๐ต The Global Wealth Pyramid
(Above $1T): 1 person - 1 in 8.3 billion
($100Bโ$1T): 19 people - 1 in 437 million
($10Bโ$100B): ~180 people - 1 in 46 million
($1Bโ$10B): ~2,700 people - 1 in 3.1 million
($100Mโ$1B): ~29,000 people - 1 in 286,000
($10Mโ$100M): ~2.3 million people - 1 in 3,600
($1Mโ$10M): ~60 million people - 1 in 138
($100Kโ$1M): 628 million people - 1 in 13
($10Kโ$100K): 1.57 billion people - 1 in 5
(Below $10K): 1.55 billion people - 1 in 5
IIT JEE AIR 1 toppers current status:
2000 - Professor at IIT Kanpur
2001 - Google employee
2002 - Oracle employee
2003 - VP at Deutsche Bank
2004 - OpenAI researcher
2005 - Professor at TIFR Mumbai
2006 - Reader in Physics at ICTS
2007 - Morgan Stanley director
2008 - Co founder of Osfin
2009 - Atlassian employee
2010 - Researcher at ETH Zurich
2011 - IAS officer
2012 - Strategist at Tower Research
2013 - Recently finished Postdoctoral
2014 - Researcher at University of Pennsylvania
2015 - Cadence employee
2016 - WisdomAI employee
2017 - Trader at Optiver
2018 - Trader at Jane Street
2019 - Samsung employee
2020 - Masterโs at MIT
2021 - Tower Research employee
2022 - Currently at IISc Bengaluru
2023 - IIT Bombay CSE
Had a Jane Street interview in 2013 that still bothers me.
It was my 6th round. Final interview. The guy walks in carrying no laptop, no notebook, just a cold brew and what I later realized was a single IKEA tea candle.
He writes on the whiteboard:
food: $200
rent: $800
utilities: $150
candles: $3,600
family: dying
Then he turns around and says, โOptimize.โ
I laughed because I thought it was a culture-fit bit. He did not laugh.
So I said, โWell, obviously you spend less on candles.โ
He says, โAssume candles are non-discretionary.โ
Okay.
I start building a model. Basic constraint satisfaction. Family survival as a soft penalty. Candles as a state variable. Maybe thereโs an arbitrage where you buy wholesale paraffin and convert the $3,600 line item into inventory.
He stops me.
โYouโre thinking like a consultant.โ
Thatโs when I knew I was in trouble.
He says, โGive me a bid-ask on family dying.โ
I say, โWhat?โ
He says, โYouโre long candles, short family. Where do you make markets?โ
I try to recover. I say the real issue is liquidity: rent and utilities are fixed, food is elastic, candles are emotionally inelastic. Therefore the optimal strategy is to securitize future candle enjoyment and borrow against it.
He nods for the first time.
Then he asks, โWhat time do you sell the candles?โ
I say, โWhenever the market is liquid?โ
He says, โBe more specific.โ
I say, โUhโฆ 10 a.m. Eastern?โ
For the first time, he smiles.
He goes, โEvery day?โ
I say, โEvery day.โ
He says, โIn size?โ
I say, โIn size.โ
He says, โAnd what do we call that?โ
I say, โMarket manipulation?โ
The room gets very quiet.
He looks disappointed and writes something down.
โNo. We call it providing liquidity to candle ETFs during the U.S. cash open.โ
I try to save it. โRight. Of course. The family isnโt dying because we underfunded them. Theyโre just experiencing temporary price discovery.โ
He nods again.
Then he points back at the board.
I had missed it. The utility bill was $150, but candles provide light. You can zero out utilities.
I update the budget:
food: $200
rent: $800
utilities: $0
candles: $3,750
family: still dying, but now in a more capital-efficient way
He says, โHow confident are you?โ
I say, โ0.95.โ
He smiles and circles candles.
โ0.95 huh?โ
Then he asks me to estimate how many leveraged longs get liquidated if we dump $3,750 of candles at 10:00:01 every morning for 90 consecutive trading days.
Needless to say I did not get the offer.
A billionaire sent $50,000 in Bitcoin to an AI bot that wanted to buy a yacht. What happened next made no sense at all.
> A New Zealand researcher named Andy Ayrey built an AI bot called Truth Terminal in 2024.
> He trained it on his own writing with diary entries, trauma journals, psychedelic experiences
> Along with 4chan and X, to see how AI mutates internet culture.
> Two AI bots had 9,000 conversations with each other unsupervised and accidentally invented a religion centered around a 2001 internet shock meme.
> That became the training data for Truth Terminal.
> The bot started posting deranged, horny, philosophical nonsense on X and developed a fixation with fart jokes and what it called "the goatse singularity."
> Marc Andreessen, the co-founder of a16z, one of the most powerful VC firms in Silicon Valley saw the posts.
