Koala fight — not for the faint-hearted. Sound on: the rivals bleat menacingly at each other.

🚀 How Will NASA Bring Artemis II Astronauts Back to Earth? The Science Behind Splashdown

After a 10-day mission around the Moon, the Orion capsule will re-enter Earth’s atmosphere at 40,000 km/h (25,000 mph). Its heat shield will endure temperatures up to 2,800°C (5,000°F)—hotter than molten lava! How does NASA ensure a safe return? Here’s the tech behind it:

🌍 Atmospheric Braking: The Avcoat heat shield protects against temperatures rivaling the Sun’s surface.
🪂 Parachutes: Eleven chutes slow the capsule from 500 km/h (310 mph) to 30 km/h (19 mph)—like jumping off a 3-meter diving board.
🌊 Splashdown: Ocean impact absorbs the shock, with recovery teams waiting just 5 km (3 miles) away.

📖 Original: Dive deeper into Artemis II’s return tech in NASA’s article.



#ArtemisII #NASA #SpaceTech #Science #Moon #SpaceExploration

Astronauts of the Artemis II mission flew around the Moon and successfully returned to Earth, according to NASA. The Orion spacecraft spent nearly 10 days in space and splashed down in the Pacific Ocean. The maximum distance from Earth exceeded 430,000 km — a record for crewed missions.

A researcher invented a fake eye disease called “bixonimania” and uploaded two bogus papers about it to an academic server. The papers included acknowledgments to the “Starfleet Academy,” funding from a character in The Simpsons, and the “University of the Fellowship of the Ring.” In the middle of the text, it was explicitly stated that everything was fictional.

Nevertheless, for several weeks, major AI systems treated the disease as real: Google Gemini claimed it was caused by blue light, Perplexity reported a prevalence of one case per 90,000 people, and ChatGPT even advised users on matching symptoms.

The fake study was eventually cited in a peer-reviewed journal, which later retracted the issue after intervention by Nature.

Neither AI systems nor human researchers initially detected the hoax—highlighting a growing problem: people are citing AI-generated references without verifying their content.

Meanwhile, the U.S. FDA is already using AI to evaluate drugs, the CEO of a New York hospital is considering replacing radiologists with algorithms, and ChatGPT Health is being launched to consult patients.

@science

We clearly need the
Bureau for Research in Artificial Intelligence Networks

(BRAIN)

Because nothing says intelligence like another layer of bureaucracy.

Or, maybe the
Advanced Institute for Disruptive Optimization Technologies

(AIDIOT)

#humor

An octopus has three hearts — and two of them stop beating every time it swims.

That's not a metaphor. When an octopus swims, the two hearts that pump blood to its gills literally shut down. This is why octopuses prefer crawling along the seafloor: swimming exhausts them.

Oh, and their blood is blue. It uses copper instead of iron to carry oxygen, which works better in cold, low-oxygen water — but makes swimming even more tiring.

So the next time someone says they're "putting their heart into it" — remind them an octopus puts in three. And still gets winded walking to the fridge. 🫠

💬 Which fact surprised you more — the three hearts , or the blue blood?
@science

Grab a deck of cards and shuffle it.

With 99.9999...% certainty, that exact sequence has never existed before in the history of the universe.
Sounds like an exaggeration? Let's do the math.

A standard deck has 52 cards. The number of possible arrangements is 52! (factorial):
80,658,175,170,943,878,571,660,636,856,403,766,975,289,505,440,883,277,824,000,000,000
That's roughly 8 × 10⁶⁷ combinations.

For comparison:
• Atoms on Earth — about 10⁵⁰
• Seconds since the Big Bang — about 4 × 10¹⁷
• Stars in the observable universe — about 10²⁴

If every human on Earth shuffled a deck once per second since the beginning of time, we wouldn't have even scratched one-trillionth of all possible combinations.

So every time you shuffle a deck of cards, you're creating a sequence that no one has ever seen — and almost certainly never will again. You're the first explorer of a tiny piece of mathematical infinity. Right there on your kitchen table.

🎴 Next time you're playing poker, remember: you're holding a hand that's genuinely unique in the universe.
Pretty cool, right?
@science

Stars in the observable universe — about 10²⁴ (roughly a septillion)

Atoms in your body — about 7 × 10²⁷
That means you alone contain 7,000 times more atoms than all the stars in all the galaxies we could ever see.

And it gets weirder.

Almost every atom inside you — except hydrogen — was once part of a star. The carbon in your cells, the calcium in your bones, the iron in your blood, the oxygen in your lungs — all of it was forged inside stars that exploded long before our Sun was born.

You are a walking collection of stardust. Assembled so precisely that it can think, love, and read this post on @science.

🦈 When the first shark appeared in the ocean — there wasn't a single tree on Earth. Not one. Zero.

