David

[International Cyber Digest @IntCyberDigest]

‼️ BREAKING: Journalists hid an Airtag in a rare book shipment and confirmed Amazon to be one of the buyers behind the bulk orders destroying rare-books to feed their AI.

They tracked it to Amazon's LAS8 warehouse in Las Vegas, home to VGT3 (see logo below), a scanning operation feeding Amazon's AI training data, where workers say they cut the bindings off books to scan them faster.

Amazon won't say why the books are destroyed.

[beetle moses @beetlemoses]

I’ll come across reposted beetle moses comics I straight up forgot I drew

[Movies Scenes 🎫 @SceneinCinema]

Robert Pattinson says Warner Bros. caught him stealing socks from the set of The Batman and eventually warned him to stop.

“It’s impossible to take anything home from it. I did get a lot of socks. All of my socks are all from Batman.”

“I kept getting told by Warner Bros., ‘You know, it’s fine to have a few, but you take them every day. How many socks do you need? Because we’ve been shooting for a year.’”

Over the course of filming, he reportedly collected around 156 pairs. Pattinson later clarified that many of the pairs he took were actually "penguin socks," not bat socks, though he insisted it wasn’t an intentional joke about The Penguin.

[James Pugh @Jamesyp42]

It was absolutely hilarious to record btw. I had tears in my eyes.

[Cymorg @CyMorgComics]

They hate to see a boss ass witch winning.

[Jason the Cartoon Fan 🍉 @JasonSt77097165]

All the non-Sesame Street Muppet productions have “cooldown sections” filled to the brim with unhinged interactions, all done in-character.

If you want an especially wild example of such sessions, here’s one recorded during a filming session for Bear in the Big Blue House:

[Queen Liza🩷🤍💙 @KrystalWolfyAlt]

hes him

[Nancy Comics by Ernie Bushmiller @JohnnyCallicutt]

Nancy By Ernie Bushmiller
April 12,1947

[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.

[This-Barbie-Be-Cooking @Vishi_Divine]

SO YOU PUT THIS BULLSHIT ON OUR COMPUTERS FOR NO REASON???????

[Dexerto @Dexerto]

The iconic “this is democracy manifest” meme has now been preserved in Australia's National Film and Sound Archive

“What is the charge? Eating a meal? A succulent Chinese meal”

[Tom Zohar @TomZohar]

Not her having her hand all up in his Olafussy

[Kerrcarr 🌘🟡🌘🌘 (🔴)🌘 🟡🌘🌘🌘 @Kerrcarr01]

Your laughing, Admiral Ackbar’s uncle just got killed by the Chud laser and your laughing

[Rathbone @_rathbone]

Netanyahu is so obsessed with being Hitler he wants to die in Berlin.

[The Act Man @TheActMan_YT]

Steam has over 132 Million monthly active users, now imagine if every user was asked to submit their ID and scan their face in order to access their game library.

Imagine how much data could be harvested from that userbase.

That is the real reason why Valve is being sued.

[actual heathcliff comics @RealHeathcliffs]

19 Feb 2026