Paul Q

Donald Trump is making major changes that will ban colleges from the Federal Student Loan Program and all federal financial aid if the programs at that college don't pass the earnings test “They are putting together a new earnings threshold test that says Bachelor degree program graduates have to earn more than the median high school graduate in your state 4 years after graduation. And when it comes to grad school programs, they have to earn more than bachelor's degree graduates for that same type of field in that state within 4 years after their graduate school program. If the school program fails this test for 2 years in a row, they will lose access to federal Fi, federal student loans. And if more than 50% of the school's programs fail this test, they lose access to all types of federal financial aid programs.” Here’s what that really means Colleges can no longer have programs that do not deliver positive financial outcomes for their graduates The goal is to stop federal taxpayer subsidies via loans and grants for programs that leave graduates financially worse off or no better than if they had skipped college This is common sense legislation and a huge win for everyone

At 140,000 homeless individuals that math produces $11.4 billion annually, roughly 9% of NYC's entire budget. The homeless population grew 78% since 2019. Spending on the unsheltered subset grew 262% over the same period. The $81,705 is not housing. A median income household spends roughly $28,000 to $29,000 on housing, about 35% of gross income. The city's per-person homeless spend is 287% above what a self-sufficient household pays for shelter alone. The difference is 24/7 institutional staffing, security, meal service, healthcare, case management, and administrative overhead layered on top of the bed cost. The unsheltered 3% cost even more at roughly $87,600 per person, suggesting street homelessness drives marginal cost inflation through emergency medical interventions and intensive outreach despite being a small fraction of the total. Permanent supportive housing costs approximately $25,000 per year in operating subsidies versus $81,705 in shelter. The city is spending 3.3 times more to warehouse people in temporary shelter than to house them permanently. That arithmetic is why the cost curve accelerates. The system is optimized for crisis response, not resolution.

Young data center electricians in Texas are earning $240K–$280K/year with zero college debt.

Jensen Huang just told every college student on Earth the one thing that determines whether they get hired. It is not their GPA. It is not their degree. It is not their internship. Huang: “If I have a choice between two, I would hire the one who’s expert in using AI.” He did not say prefer. He said hire. One gets the job. One does not. The only variable is whether you learned to use the machine. Then he went down the list. Accountant. Hire the one who uses AI. Lawyer. Hire the one who uses AI. Marketing. Supply chain. Sales. Customer service. Every function. Same answer. The person who can command the model does not have an edge. They are the only candidate in the room. Everyone else is applying for a job that no longer exists. Huang: “If you’re a carpenter, if you’re an electrician, go use AI. If I were a farmer, I would absolutely use AI.” That line should demolish every assumption about who this technology is for. This is not a Silicon Valley tool for software engineers. This is infrastructure for anyone who builds anything with their hands or their head. A farmer who uses AI to optimize soil, predict weather, and manage yields is not competing with other farmers. They are operating at a level that used to take an entire department. An electrician who uses AI to model loads, simulate wiring, and quote jobs in seconds does not compete with other electricians. They compete with firms. One person with the model replaces the output of a team without it. That is not a prediction. That is Tuesday. Huang: “Every college student should graduate and be an expert in AI.” Not familiar with it. Not aware of it. Expert. The university system is still training students to execute the work. The market already moved. It wants the person who directs the machine that executes it. Four years of tuition. Thousands of hours of lectures. And if you walk out the door without mastering the one tool that redefines every industry you could enter, you burned all of it. Huang: “I want to see what it could do to elevate my job, so that I could be the innovator to revolutionize this industry myself.” That is the part most people miss. AI does not replace ambition. It multiplies it. The carpenter who learns the model does not lose their craft. They scale it. The pharmacist who learns the model does not become redundant. They become dangerous. One person. Deep skill. Full command of the machine. That used to be called a company. The question is no longer what do you know. It is what can you build with the machine that knows everything. And the people who cannot answer that are not falling behind. They already fell.