Bachelor’s in AI Gold Rush degree program
A college degree is purportedly important preparation for multiple aspects of life. Universities, therefore, require students to take classes that are far beyond their major. Extracurricular activities are encouraged, such as sports, pro-Hamas demonstrations, drinking alcohol (how is that supposed to make immigrants from Gaza feel welcome?), casual sex, theater, etc. Students are forced to take about half the year off because the faculty and staff don’t want to work summers (defined as May through early September), January, or anywhere near various holidays. There is no urgency to earning a degree so why not stretch it out for four years?
What if there were urgency to getting into the workforce? Here’s the company that sold shovels to the crypto miners and now sells shovels to the AI miners (May 23):
It was a lot better to start work at NVIDA in June 2022 than in June 2024. Consider a Stanford graduate who could have finished in 2022, but instead didn’t finish until 2024. He/she/ze/they took Gender and Gender Inequality, Intersectionality: Theory, Methods & Research, and Race and Ethnicity Around the World from Professor Saperstein to round out his/her/zir/their engineering education. Was that worth the $5 million that would have been earned by starting work at NVIDIA in 2022 rather than in 2024 (two years of salary, stock options at $175 instead of at $1000, etc.)?
How about a “Bachelor’s in AI Gold Rush” degree program that would prepare students to build and use LLMs? It would be a 2-year program with no breaks so that people could graduate and start their jobs at OpenAI. There would be no requirement to take comparative victimhood classes (i.e., humanities). There would be no foundational math or science unless directly related to LLM construction (a lot of linear algebra?). There would be no pretense of preparing students for anything other than working at OpenAI or a similar enterprise.
Students will graduate at age 20. What if the AI gold rush is over when they turn 28? (Maybe not because AI turns out to be useless or even over-hyped, but only because the industry matures or the LLMs start building new LLMs all by themselves.) They can go back to college and take all of that “might be useful” foundational stuff that they missed, e.g., back to Harvard to study Queering the South:
(A friend’s daughter actually took the above class; she was most recently living in Harvard’s pro-Hamas encampment.) As a follow-on:
If the 28-year-old made so much money in the AI gold rush that he/she/ze/they wants to “give back” by becoming a school teacher, he/she/ze/they can get a Master’s in Education at Harvard and take “Queering Education”:
By the end of the module, students should be able to: (1) Talk comfortably about queer theory and how it can inform our understanding of schools and schooling; (2) identify specific strategies that educators at various levels might use to support students in negotiating gender and sexuality norms; (3) identify tools that schools can use to build positive, nurturing environments, which open up possibilities for complex gender and sexual identity development; and (4) analyze and evaluate a variety of school practices, curricula, programs, and policies that seek to support healthy gender and sexual identity development for U.S. children and adolescents.
Related:
- “Value of Nvidia jumps by as much as Britain’s most valuable company” (Telegraph via Yahoo): “The US microchip giant Nvidia has gained the entire value of Britain’s biggest listed company in a single day as the artificial intelligence (AI) boom sent shares to a fresh record high. … The one-day gain is more than the entire market value of AstraZeneca, the FTSE 100’s most valuable constituent, which is worth around £192bn. … Its market value of $2.58 trillion now puts it within touching distance of the size of the entire FTSE 100, which is around $2.77 trillion.” (at least the UK is rich in low-skill immigrants and pro-Hamas demonstrations)
- “Nvidia now worth more than all German stocks put together” (Dow Jones)