around for a while (even without trillion dollar stimulus programs) and creating economic distress for most.
This 996 culture also exists in Taiwan (a democracy). Hard-work is a core part of Chinese Confucian philosophy (as is competitiveness). Many of my Chinese & Taiwanese coworkers have told me they emigrated overseas to US and EU just so they can work less (while still working more than everyone else in the company).
While slavery is forced labor, 996 is more about people trying to get ahead. During my wall street days, I elected to work 8 am - 2 am, 7 days a week for subpar pay, all because of future potential rewards. Many of my peers dropped out due to the pressure and didn't stick around for the big payoffs. If you interview them, no doubt they would consider themselves "slave labor."
My daughter is going to love this...but I suspect MIT psets may evolve from solving the questions to devising automated methods (like this) to solve them
Labor costs are probably the major reason why US chip firms went fabless in the past few decades. Chip production in the lower 48 makes rational sense for national security but not necessarily economic sense. The higher labor costs will be passed through to the supply chain ultimately to spendthrift consumers.
Note the comparison to Wall Street investment banking culture, where you work 14+ hrs a day 7 days a week (and you wanted to).
When I was young and desperate for $ to survive (I couldn't even afford a can of Pepsi), I found that I could force myself to learn something I had no interest in or hated but was useful to where I wanted to be. Perhaps you just need the right perspective (desperation works!)
Get a full time job, make friends and treat everyone with respect, work hard and do a kickass job in something essential for the company (that other companies also need), then quit and offer to consult for them. They’re your first client, which builds credibility (and eliminates suspicion you left on less than optimal circumstances). Write a blog and/or volunteer in the local tech community, and you’ll be surprised how many referrals you can get. Also, other ex-employees of the company can be wonderful referrals. Good luck.
Too much effort on racial equality in the admissions process, too little on ensuring success in college, graduation and beyond. My top 10 college was hyper focused on diversity admissions, but the graduation rate of the under represented population was under 50%. Students shifted down due one tier due have a much higher rate of success than students shifted up one tier.
If we want to be serious about equity and equal opportunity, we should focus on eliminating legacy.
This is the best quote I've seen in a while: "Do machine learning like the great engineer you are, not like the great machine learning expert you aren't."