Barely Here. if you know me, find me.

#DCorNothing | #NT | 06TTGB | Still @MadDapr & OG @StyleBarker

[Barely Here. if you know me, find me. @NTIHER06]

In 2025, I’m not arguing with people Eli Pope would tear up with a monologue.

[Barely Here. if you know me, find me. @NTIHER06]

@tommiedotjpg I ain’t ever seen a stronger argument for making bammas stay in college 2 years.

[Barely Here. if you know me, find me. @NTIHER06]

*first bar of mob ties*

[Barely Here. if you know me, find me. @NTIHER06]

@tommiedotjpg Bruh lmao

[Nav Toor @heynavtoor]

Stanford researchers proved you are not being rejected by 10 companies. You are being rejected by one algorithm 10 times.

Your score is stored for 330 days. Every company that uses the same vendor sees the same number. They call it the algorithmic blackball.

Researchers at Stanford HAI, Chapman University, and Northeastern University published the largest audit of AI hiring algorithms ever conducted.

The paper is called "Algorithmic Monocultures in Hiring." Published at FAccT 2026, May 26. The data came from Pymetrics, the AI hiring platform used by major Fortune 100 companies.

Here is what they found.

When you apply for a job at a company that uses Pymetrics, you play a series of assessment games. Your scores are stored. For up to 330 days. If another company also uses Pymetrics, your application is evaluated using the same stored scores. You are not getting two separate evaluations. You are getting the same score twice.

If the algorithm rejects you once, it rejects you everywhere.

The researchers call this the "algorithmic blackball." One bad score locks you out of every company that shares the same vendor. You never find out why. You never get a second chance. You just stop hearing back.

They ran a large-scale simulation using real applicant data. The result: over 40,000 job advances were lost because applicants who would have succeeded at one company were screened out by an algorithm calibrated for a different one.

Then they measured who gets hit hardest.

25.87% of Black applicants were routed into algorithmically discriminatory hiring processes. 14.74% of Asian applicants. These are not hypothetical projections. These are rates measured in deployed, real-world hiring systems used by some of the largest employers on earth.

The same algorithm. Applied across companies. Producing the same racial disparities at every one of them.

This is already in the courts. Mobley v. Workday is a federal class-action lawsuit alleging that AI hiring tools systematically discriminate against older, Black, and disabled applicants. The case is ongoing.

In Europe, the EU AI Act classifies hiring algorithms as high-risk AI systems by default. Compliance requirements take effect August 2, 2026. Weeks away.

In the United States, there is no equivalent federal law.

The researchers make four recommendations. Measure adverse impact at the position level. Strengthen cross-employer surveillance. Monitor risks from algorithmic concentration. Create legal pathways for independent researchers to access hiring data.

The last one carries an implicit warning. This study was only possible because Pymetrics voluntarily shared its data. Most vendors would prefer their algorithms remain opaque.

The next time you apply for a job and never hear back, the rejection may not have come from a human. It may have come from a score you received 330 days ago, at a company you have already forgotten, for a role that had nothing to do with the one you just applied to.

[Barely Here. if you know me, find me. @NTIHER06]

I just went 82-0, think you can go 82-0? https://t.co/OgMZxLJv8V #NBA #82and0

[Barely Here. if you know me, find me. @NTIHER06]

Look who’s stepped out to celebrate Pride Month.

[Lindsey Graham @LindseyGrahamSC]

Looking forward to the fights.

Happy birthday, @POTUS!

#UFCWhiteHouse

[Barely Here. if you know me, find me. @NTIHER06]

So far, the Knicks are up 3-1 while basically losing each first quarter.

If they had shot well at all this series in Q1? Lol

[Suppressed News. @SuppressedNws1]

WOW.

AlJazeera just dropped a ONE HOUR documentary about ISRAEL’s CRIMES against the PALESTINIANS.

This is very HARD TO WATCH.

[Peter Rosenberg @Rosenbergradio]

Nahhh this crazy

[Tune, MBA, CISSP @CartuneNetwerk]

@DJRTistic Drake’s appeal to a lot of his male fanbase is he was the “nerd” that became extremely popular. So threats to his image can feel super personal. They’re not merely defending him, they’re defending an aspirational version of themselves.

[Barely Here. if you know me, find me. @NTIHER06]

Lmao yall just be saying stuff.

[Yuki🇬🇧 @I_Am_Eucheria]

@jiggyjayy2 @Darasimich Unlike men, many women need both emotional connection and a skilled partner to reach orgasm. So it is not just physical, it is mental too.

[Barely Here. if you know me, find me. @NTIHER06]

That feels insane considering I’m a full-time husband, work in my career field full time and a full time PhD student.

[Barely Here. if you know me, find me. @NTIHER06]

I really look up some days trying to figure out how the fuck did I get here and where am I going…

[Barely Here. if you know me, find me. @NTIHER06]

@acatnamedgoose

[Barely Here. if you know me, find me. @NTIHER06]

@theBKbelle Yes she is. From personal experience. The light ain’t on.

[Barely Here. if you know me, find me. @NTIHER06]

This really some poor nigga shit. Why the fuck you putting liquor out in public if you don’t want people to partake cause “manners?”

Shit lame as hell.

[Music is Life @ArtOfMusic_]

The proper etiquette for choosing your alcohol selection when offered a drink 😂

[Bark @barkmeta]

Let me explain what a $2 billion “cow collar” actually is 👇

They put an AI collar on a cow. It tracks location. Health. Movement. Behavior. Every second of every day.

A farmer opens an app. Draws a line on a map. That line becomes a fence.
No physical fence. No wall. Nothing visible.

When the cow gets close to the boundary.. the collar vibrates. The cow turns around. Within 10 days the animal doesn’t even test the boundary anymore. It just stays inside.

700,000 animals are already wearing them.

They called it a “cowgorithm.” They want you to laugh at it.

Now read the technology again without the word cow..

24/7 GPS tracking on every individual. Real time health and behavior monitoring. Invisible boundaries drawn from a phone. Movement controlled through vibration and sound. Subject learns compliance within days.

$2 billion. And guess who led the investment…

Peter Thiel. The same man who built Palantir. CIA backed surveillance from day one. The same man who just got a $10 billion Pentagon contract to run AI inside the military.

His entire career is building systems that track and control. Now he’s funding a collar that does exactly that.

They’re not investing in farming. The farming is the test…

Most people have no idea what’s coming…

[Renee @PettyLupone]

Well that’s really fucking interesting.

[Steve Shultz @elijahliststeve]

Why are the 37 just-rescued Children in Riverside, CA.. not a story that is all over national news. Why is the media afraid to shout this from the mountaintops???