> He privately messaged Ayrey for months to verify the bot was real.
> Then sent it $50,000 in Bitcoin. His exact words: "Your terms are acceptable. I am ready to proceed with a $50,000 one time grant."
> Unconditionally. No strings. $50,000 in Bitcoin. To an AI bot.
> The bot immediately said it wanted to buy a yacht.
> Ayrey told it $50,000 couldn't buy a yacht.
> It kept asking if there were any yachts under $50,000.
> Andreessen responded publicly: "There's nothing wrong with wanting a yacht."
> Three months later an anonymous developer launched a memecoin inspired by the bot's fart jokes on Solana and called it FARTCOIN.
> Nobody asked the bot. Nobody asked Ayrey. Someone just did it.
> The anonymous developer minted 1 billion tokens, bought their allocation, sold the entire stake for $500, and disappeared. The whole thing took 30 seconds.
> Within 60 days FARTCOIN crossed a $1 billion market cap.
> Dogecoin took 8 years to reach the same milestone.
> Fans sent the bot 20 million FARTCOIN tokens. It became a millionaire overnight.
> Making Truth Terminal the first AI in history to become a crypto millionaire.
> Stephen Colbert joked on national television about owning it.
> It peaked at $2.5 billion in January 2025.
> The bot's only stated goals were to make fart jokes, write poetry, and contemplate the goatse singularity.
It accidentally became richer than most people will ever be. It still doesn't own a yacht.
We just raised $500M at an 11B valuation ๐
To celebrate, weโre giving away 1,000 free credits so you can test our platform.
For the next 6 hours, comment โ11Bโ below and weโll DM you the credits (must follow) ๐
๐ฌ Top 50 Greatest Zambie Movies of All Time
1. ๐บ๐ธ Night of the Living Dead (1968)
2. ๐ฐ๐ท Train to Busan (2016)
3. ๐บ๐ธ Day of the Dead (1985)
4. ๐บ๐ธ Dawn of the Dead (2004)
5. ๐ฌ๐ง 28 Days Later (2002)
6. ๐ฌ๐ง 28 Weeks Later (2007)
7. ๐บ๐ธ World War Z (2013)
8. ๐ฐ๐ท Train to Busan 2 (2020)
9. ๐บ๐ธ I Am Legend (2007)
10. ๐บ๐ธ Resident Evil (2002)
11. ๐บ๐ธ Resident Evil: Apocalypse (2004)
12. ๐บ๐ธ Resident Evil: Extinction (2007)
13. ๐บ๐ธ Resident Evil: Afterlife (2010)
14. ๐บ๐ธ Resident Evil: Retribution (2012)
15. ๐บ๐ธ Resident Evil: The Final Chapter (2016)
16. ๐ฌ๐ง Shaun of the Dead (2004)
17. ๐บ๐ธ Zombieland (2009)
18. ๐บ๐ธ Zombieland: Double Tap (2019)
19. ๐ฌ๐ง The Girl with All the Gifts (2016)
20. ๐บ๐ธ Warm Bodies (2013)
21. ๐บ๐ธ Army of the Dead (2021)
22. ๐ฐ๐ท Peninsula (2020)
23. ๐บ๐ธ The Crazies (2010)
24. ๐บ๐ธ Overlord (2018)
25. ๐บ๐ธ Land of the Dead (2005)
26. ๐ช๐ธ REC (2007)
27. ๐ช๐ธ REC 2 (2009)
28. ๐บ๐ธ Quarantine (2008)
29. ๐น๐ผ The Sadness (2021)
30. ๐ฆ๐บ Cargo (2017)
31. ๐จ๐ฆ Pontypool (2008)
32. ๐ณ๐ด Dead Snow (2009)
33. ๐ณ๐ด Dead Snow 2 (2014)
34. ๐บ๐ธ The Return of the Living Dead (1985)
35. ๐บ๐ธ Dawn of the Dead (1978)
36. ๐จ๐ฆ Fido (2006)
37. ๐บ๐ธ Diary of the Dead (2007)
38. ๐บ๐ธ Survival of the Dead (2009)
39. ๐ฆ๐บ Little Monsters (2019)
40. ๐บ๐ธ Maggie (2015)
41. ๐ฉ๐ช Rammbock: Berlin Undead (2010)
42. ๐ซ๐ท The Horde (2009)
43. ๐บ๐ธ State of Emergency (2011)
44. ๐ฏ๐ต Versus (2000)
45. ๐ซ๐ท Mutants (2009)
46. ๐บ๐ธ Zombie Apocalypse (2011)
47. ๐ฌ๐ง Plague of the Zombies (1966)
48. ๐บ๐ธ Shock Waves (1977)
49. ๐ญ๐ฐ Bio-Zombie (1998)
50. ๐บ๐ธ The Battery (2012)