Teod Cabili

Mr. Kilay Always on Fleek. :)

[Teod Cabili @teody_16]

Magpapaka boomer muna ako saglit, pero iba tlga pagka taklesa ng mga younger gens? Like magtatanong ng mga bagay sa instructors nila na looks “harmless” at first glance, pero parang nakakawalang “respeto” pa la in hindsight?

[Teod Cabili @teody_16]

Ako lang ba pero di nagloload ng maayos messenger ko?

[G @Given06yt]

Bored so I made a stereotype map of Metro Manila based on its rail stations

[​𝐥𝐲𝐫𝐚 @sunnkssdseraph]

Breakups in your 30s hit differently. It's not the same as heartbreak at 21. At 21, you cry, vent to friends, go out, distract yourself, and somehow you heal. Back then, life felt long, full of possibilities, what ifs, and( second chances). But in your late 20s or as you approach your 30s, it feels different. You are not only losing a person. You are losing plans, routines, and the version of yourself that was building a future with them.

[Teod Cabili @teody_16]

@ampmars The chun li jowk. Gets ko na HAHAHAHA

[Teod Cabili @teody_16]

Qouta na ako sa giving gifts for the wrong people.

[Nav Toor @heynavtoor]

A student submitted an essay she wrote by hand. Her university ran it through an AI detector. The detector said she cheated. She is autistic.

Her name is Moira Olmsted. Adelphi University. February 2026. Turnitin flagged her essay as 100% AI-generated. She was disciplined.

Two other AI detectors classified the same essay as human-written.

She sued. She won. The court called the school's decision "arbitrary and capricious."

She is not the only one.

In May 2026, a high school student in Palo Alto was expelled after an AI detector flagged his work. He faced visa revocation. He filed a federal civil rights lawsuit.

A researcher at Griffith University just proved mathematically why this keeps happening. The paper is on arXiv. The finding is one sentence.

AI text detectors have a structural flaw that no amount of better engineering can fix.

Here is what the math says.

If a university wants its detector to catch 80% of cheaters, at least 750 out of every 10,000 innocent students will be wrongly accused. That is not a software problem. It is a theorem.

If the university tries to limit false accusations to 1%, detection power collapses to 6%. It catches 6 out of every 100 AI-written papers. The other 94 get through.

There is no setting where the detector is both fair and effective.

The reason is diversity. Every student writes differently. Non-native English speakers use simpler vocabulary. Shorter sentences. Clearer structures. So does AI. A Stanford study found that 61.3% of TOEFL essays written by non-native English speakers were misclassified as AI-generated. A separate analysis tested 14 commercial detection tools. Zero out of 14 reached 80% accuracy.

The students most likely to be wrongly accused are non-native English speakers, neurodivergent students, and anyone who writes with clarity and precision. The qualities that make their writing effective are the same qualities the detector mistakes for a machine.

Vanderbilt University understood this. They disabled Turnitin's AI detection in 2023 after calculating that even a 1% error rate across 75,000 submissions would produce 750 wrongful accusations per year.

750 students accused of cheating for writing like themselves.

The paper's conclusion is not that we need better detectors. It is that the diversity of human writing itself makes accurate detection mathematically impossible.

The same thing that makes your writing yours is the thing that gets you accused.

https://t.co/L91ldtXP05

[​𝐥𝐲𝐫𝐚 @sunnkssdseraph]

According to psychology, the urge to immediately fix a partner’s or friend’s distress instead of just sitting with them in it isn't empathy; it is your own low frustration tolerance. When someone you love is hurting, and you instantly jump into problem-solving mode, offering unsolicited advice or trying to find a silver lining, you are often trying to soothe your own secondary anxiety. You aren't rescuing them from their pain; you are rescuing yourself from the discomfort of witnessing a vulnerability you don't know how to hold.

[Teod Cabili @teody_16]

Alala ko pa sa first corporate job ko. Was made to wait for 2-3hrs. Apparently naglunch out pa kasi yung mag iinterview sa akin. 🙄🙄🙄

[ABS-CBN News @ABSCBNNews]

NAG-A-APPLY KA BA NG TRABAHO?

Ni-#ReelsTalk ng HR expert na si Crissy Rollan ang mga nag-a-apply ng trabaho. Ito aniya ang ibig sabihin ng pagiging "on time."

[y2k @y2kpopart]

David Archuleta performing "Crush" during Pride concert in NY

[Teod Cabili @teody_16]

Still cant post stories kainis

[Teod Cabili @teody_16]

CALLED IT!!!!!

[@pauloinmanila and 99 others @pauloMDtweets]

Ang insensitive talaga nila no?

[Teod Cabili @teody_16]

Watching mgi all stars now. Shuts baka maluluto pacto ng vietnam ang OA ng fan voting nila

[Teod Cabili @teody_16]

Lol double time mga online trolls ngayon sa FB.

[Ralph | 🫨 @heyralphhey]

I super appreciate FEATR in terms if introducing and reintroducing food anthropology to its viewers pero baka pwede namang mga hindi puro laking aircon ‘yung members ng team. We need anak ng may-ari ng karinderya, laking kusina sa lola sa probinsya, mga ganung perspective sana.

[Teod Cabili @teody_16]

BAT LAHAT NG BANKING APPS TODAYS OFFLINE HAHAHAHAH

[Teod Cabili @teody_16]

Teh. Bakit sya pinahost.

[bo’ha @heyboha_]

am i too woke??

[Simon Maechling @simonmaechling]

Now that everyone is an expert on curing pancreatic cancer in mice, not rats - I want to add some context that goes beyond the headline.
You will want to read this.

Cancer is cured in mice all the time.
Thousands of times. ~90% of those “cures” fail in humans.

Why?
Because mice are:
Genetically simpler.
Treated earlier.
Short-lived.
Not humans.

Mice are a filter - not a finish line.

Yes, this study matters. It comes from the Spanish National Cancer Research Centre.

Yes, it’s pancreatic cancer - one of the deadliest there is. Yes, full tumor regression is impressive.

But here’s what it actually means:
“This approach is now good enough to risk years, trials, and millions of euros on.”
Not:
“Cancer is solved.”

What happens next?
More animal work.
Toxicology.
Phase I (safety).
Phase II (maybe works).
Phase III (beats standard care?).

Maybe 8-10 years if everything goes right.

The real damage isn’t failed drugs.
It’s failed expectations.

Every “cured cancer in mice” headline trains the public to believe:
Cures are being hidden.
Progress should be fast.
Scientists are lying when reality hits.

That’s how trust erodes.

Bottom line:
This is how real cancer progress looks.
Messy. Slow. Risky. Incremental.

Not miracles.
Not conspiracies.
Just science - doing the hard work.