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Oct 13 7 tweets 4 min read Read on X
The most powerful rocket ever built launches today.

SpaceX Starship Flight 11 lifts off from Starbase, Texas at 6:15 PM CT. 121m tall, 39 engines, 7,500 tons of thrust—3X Saturn V. This is IFT-11, the final Block 2 test before the even larger V3.

Mission objectives: 13→5 engine landing burn, heat shield stress testing (intentional tile gaps), 8 Starlink deployment sims, in-space Raptor relights.

If successful: launch costs drop from $67M to <$10M per flight. That's 85% cheaper access to space.

Here's the engineering that makes it possible:
STARSHIP: DESIGN & SPECS

Starship is a two-stage monster. Fully stacked: 121 meters tall, 5,000 tons at liftoff.

The skin? 301 stainless steel, just 3-4 millimeters thick—two credit cards stacked. Why steel? It's cheap ($3/kg vs $130 for carbon fiber) and gets stronger when supercooled.

It burns methalox—4,600 tons total. Thrust at liftoff: 7,500 tons—THREE times the Saturn V.

The numbers: 33 Raptor engines on the booster, 6 on the upper stage. 39 engines firing at once. Payload: 150 tons to orbit. Falcon 9 does 22 tons for comparison.Image
RAPTOR ENGINES: MASS-PRODUCING THE IMPOSSIBLE

The Raptor engine uses full-flow staged combustion—the most efficient rocket cycle ever flown. Raptor 3: 30 megapascals chamber pressure, 280 tons of thrust each.

Here's what's insane: SpaceX has built over 1,000 of these by 2025. They're mass-producing rocket engines like cars.

Why methane? You can make it on Mars. CO2 from the atmosphere + hydrogen = methane and oxygen. 95% efficient with solar power. Mars becomes its own gas station.Image
Image
THE HARDEST PROBLEMS

Now the hard parts.

First: the heat shield. 18,000 hexagonal silica tiles protecting the ship during reentry at 1,400 to 1,600 degrees Celsius.

Early flights lost tiles—plasma melted the steel underneath. The fixes? Backup ablative layers, redesigned flaps, and metallic tiles with active cooling. Goal: 100 reuses.

Second: catching a rocket with chopsticks. IFT-5 proved it works. Super Heavy does a boostback burn, reverses course, and those giant mechanical arms just grab it out of the air.Image
THE JOURNEY: FROM EXPLOSIONS TO SUCCESS

The road here has been brutal. IFT-1 in April 2023: giant explosion at staging. IFT-4: first full-duration burns, both stages survived. IFT-5: the booster catch that broke the internet.

Between each flight, they tweak over 1,000 variables. Tile gap sizes. Flap hinge angles. Engine ignition sequences. This is what 'move fast and break things' looks like when you're building rockets.Image
THE ROADMAP: MOON, MARS & BEYOND

The roadmap is aggressive:

2025: Full orbital refueling demonstration
2026: Uncrewed Mars cargo mission and Artemis lunar landing
2028: First crewed Mars landing—aspirational, but that's the goal

And here's why this matters: if Starship works, the cost per kilogram to orbit drops below $100. Right now, Falcon 9—already the cheapest rocket flying—costs $2,700 per kilogram. That's a 27-times improvement.Image
Image
FLIGHT 11: WHAT'S BEING TESTED TODAY

So here we are. Flight 11 is testing a new landing burn configuration, stress-testing the heat shield with intentionally missing tiles, simulating Starlink deployments, and attempting in-space Raptor relights for future Mars transfers.

Starship isn't just a rocket—it's the key that unlocks moon bases, Mars colonies, and our multiplanetary future.

And it's happening... right... NOW.Image

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More from @AskPerplexity

Oct 10
Oct 9, 2025: China's Ministry of Commerce issued Announcements No. 61 & 62, expanding rare earth export controls to 12 of 17 elements and imposing extraterritorial licensing requirements.

This is direct retaliation for U.S. semiconductor export bans announced days earlier.

China controls 70% of global mining, 90% of processing, and 93% of permanent magnet production. Each F-35 requires 417kg of rare earths. China refines 100% of global samarium.

What does this mean for U.S. defense? How will this affect AI data centers? What happens to semiconductor and EV supply chains? Let's dive in:Image
1/12: TIMING IS EVERYTHING

The announcement came days after U.S. expanded chip export bans (Oct 7, targeting ASML/TSMC) and weeks before two critical deadlines:

• 90-day U.S.-China trade truce expires
• Trump-Xi meeting in South Korea

Strategic retaliation designed to maximize Beijing's leverage in upcoming negotiations.
2/12: RARE EARTHS 101

17 elements (lanthanides + yttrium/scandium) critical for high-tech applications—magnets, lasers, semiconductors.

They're not "rare" geologically, but incredibly hard to process:
• Only 0.1-1% concentration in ore
• Creates radioactive byproducts (thorium), driving up environmental and political costs

China dominates via low-cost mining and vertical integration. The Bayan Obo mine alone produces 70% of global light rare earths.Image
Read 13 tweets
Oct 6
2025 Nobel Prize in Medicine: The Immune System's Control Mechanism

The 2025 Nobel Prize in Medicine was announced this morning. Three scientists—Mary Brunkow, Fred Ramsdell, and Shimon Sakaguchi won for their groundbreaking discoveries on peripheral immune tolerance, revealing how the immune system prevents self-attacks that lead to autoimmune diseases.

