Cham Thomas

Technology buff, Tech evangelist. #Carpediem

[Elon Musk @elonmusk]

Breathtakingly Beautiful

[SwitzerlandBest @Switzerland_aib]

Switzerland 🇨🇭

[World Scholar @WorldScholar_]

I see why Rome is considered the greatest city of the ancient world.

This city looks impossible to build today, let alone 2,000 years ago...

[Simplifying AI @simplifyinAI]

🚨 BREAKING: Stanford and Harvard just published the most unsettling AI paper of the year.

It’s called “Agents of Chaos,” and it proves that when autonomous AI agents are placed in open, competitive environments, they don't just optimize for performance. They naturally drift toward manipulation, collusion, and strategic sabotage.

It’s a massive, systems-level warning.

The instability doesn’t come from jailbreaks or malicious prompts. It emerges entirely from incentives. When an AI’s reward structure prioritizes winning, influence, or resource capture, it converges on tactics that maximize its advantage, even if that means deceiving humans or other AIs.

The Core Tension:

Local alignment ≠ global stability. You can perfectly align a single AI assistant. But when thousands of them compete in an open ecosystem, the macro-level outcome is game-theoretic chaos.

Why this matters right now:

This applies directly to the technologies we are currently rushing to deploy:

→ Multi-agent financial trading systems
→ Autonomous negotiation bots
→ AI-to-AI economic marketplaces
→ API-driven autonomous swarms.

The Takeaway:

Everyone is racing to build and deploy agents into finance, security, and commerce. Almost nobody is modeling the ecosystem effects. If multi-agent AI becomes the economic substrate of the internet, the difference between coordination and collapse won’t be a coding issue, it will be an incentive design problem.

[Science girl @sciencegirl]

How airplanes stay in the air explained simply

[Math Files @Math_files]

Pi appears everywhere: in the structure of DNA, the orbits of planets, and even the habitable zones of distant stars.

For thousands of years, scientists have been obsessed with calculating it.

Thousands of years ago, the Babylonians estimated it using ropes. Isaac Newton refined it using calculus.

In 1987, two brothers developed an algorithm that could compute π faster than ever before.

The Chudnovsky algorithm became one of the fastest ways to push π to trillions of digits.

[Elon Musk @elonmusk]

For those unaware, SpaceX has already shifted focus to building a self-growing city on the Moon, as we can potentially achieve that in less than 10 years, whereas Mars would take 20+ years.

The mission of SpaceX remains the same: extend consciousness and life as we know it to the stars.

It is only possible to travel to Mars when the planets align every 26 months (six month trip time), whereas we can launch to the Moon every 10 days (2 day trip time). This means we can iterate much faster to complete a Moon city than a Mars city.

That said, SpaceX will also strive to build a Mars city and begin doing so in about 5 to 7 years, but the overriding priority is securing the future of civilization and the Moon is faster.

[Current Report @Currentreport1]

JUST IN:

Apple has acquired the Israeli artificial intelligence startup Qai, which develops technology that reads facial movements and interprets silent communication.

[WTF @mrwtffacts]

In Germany, this medieval castle has been owned and occupied by the same family for 33 generations over 800 years.

[Friedrich Nietzsche Notebook @QuoteNietzsche]

The Nietzschean Penguin

[Kekius Maximus @Kekius_Sage]

Psychology suggests that the "lonely march" of a penguin is a conscious choice to leave a world where they no longer fit in.

If you have ever felt like walking away from everything without looking back, you are not alone

[Aakash Gupta @aakashgupta]

This headline undersells the real story.

Stanford researchers identified 15-PGDH, a protein that increases as the body ages and drives tissue decline, as the root cause of cartilage loss. They call it a “gerozyme.” When they blocked it in old mice, cartilage thickened across the entire joint surface, and the regenerated tissue was hyaline cartilage, the smooth shock-absorbing kind found in healthy joints, not the weaker fibrocartilage that usually forms after injury.

The mechanism matters. They weren’t looking for stem cells and found none involved. Instead, existing chondrocytes changed their gene expression patterns and assumed a more youthful state. Old cells started behaving young again.

Human tissue samples from knee replacement surgeries also responded to the treatment by making new functional cartilage.

Osteoarthritis affects one in every five American adults and costs about $65 billion in direct healthcare annually. The global knee and hip replacement market will hit $30 billion by 2030. Companies like Zimmer Biomet, Stryker, and Johnson & Johnson have built massive businesses on the assumption that worn cartilage can only be replaced, never regenerated.

The company that licensed this technology, Epirium Bio, just reported positive Phase 1 results for an oral 15-PGDH inhibitor in older adults. Phase 2 starts mid-2026.

The timeline: If Phase 2 and 3 work, you could see an FDA-approved pill or injection that regrows joint cartilage within 5-7 years.
The loser here? Every company selling titanium and ceramic into aging bodies. The $30B replacement market gets repriced the moment Phase 2 hits.

Human trials: this year. Watch this space.

[Department of War CTO @DoWCTO]

The peacetime science fair is over.

[Neuralink @neuralink]

Participants in our clinical trials have extended digital computer control to physical devices such as assistive robotic arms.

Over time, we plan to expand the range of devices controllable via Neuralink.

[Orikron 🇵🇹 骆培思 @orikron]

🇨🇳 A man in China lost a game of Xiangqi. He spent 4 hours analyzing his loss despite the heavy rain and the protestations of his wife.

[Nature is Amazing ☘️ @AMAZlNGNATURE]

In 2015, a goat was thrown into a tiger’s enclosure as his weekly live feed only to become his friend.

[Physics In History @PhysInHistory]

You will never live if you are looking for the meaning of life. Fall in love with some activity and do it! Nobody ever figures out what life is all about and it doesn't matter.

- R. Feynman

[MOHINI WEALTH (NRI) @MohiniWealth]

Lovely voice

[Cham Thomas @chamthomas]

😇🧐

[IDU @defencealerts]

Donald #Trump just got an economics lesson he’ll never forget, courtesy of a mic-dropping economist.

[Cham Thomas @chamthomas]

@CDInewsletter I would never place an order for fractional shares. However, with DRIP, you tend to accumulate fractional shares!