Olivia
Online
Me and the boys pulling up to FIFA HQ to file the Balogun appeal
I’m going to engrave a “People have varied preferences” sign for my desk.
@conorsen Unless, like, whole metro areas collapsed and become ghost towns. It just doesn’t seem true — people have varied preferences.
@conorsen Unless, like, whole metro areas collapsed and become ghost towns. It just doesn’t seem true — people have varied preferences.
Who to follow
Kentucky Chamber Foundation 
@KyChamberFdn
The Kentucky Chamber Foundation’s purpose is to unlock the power of business, accelerate solutions, and build opportunity in Kentucky.
Killian Timoney
@KyKillian
Husband and Father, Christian Servant, Educator, Candidate for KY House of Representatives (45th). Isaiah 1:17
Mardi Montgomery
@MontgomeryMardi
Retired; Tweets are mine.
Can the USMNT Lineup B beat Turkey-A?
It’s true
If Kentucky and West Virginia played every day we would not be able to handle it.
These games are absurdly insane and equally entertaining.
AI and HR are a tough mix, simultaneously critical and useless. In my hiring, the ultimate hire is almost always a personal recommendation even with whatever good resumes and candidates we engage with in the process.
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.
AI and HR are a tough mix, simultaneously critical and useless. In my hiring, the ultimate hire is almost always a personal recommendation even with whatever good resumes and candidates we engage with in the process.
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.
This is cool
This is the story. The roster worked in 24-25. Have to make it work next season.
Disappointing end to a disappointing season.
Injuries suck & there were some issues throughout the season — but the biggest problem was roster construction in Spring 2025.
Gotta get it right from now to April.
Hoya Paranoia!
In more rural areas of the country the American Job Centers can only afford an ever-shrinking handful of career services staff. The demands of outreach to job seekers and employers and for accountability for the funds demands a minimum threshold of staff and we are barely there
We used to spend a lot of money on getting unemployed people into jobs and we've been spending less every year (outside of the pandemic push). https://t.co/lKItOxuKuM
Big basketball news!
Shall we basketball?
You forgot to mention, that you couldn't remember your password for 20 minutes and we had to use your wife’s login!
I also encourage reading the story to find out which office Geoff Young is running for this year
Pazzo’s was so good
Remembering some of the gone but not forgotten restaurants of Lexington. Which one do you miss most?
https://t.co/z7BWu5HvvD
@danbayens Good work dad
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