Walead Abdrabouh

pronounced: ab-da-rah-boo

Community Advocate | @SJ_Forward | @AtlanticDems | AI & IT Enthusiast | @Mets/@NYJets Fanatic | Jersey, born and bred

[Walead Abdrabouh @WaleadNJ]

As we desperately seek order in our moments of disorder, consider a quote often attributed to Confucius

"Attack the evil that is within yourself, rather than attacking the evil that is in others"

Only then will we accomplish the change we seek

[Walead Abdrabouh @WaleadNJ]

I'm not a Yankees fan, but I listened to many Yankees games over the years. John Sterling was a joy to listen to, and his passing brings an end to an incredible chapter in Yankees baseball

[WFAN Sports Radio @WFAN660]

We are devastated to hear about the passing of John Sterling, a WFAN and Yankees radio icon whose voice was synonymous with an entire generation of Yankee fandom.

Rest in peace, John ❤️

[Walead Abdrabouh @WaleadNJ]

The findings in this paper completely destroy the "intelligence" part of artificial intelligence

[Nav Toor @heynavtoor]

🚨SHOCKING: Apple just proved that AI models cannot do math. Not advanced math. Grade school math. The kind a 10-year-old solves.

And the way they proved it is devastating.

Apple researchers took the most popular math benchmark in AI — GSM8K, a set of grade-school math problems — and made one change. They swapped the numbers. Same problem. Same logic. Same steps. Different numbers.

Every model's performance dropped. Every single one. 25 state-of-the-art models tested.

But that wasn't the real experiment.

The real experiment broke everything.

They added one sentence to a math problem. One sentence that is completely irrelevant to the answer. It has nothing to do with the math. A human would read it and ignore it instantly.

Here's the actual example from the paper:

"Oliver picks 44 kiwis on Friday. Then he picks 58 kiwis on Saturday. On Sunday, he picks double the number of kiwis he did on Friday, but five of them were a bit smaller than average. How many kiwis does Oliver have?"

The correct answer is 190. The size of the kiwis has nothing to do with the count.

A 10-year-old would ignore "five of them were a bit smaller" because it's obviously irrelevant. It doesn't change how many kiwis there are.

But o1-mini, OpenAI's reasoning model, subtracted 5. It got 185.

Llama did the same thing. Subtracted 5. Got 185.

They didn't reason through the problem. They saw the number 5, saw a sentence that sounded like it mattered, and blindly turned it into a subtraction.

The models do not understand what subtraction means. They see a pattern that looks like subtraction and apply it. That is all.

Apple tested this across all models. They call the dataset "GSM-NoOp" — as in, the added clause is a no-operation. It does nothing. It changes nothing.

The results are catastrophic.

Phi-3-mini dropped over 65%. More than half of its "math ability" vanished from one irrelevant sentence.

GPT-4o dropped from 94.9% to 63.1%.

o1-mini dropped from 94.5% to 66.0%.

o1-preview, OpenAI's most advanced reasoning model at the time, dropped from 92.7% to 77.4%.

Even giving the models 8 examples of the exact same question beforehand, with the correct solution shown each time, barely helped. The models still fell for the irrelevant clause.

This means it's not a prompting problem. It's not a context problem. It's structural.

The Apple researchers also found that models convert words into math operations without understanding what those words mean. They see the word "discount" and multiply. They see a number near the word "smaller" and subtract. Regardless of whether it makes any sense.

The paper's exact words: "current LLMs are not capable of genuine logical reasoning; instead, they attempt to replicate the reasoning steps observed in their training data."

And: "LLMs likely perform a form of probabilistic pattern-matching and searching to find closest seen data during training without proper understanding of concepts."

They also tested what happens when you increase the number of steps in a problem. Performance didn't just decrease. The rate of decrease accelerated. Adding two extra clauses to a problem dropped Gemma2-9b from 84.4% to 41.8%. Phi-3.5-mini from 87.6% to 44.8%. The more thinking required, the more the models collapse.

A real reasoner would slow down and work through it. These models don't slow down. They pattern-match. And when the pattern becomes complex enough, they crash.

This paper was published at ICLR 2025, one of the most prestigious AI conferences in the world.

You are using AI to help you make financial decisions. To check legal documents. To solve problems at work. To help your children with homework. And Apple just proved that the AI is not thinking about any of it. It is pattern matching. And the moment something unexpected shows up in your question, it breaks. It does not tell you it broke. It just quietly gives you the wrong answer with full confidence.

[Walead Abdrabouh @WaleadNJ]

We have a "not a war" war going on, but I guess this was important (and highly necessary) business?

[Adam Schefter @AdamSchefter]

President Donald Trump signed an executive order Friday designed to limit how long athletes can play college sports and how often they can transfer between schools.

More via ESPN’s Dan Murphy:

https://t.co/DUaa0Cw6eR

[Walead Abdrabouh @WaleadNJ]

I greatly support every single person's right to peacefully express their beliefs through protest. I also hope every person protesting today further expresses their beliefs through Get Out The Vote efforts like canvassing and phone banking for campaigns that will bring change

[Anthony Angelozzi @angelozzi_ant]

My Legislative Office Open House was a smashing success! Please reach out if you ever need any assistance 🇺🇸

[Walead Abdrabouh @WaleadNJ]

Thank you to Governor Sherrill and LG Caldwell for inviting me to their Iftar Reception at Drumthwacket yesterday evening

[Walead Abdrabouh @WaleadNJ]

This is something straight out of sci-fi. Simply incredible.... and pretty unbelievable

[Aakash Gupta @aakashgupta]

We’re spending $200B+ a year on data centers to power AI. One company raised $11M, grew human brain cells on a chip, and the cells taught themselves to play a 3D shooter in a week.

