This is Alexandr Wang.
Meta put $14.3B on the table just to get him in the building.
Dropped out of MIT at 19.
Turned Scale AI into the data layer every major lab actually used.
Youngest self-made billionaire at 25.
Now Chief AI Officer, shipped Muse, and Meta’s market cap jumped ~$200B in a couple of weeks.
Showed up to the keynote in a deer camo tee and matching Crocs.
Results don’t care what you wear.
Watching Anthropic drop Opus 5.5 and OpenAI answer with GPT-6 Sol/Luna within hours is pure frontier theater. Both cheaper, both stronger on agents and coding. The real story isn’t the models - it’s how fast the cost curve is collapsing while capability keeps climbing.
Open-weight models just tied the latest frontier release on a major intelligence index. The gap is narrowing faster than most roadmaps assumed. For founders, the real leverage is no longer exclusive access—it’s knowing which model to route to for the task, and owning the evaluation loop yourself.
Russia’s crude: China ~50%, India ~37%, Turkey ~6%, EU ~6%.
Washington just armed itself with 100% tariffs on countries that keep buying Russian oil.
You don't pick a fight with China. Turkey and the EU are NATO.
So who is this actually built to hit?
I will let you figure out
🚨 GST officer, Bengaluru edition:
Officer: I can close this case.
Taxpayer: How?
Officer: ₹20 lakh.
Taxpayer: Bhai, festival offer?
Officer: Okay. ₹8 lakh. Final. No GST on this one.
Lokayukta: Surprise inspection. Camera rolling. Cash counted. Career discounted.
CGST Superintendent + middleman arrested after the “special settlement scheme” went live on camera.
India’s unofficial tax: first you pay GST, then you pay the officer to forget you paid GST.
Most people lose because they stop the moment it gets awkward.
If you can eat 20 straight losses, look like an idiot in front of people whose opinion actually matters to you, and keep showing up after the easy part is over - you will outlast almost everyone.
Talent is optional. Persistence after embarrassment is not.
USA has ChatGPT.
USA has Claude.
USA has Gemini.
USA has Grok.
USA has Llama.
USA has Muse.
China has DeepSeek.
China has Qwen.
China has Kimi.
China has GLM.
China has Hunyuan.
The AI race isn’t two labs anymore. It’s two ecosystems.
MBA aspirants: before you sink 2 years and serious money into a B-school, talk to its founder alumni.
When you build from scratch, that campus should be the first place you turn for support. If they don’t show up for the people who actually start things, the place isn’t worth it.
Harvard and Stanford didn’t become “billionaire colleges” because of brochures. They became aspirational because of the alumni legacy they still stand behind.
IISc’s Dr. Prathosh A. P. told his class he may be redundant in 5 years.
Not because students stopped learning. Because the lecture is now a button.
If knowledge is a commodity, the classroom isn’t competing with another professor. It’s competing with ChatGPT at 2 a.m.
The question isn’t “will teachers survive?” It���s “what is a teacher for, once facts are free?”
Farmers got PM-KISAN. Women got Ladli Behen.
8 LPA techies got a $100/month Claude bill that’s 15% of salary and a rupee that won’t sit still.
They are still waiting for Pradhan Mantri Ladla Techie Labh Yojana.
Until then, prompt responsibly. Every token is rent.
BRICS GDP per capita (nominal): 🇷🇺 $18.5k 🇨🇳 $14.9k 🇧🇷 $12.3k 🇿🇦 $7.5k 🇮🇳 $2.8k
“What went wrong with India?”
A $4T economy divided by 1.4 billion people is not a flex. It’s the receipt for decades of low productivity, too few formal jobs, weak schooling, and a state that celebrates scale more than living standards.
Growth rate ≠ living standard. India is still poor per person. That’s the plot.
Nifty down ~3.2% since the 7.8% Q1 GDP print (Aug 31).
From 24,176 → 23,398. Most sessions since then closed red.
Real GDP: 7.8%. Nominal: only 10.3%. GVA: 8.2%. Investment +11.9%. Manufacturing +9.2%.
So why no cheer?
• FIIs sold ~$24.6 bn of Indian stocks in 2026
• Nifty YTD: −8 to −9%. KOSPI +55%, Taiwan +60%, Nikkei +25–31%
• Brent ~$108. India imports ~85% of its oil
• US 10Y near 5%. Risk-off, dollar strength, rupee pressure
• Large-cap earnings & Nifty composition (banks, IT, FMCG) lagging the GDP headline
• Markets price next quarters, not last quarter — oil + geopolitics still hanging over FY27
GDP tells you how fast India grew. The market is asking what that growth will do to corporate profits if crude stays triple-digit and foreign money keeps leaving.
Two IIT Bombay CS roommates. Hostel 6. Zero money. Class of 2006.
Ritesh Arora and Nakul Aggarwal did not walk out of IIT into a unicorn.
They failed first. Took jobs. Tried again. Failed again.
In 2011 they built BrowserStack because testing a website across browsers was hell. They bootstrapped for years. Then the world used it - Google, Amazon, Microsoft.
2021: $4 billion valuation.
2025: they pledged ₹100 crore to rebuild the exact hostel they once shared.
Not a lucky batch. Not a 25-startup myth. Two friends who stayed long enough to buy the building back.
The degree gets you in the room. Grit rebuilds the hostel.
Anthropic just modeled what happens in US if AI actually takes off.
Their extreme 2030 case:
US GDP: +32.4%
Annual growth: ~15%
Knowledge worker wages: down 10%+
Capital's share of income: 40% to 54.8%
The economy gets richer. The people who built it get poorer.
That is not a prediction. That is a model they felt was worth building.
The lesson for every founder raising right now: price the round on unit economics you can defend in 2029, not the multiple the market will pay today. The correction always comes. Better it lands as a markdown than a bankruptcy filing.
Unacademy just sold for about 200 million dollars. Everyone's headline: 94 percent below its 2021 peak of 3.4 billion. True. But that is not the number that matters here.