Thomas Jelonek

founder envision.ai

[じゃがりきん @jagarikin]

動いてない錯視が新たなレベルに到達しました…
このピーポくんたちは動いてないし回転してないし伸縮してないし踊ってません

[Hogarthian Wastrel @yunghogarthian]

This is what Homer was actually like btw

[Thomas Jelonek @thomasjelonek]

@RobSilver Construction industry is one of the largest.

[Thomas Jelonek @thomasjelonek]

@VicinageClause @ArmsControlWonk We have the record of their cabinet meetings. They were very much concerned as Soviet forced successfully invaded the Kuril Islands and Sakhalin Island in August 1945 (still controlled by Russia). The cloest distance between the Kuril Islands and Hokkaido is 10 km.

[Thomas Jelonek @thomasjelonek]

@VicinageClause @ArmsControlWonk The minutes of the Japanese cabinet is available and it is clear that they were far more concerned by the Soviet invasion of Manchuria than American bombing (including the nuclear bombs). Their fear that this would lead to annexation of the northern part of Japan.

[Thomas Jelonek @thomasjelonek]

@Persincc @piersmorgan You can ignore him since he is dead. Killed in a bombing raid.

[Old Canada Series @oldcanadaseries]

The music video for Rick Moranis' "Ipanema Rap" song in 1990

[Thomas Jelonek @thomasjelonek]

@Wana____ FIFA demanded access to Parc Jean-Drapeau, the venue for the Formula 1 events.

[Thomas Jelonek @thomasjelonek]

@FriedgeHNIC @mndamico Wasn’t Joe Juneau 24 y.o. when he joined the Bruins out of college?

[Old Canada Series @oldcanadaseries]

CBC "Late Night" Intro in the 1980s

[Thrilla the Gorilla @ThrillaRilla369]

To be truly fluent in English,
you must know your shits

Dogshit: Very poor quality
Bullshit: Not true
Horseshit: Nonsense
Apeshit: Rambunctious
Batshit: Insane
Chickenshit: Cowards
Ratshit: Poor quality
No shit: Obviously
Holy shit: Unbelievable
Hot shit: Very good
Dipshit: Total dumbass
Tuff shit: Take it or leave it.
Jack shit: Nothing
The shit: Perfection

[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.

[Physics & Astronomy Zone @zone_astronomy]

The highest quality video of the moon was just released… this is so beautiful.

[Thomas Jelonek @thomasjelonek]

@Smithdanj @tylercowen I am surprised that neither Adam Smith nor Ricardo is on this list.

[Thomas Jelonek @thomasjelonek]

@LUC_Etobicoke @CraigBaird Correct but it is spelt “Schmiergeld”

[Thomas Jelonek @thomasjelonek]

@CraigBaird What about John C. Munro Hamilton International Airport ?

[Sebastian Raschka @rasbt]

I (finally) put together a new LLM Architecture Gallery that collects the architecture figures all in one place!
https://t.co/NO7z6XSRHS

[Joseph Viviano @josephdviviano]

me: "can you use whatever resources you like, and python, to generate a short 'youtube poop' video and render it using ffmpeg ? can you put more of a personal spin on it? it should express what it's like to be a LLM"

claude opus 4.6:

[Massimo @Rainmaker1973]

This is called the the bulging checkerboard illusion.

[Thomas Jelonek @thomasjelonek]

@WillSloanEsq @redroomrantings Also directors like Denis Villeneuve and Jean-Marc Vallée were making excellent films in Canada before major success in Hollywood.