SSM

[Iran Embassy in Zimbabwe @IRANinZIMBABWE]

We are concerned about the people of France.

[SSM @Singbomb]

@AnthonyKie33775 @Donor_Cowling @gcooney93 Ye same thing was said when Trump said “quiet piggy” to the Bloomberg reporter.

[SSM @Singbomb]

@M_Dorgan @foxnewspolitics @FNCGlobalNews @FoxNews @fiannafailparty @MichealMartinTD You’re an immigrant in the US you clown. You should be deported yourself 😂

[Iran in Ghana @IRAN_GHANA]

Dear Ireland,

At a time when global diplomacy went offside, your National Team stayed on target. Just pure Irish defiance — and the scoreboard to prove it.

We are therefore filing a formal application to strike a medal in your honour — and ours.
A shamrock on one side. A Persian cypress on the other. Different roots. Same stand.

Iran and Ireland may be a few thousand kilometres apart, but apparently we share a few things: a hospitality that borders on coercion, an ancient grudge against bullies — and tea strong enough to fuel both.

[SSM @Singbomb]

@Donor_Cowling Agreed. Vile

[Conor Emerson @ConorEmerson]

If Bazunu takes out the Israelis and the FAI in the one go we are in statue territory.

[Alex Veremeyenko @alex_verem]

Researchers at Oxford argue that LLMs can't invent anything.

It's impossible mathematically.

The paper is called "Theory Is All You Need."

Teppo Felin and Matthias Holweg take the famous "Attention Is All You Need" title and flip it. Their argument is that AI predicts from the past, while humans reason forward into the future, and those are two different kinds of thinking.

Start with the numbers. The authors estimate a large language model trains on roughly 13 trillion tokens. A human reading at 150 words a minute would need about 164,000 years to get through that. A child hears around 20,000 words a day and roughly 36.5 million words in their first five years. It's the same task with wildly different data, and the child still ends up with language that goes far beyond anything they heard.

Their point is that the model learns which words tend to follow other words. It becomes a mirror of what people have already written. It doesn't build a theory of how the world works, so it can't step outside its training data.

The paper's sharpest thought experiment makes this painful. Imagine an LLM trained in 1633 on every scientific text ever written up to that point. Ask it about Galileo and heliocentrism. Thousands of years of geocentric texts would swamp Galileo's ideas, so the model would tell you he's wrong. It would also rate Tycho Brahe's astrology as more credible than the idea that the Earth moves, because more people had written about astrology.

Then there's flight. In 1888 the scientist Joseph LeConte looked at bird data, noted that no bird above 50 pounds could fly, and concluded humans couldn't either. Lord Kelvin, then president of the Royal Society, said he had not the smallest molecule of faith in aerial navigation.

The New York Times estimated in 1903 that flight was one to ten million years away.

Nine weeks later the Wright brothers flew.

The Wrights didn't have better data. They had a theory. They broke flight into three problems, lift, propulsion, and steering, built their own wind tunnels, and generated the data that didn't exist yet.

Wilbur wrote in 1900 that he had been "afflicted with the belief that flight is possible to man."

Every prediction machine on Earth would have told him no.

The authors call this the data belief asymmetry. Every real breakthrough starts with someone believing something the existing data says is wrong. A system trained to minimize surprise can't do that by design.

They're not anti AI. They say AI will win at routine, repetitive decisions that extrapolate from the past, which is most decisions. They're just pushing back on the idea that you should replace humans with algorithms whenever possible, which is a direct quote from Kahneman.

I use these models every day and this matches what I see. The new stuff comes from the human at the keyboard who decides the data is wrong.

LLMs don't think, you do!

[Iran Embassy SA @IraninSA]

What happened to US pilot according to him 2nd version. 😂🤣

[Middle East Observer @ME_Observer_]

⚡️ Two explosions heard in the Strait of Hormuz now.

[Iran in Ghana @IRAN_GHANA]

The captured US robotic tuna is currently giving a TED Talk in our lab.
It reportedly began by saying: "I was told dozens of times that the Iranian Navy is gone, so how the hell did they catch me?"

[SSM @Singbomb]

@sama You Sam, are the biggest thief that has ever walked on this planet.

[Mel @Villgecrazylady]

Oh my heart. God bless them.

And Lord have mercy on us 😔

[SSM @Singbomb]

@sama Why do you always type in lower case? Are you 15? You’re the CEO of a pretty large operation, typing in lower case doesn’t make you hip.

[Middle East Observer @ME_Observer_]

GCC countries are not Arab they're American

[SSM @Singbomb]

@CNN Let me fix it for you:
“Large language model that’s just a matrix of numbers found the most optimal way to accomplish a task”

[SSM @Singbomb]

@Sober_Colm @punishablepress Ok so you’re willing to hand it back?

[Masoud Pezeshkian @drpezeshkian]

موفقیت تیم ملی فوتبال اسپانیا و کسب عنوان قهرمانی جام جهانی در کمال شایستگی را به ملت و دولت این کشور تبریک می‌گویم.
شادمانی ملت و دولت دوست اسپانیا شادمانی ملت و دولت ایران است.

[𝓙𝓲𝓶𝓶𝔂 𝓙 @JimmyJ4thewin]

🚨A Muslim kiosk worker in Utah was stabbed more than 15 times by a man who later told police he attacked him “because of his religion.”

Heroic bystanders tackled the attacker, pinned him down, and wrestled the knife from his hand until police arrived.

🎥 @anadoluajansi

[SSM @Singbomb]

Whoever in @netflix thinks the theme startup sound was a good idea should be sacked immediately. It’s so annoying that I’m actually considering ending my subscription. Get a grip Netflix. No one wants a loud bang at the start of launching your app.