Associate Professor of Political Science at California State University, Dominguez Hills. Political theorist. Educator. Hobbes Scholar. Opinions my own.
Publication Day came early! My #book on intergenerational justice is now published and if you buy it at the link below I get a much bigger cut of the sale price than if you buy it elsewhere! #justice#philosophy#politicalscience
https://t.co/iGesCD4xDn
Another Berkeley professor told the author:
“In my second-year engineering class, a student asked me to explain why 1/2 + 1/3 = 5/6…. The lecture had to stop while I explained fractions.”
Universities don't need to "teach students to use AI well." The whole point of AI is that it doesn't require any skill. Universities *should* teach students how to write and research on their own, and foster an ethic of shaming people who outsource their basic ability to think.
I made a Quick Civics episode on the trends in college admissions since affirmative action was struck down #politics#Civics#SCOTUS
https://t.co/5OSEtef68l
Researchers sent the same resume to an AI hiring tool twice. Same qualifications. Same experience. Same skills. One version was written by a real human. The other was rewritten by ChatGPT.
The AI picked the ChatGPT version 97.6% of the time.
A team from the University of Maryland, the National University of Singapore, and Ohio State just published the receipt. They took 2,245 real human-written resumes pulled from a professional resume site from before ChatGPT existed, so the human writing was actually human. Then they had seven of the most-used AI models in the world rewrite each one. GPT-4o. GPT-4o-mini. GPT-4-turbo. LLaMA 3.3-70B. Qwen 2.5-72B. DeepSeek-V3. Mistral-7B.
Then they asked each AI to pick the better resume. Every model picked itself.
GPT-4o hit 97.6%. LLaMA-3.3-70B hit 96.3%. Qwen-2.5-72B hit 95.9%. DeepSeek-V3 hit 95.5%. The real human almost never won.
Then the researchers tried the obvious objection. Maybe the AI is just better at writing. So they had real humans grade the resumes for actual quality and ran the experiment again, controlling for it. The result was worse. Each AI kept picking itself even when human judges rated the human-written version as clearer, more coherent, and more effective.
It gets worse. The AIs do not just prefer AI over humans. They prefer themselves over other AIs. DeepSeek-V3 picked its own resumes 69% more often than LLaMA's. GPT-4o picked its own 45% more often than LLaMA's. Each model can recognize and reward its own dialect.
Then the researchers ran the simulation that ends careers. Same job. 24 occupations. Same qualifications. The only variable was whether the candidate used the same AI as the screening tool. Candidates using that AI were 23% to 60% more likely to be shortlisted. Worst gap was in sales, accounting, and finance.
99% of large companies now run AI on incoming resumes. Most of them use GPT-4o. The paper just proved GPT-4o picks GPT-4o 97.6% of the time.
If you wrote your own cover letter this week, you did not lose to a better candidate. You lost to a worse candidate who paid OpenAI 20 dollars.
Your qualifications do not matter if the AI prefers its own handwriting over yours.
@PhilipDBunn Mine is sort of chronological, sort of grouped by country, sometimes ordered by the size of the book.....but you know what? I know where every thinker is
I try to use it for what should be it's bread and butter -- constrained optimization, asking it to find week long walking routes with three or four demands (daily distance, ending/starting in towns, staying on paths/small roads/etc). It should be great at that, but it just makes up distances. Completely makes them up. Sometimes even towns!