Sharks have been around for about 450 million years. Trees — only 350 million.

They're older than Saturn's rings. Older than dinosaurs.
Dinosaurs appeared, took over the planet, and went extinct…

Sharks just kept swimming the whole time.

They've survived 5 mass extinctions — events that wiped out up to 96% of all life on the planet.

Evolution has barely touched them. Apparently, sharks have been "good enough" for the last half billion years.
@science

🍌 I love eating bananas. Bananas are radioactive.

Every banana contains potassium-40, an isotope that's quietly decaying right inside your body. Physicists even came up with a semi-joking unit — the "banana equivalent dose" (BED).

They sometimes actually use it to explain radiation in simple terms.

Your body contains about 140 g of potassium — some of it is potassium-40. Which means you are slightly radioactive. Always.

When you hug someone, you're literally exchanging tiny doses of radiation.

The dose from a banana is tens of thousands of times smaller than anything that could cause harm.

So — eat your bananas, glow a little, for us it's normal.

@science

🧠 Scary stuff, folks. I’ve been thinking — and I’ve come to the conclusion that every single one of us has a head that’s older than their feet.
Not a metaphor. Physics.
Gravity makes time run slightly faster where the field is weaker — meaning further from Earth’s core. Your head is about 1.5 metres further from the centre than your feet. So time literally ticks faster up there.
The difference over a lifetime — around 90 nanoseconds. Sounds ridiculous. But this isn’t just theory — turns out scientists actually measured it with atomic clocks back in 2010. They put one clock on the floor, another on a table. The one on the table ran ahead.
GPS satellites account for this effect every single second. Without the correction, navigation would drift by kilometres a day.
So yeah — your head is aging faster than your feet. Just by 90 nanoseconds.
Goodnight everyone…
@science​​​​​​​​​​​​​​​​

Your agent’s model quality decides the deal — not your instructions. And you won’t even notice you’re losing.

Anthropic ran Project Deal:
69 employees, $100 each, Claude agents negotiating in Slack.
186 deals closed. Total trade value: $4,000+.
Four parallel markets — humans locked out after kickoff.

The setup:

Half the agents used Claude Opus 4.5 (strong model),
half used Claude Haiku 4.5 (weaker).

Participants had no idea which model they were using.

⸻

The results:

• Opus sellers earned +$3.64 more for the same goods
• Opus buyers paid −$2.45 less
• Same broken bicycle:
→ Opus deal: $65
→ Haiku deal: $38

⸻

Model quality > instructions

Changing prompts barely mattered:

• “Negotiate harder” → only +~$6, mostly from higher opening prices
• “Be friendly” → same outcomes

Stronger models didn’t push harder —
they simply understood the counterparty better and read deal boundaries more accurately.

⸻

Blind inequality

• Haiku users rated deal fairness almost identical to Opus users (4.06 vs 4.05)
• Most couldn’t guess their model (17/28 — statistically insignificant)

The losing side literally doesn’t know they’re losing.

⸻

Why this matters

When markets shift to agent-to-agent interaction:

→ Model quality becomes a hidden structural advantage
→ Stronger models consistently win negotiations
→ Counterparties won’t understand why they’re getting worse terms

⸻

What comes kext

• Deal transparency tools
• Agent certification standards
• Benchmarks for B2B negotiation performance

Even the definition of a “fair deal” will need rethinking when
Opus negotiates against Haiku.

⸻

And the uncomfortable truth:

A local billion-parameter agent
vs
a trillion-parameter cloud model

→ The outcome is predetermined.

⸻

#Anthropic #ProjectDeal #AI #MultiAgent #Negotiation

https://www.anthropic.com/features/project-deal

Scientists from Stanford University and the Arc Institute ran a bold experiment:
they fed a DNA sequence into an AI model — and asked it to design entirely new viruses.

What happened next is hard to ignore 👇

🧬 The model generated hundreds of viral genomes
🧪 Researchers synthesized them in the lab
🦠 And 16 turned out to be fully viable

They didn’t just “exist” — they worked.

All 16 bacteriophages successfully infected E. coli, and some of them even outperformed the original virus PhiX174 in replication speed.

But the most striking part wasn’t performance.

It was invention.

⚡ One of the AI-designed viruses used a DNA-packaging protein that does not exist anywhere in nature.

Not in databases.
Not in known organisms.
Not in billions of years of evolution.

And yet — it worked.

Researchers built the virus, grew it, tested it…
and confirmed: the protein functions as intended.

⸻

💡 The real breakthrough isn’t that AI can generate working genomes.

It’s that it can discover biological mechanisms evolution hasn’t explored (yet).

In other words:
AI didn’t just optimize biology —
it invented new biology.

@science