Cortical Labs grew 200,000 human neurons on a silicon chip and taught them to play Doom. The cells navigate, target enemies, and fire weapons in real time. Their previous game, Pong, took 18 months on older hardware. Doom took a week. An independent developer with zero biotech experience built the integration using a Python API. The neurons did the rest.

That compression from 18 months to one week tells you everything about where this is going.

Here’s what the “can it run Doom” crowd is missing: each CL1 unit costs $35,000. A full 30-unit server rack draws 850 to 1,000 watts total. Your brain runs on 20 watts. A single GPU cluster training an LLM can draw megawatts. The energy economics of biological compute are orders of magnitude better than silicon, and that gap scales.

The investor list tells you who’s paying attention. Horizons Ventures, Blackbird, and In-Q-Tel, the CIA’s venture arm. In-Q-Tel doesn’t fund science projects. They fund intelligence infrastructure. 115 units started shipping in 2025.

Cortical Labs is now selling “Wetware-as-a-Service” through the Cortical Cloud. Developers can deploy code to living neurons remotely without touching a lab. They’re pricing access at the level of a software subscription while the hardware runs on real human brain cells derived from adult skin and blood samples.

The Doom demo is marketing. The platform play is a bet that biological neurons will eventually outperform silicon at exactly the tasks AI struggles with most: real-time adaptation under uncertainty, learning from minimal data, and processing ambiguity without brute-force compute.

The question was never “can it run Doom.” The question is what happens when it can run everything else.

[Walead Abdrabouh @WaleadNJ]

I’m running to be the next Chair of the Atlantic County Democratic Committee and I'm excited for what lies ahead https://t.co/SAYdwIeMUC

[Walead Abdrabouh @WaleadNJ]

So much for this being the "no new wars" administration...

[Department of War 🇺🇸 @DeptofWar]

OPERATION EPIC FURY 🇺🇸

[Micah Rasmussen @MicahJRasmussen]

Hey @grok, how much has Rep. Van Drew paid notorious ballot harvester Craig Callaway?

[Walead Abdrabouh @WaleadNJ]

The South Jersey economy needs greater diversification. This move was always expected, and the timeline has now been accelerated https://t.co/3kFMEJ9dPE

[Walead Abdrabouh @WaleadNJ]

Peak snowflake energy

[The White House @WhiteHouse]

Tired of the Fake News?

We’ve got the place for you.

Get the FACTS. Track the worst offenders. See the Fake News EXPOSED. 💥👇

📲 https://t.co/BZX1NVe0Jg

[Walead Abdrabouh @WaleadNJ]

Way to go Cedar Creek!! A heck of a season. I'm sure I'll be seeing a few of these young men playing on Saturdays in the near future

[Mike Kinney @MikeKinneyHS]

No. 17 Cedar Creek rolls to the Group 3 state title with a 34-7 victory over No. 7 Old Tappan
@cedar_football @nvotfootball @CCHS_Sports

[Walead Abdrabouh @WaleadNJ]

Not sure how I feel about this

[MLB @MLB]

Mets acquire INF Marcus Semien from the Rangers for OF Brandon Nimmo, per multiple reports including @MLBNetwork insider @JonHeyman.

[Walead Abdrabouh @WaleadNJ]

Gibbs is the best skill player in the NFL and you can't convince me otherwise

[Ari Meirov @MySportsUpdate]

#Lions RB Jahmyr Gibbs today:

- 15 carries
- 219 rushing yards
- 11 catches
- 45 receiving yards
- 3 TDs

Total: 26 touches, 264 yards, 3 TDs 😲

[Walead Abdrabouh @WaleadNJ]

Trump's numbers are so low, he's probably thinking about giving the whole Democratic socialist thing a try

[Pop Base @PopBase]

Donald Trump on Zohran Mamdani following their meeting at the White House:

“I can tell you that some of my views have changed. […] I feel very confident that he can do a very good job. I think he is going to surprise some conservative people actually, and some very liberal people he won’t surprise them because they already like him.”

[Walead Abdrabouh @WaleadNJ]

@ACPressHuba @cedar_football An amazing achievement

[Walead Abdrabouh @WaleadNJ]

When you're really bad at your job or simply don't want to do it, you blame someone else

[Homeland Security @DHSgov]

“Rent is too high!”

There are tens of millions of criminal illegals in our country.

“Groceries cost too much!”

There are tens of millions of criminal illegals in our country.

“There aren’t enough jobs!”

There are tens of millions of criminal illegals in our country.

“Women don’t feel safe walking down the street!”

There are tens of millions of criminal illegals in our country.

“Traffic is terrible!”

There are tens of millions of criminal illegals in our country.

“Healthcare is too expensive!”

There are tens of millions of criminal illegals in our country.

“Welfare spending is through the roof!”

There are tens of millions of criminal illegals in our country.

“I can’t afford a car!”

There are tens of millions of criminal illegals in our country.

“I can’t afford a house!”

There are tens of millions of criminal illegals in our country.

Many problems. A simple answer.

[Walead Abdrabouh @WaleadNJ]

Lots of people raging when they just got fooled. To be fair, though, how many people were actually taught our 1, 2, 3s are called "Arabic numerals"?

[Polymarket @Polymarket]

BREAKING: Zohran Mamdani to require all New York elementary school students to learn Arabic numerals.