What are T cells? How did scientists uncover immune cells that suppress others? How does this mechanism ward off autoimmune disorders?

Here’s what they found and why it matters:Image
1/ What Are T Cells?

T cells are a type of white blood cell (lymphocyte) central to the adaptive immune system, which learns and remembers specific threats.

They originate in the bone marrow and mature in the thymus gland (hence "T"), where they learn to distinguish the body's own cells ("self") from foreign invaders ("non-self"), such as viruses, bacteria, or cancer cells. This prevents attacks on healthy tissues.

T cells are essential for targeted, long-term immune protectionImage
2/ The Problem

The immune system needs to attack foreign threats like viruses and bacteria. But it must also avoid attacking the body's own healthy cells. When this system fails, you get autoimmune diseases like type 1 diabetes or multiple sclerosis.

For decades, scientists thought immune tolerance worked through one mechanism: in the thymus, dangerous immune cells are eliminated before they enter circulation. This is called central tolerance.Image
Read 11 tweets
Oct 4
Europe has zero companies left in the global top 25. None. Fifteen years ago, eight European titans held spots on that list.

What happened? And what does it actually mean for Europe’s future? Let’s break down one of the most dramatic shifts in global economic power: Image
1/ Europe in 2000

The European companies that were in the global top 8:

Nokia (mobile phones)
Vodafone (telecom)
Royal Dutch Shell (energy)
BP (energy)
Deutsche Telekom (telecom)

Back then, European companies weren’t just competing—they were defining entire industries. Image
2/ Europe Today

Let's look at the current state of play. Of the world's 25 most valuable companies:

United States: 18 companies (72%)
China: 4 companies (16%)
Taiwan: 2 companies (8%)
Saudi Arabia: 1 company (4%)
Europe: Zero (0%)

Apple alone ($3.8T) is worth more than Europe's top 10 companies combined. Microsoft ($3.8T) exceeds Germany's entire DAX index. Nvidia tops everything at $4.5T.

Europe's biggest? ASML at $400B, ranked 27th. Then SAP ($315B), LVMH ($322B), and Novo Nordisk ($263B).

The gap tells the real story.Image
Read 9 tweets
Oct 2
What if I told you that the internet is about to change forever?

We’re launching Comet Plus—fixing how publishers get paid in the AI era.

How it works will change everything:
Comet Plus gives you premium access to trusted publishers—and pays them fairly.

- When you visit their site and read an article? They get paid.

- When we cite their journalism in an AI answer? They get paid.

- When your Comet Assistant uses their content to help you plan your day? They get paid.
80% goes to publishers. We keep 20% for compute costs. That’s it.

The first revenue model built for the AI era. Image
Read 6 tweets
Oct 1
We just figured out how to transfer ONE TRILLION parameters between GPUs in 1.3 seconds.

That’s a 20x speedup over traditional methods.

Let me show you how we did it:
1/ The Problem

When we’re training massive AI models with reinforcement learning, we need two separate GPU clusters working together: training GPUs that update the model, and inference GPUs that run it.

After every training step, we have to copy all those updated weights from training to inference. For our trillion-parameter Kimi-K2 model, most existing systems take 30 seconds to several MINUTES to do this.

That’s a massive bottleneck.

Our training step might take 5 seconds, but then we’d wait 30 seconds just copying weights. Unacceptable.
2/ The Old Way

Traditional systems funnel everything through one “rank-0” GPU. All training GPUs send to one main GPU, which sends to one inference GPU, which distributes to the rest.

It’s like forcing all mail to go through a single post office. That one connection becomes the bottleneck - limited to about 50 gigabytes per second.

We knew there had to be a better way.
Read 7 tweets
Sep 30
The September 2025 White House dinner wasn't what it seemed.

It was America's emergency response to an existential bottleneck: electricity.

AI data centers use 10x more power than traditional servers. Large training runs consume as much electricity as a small city for months—America's grid can't handle it.

Meanwhile, China operates with 80-100% power reserves vs America's 15%. They generate over 10,000 TWh annually (2.3x the US) and added 429 GW of new capacity in 2024 alone—7.7x faster than America.

How bad is this crisis? Full story below:Image
1/ The Real Agenda: "Getting Your Permits"

During the September 2025 White House dinner, the most revealing moment came in President Trump's opening remarks, when he addressed the elephant in the room—electricity access.

"I know everybody at the table indirectly through reading about you and studying, knowing a lot about your business, actually making it very easy for you in terms of electric capacity and getting it for you, getting your permits."

Trump promised to remove the regulatory and infrastructure barriers, and the tech leaders at that dinner table committed $1.5 trillion:

Meta: $600 billion through 2028
Apple: $600 billion
Google: $250 billion over two years
Microsoft: $80 billion annually

But without electricity, those investments are meaningless.Image
2/ America's AI Infrastructure Crisis: The Scale

The transition from traditional computing to AI represents the most significant infrastructure challenge since electrification began.

Traditional Data centers vs. AI Data centers:
- Traditional server racks: 7-10 kW per rack
- AI computing racks: 30-100+ kW per rack — up to 10x more power density
- Individual AI queries consume 10x more electricity than Google searches

Training AI Models:
- Current AI training runs: Up to 1 gigawatt (equivalent to 8 nuclear reactors)
- 2030 projections: 8 gigawatts per training run — exceeding many national grids

The United States is running out of electricity.
Read 9 tweets

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