Abdullah Ubharay

27 // Fintech Lawyer

[Abdullah Ubharay @abu2097]

A photography thread by yours truly

[Abdullah Ubharay @abu2097]

@dumbina7 @Catsillyness 😂 😂 😂 We're personality hires

[Abdullah Ubharay @abu2097]

@dumbina7 I was gonna chop mine yesterday but that was the devil speaking to me

[Abdullah Ubharay @abu2097]

Duality of Mumbai locals: yesterday a man was murdered, today someone is distributing breakfast. Same local, different story. Humanity and brutality, one day apart.

[scofield @tinercimayki]

futbol izleyen her erkek şu videoya üzülür..

[Cristiano Ronaldo @Cristiano]

RIP THE SCRIPT @Nike

#Ad

[Abdullah Ubharay @abu2097]

@dumbina7 It's unbelievable how hot it is

[John Fadule @fadule_]

-sending a text in your groupchat and getting 6 HAHA reacts
-busting inside your crush
-lifting weights in the Sun blasting white girl pop throwbacks
-when a hot girl’s dog immediately loves you
-Harry Potter marathon while it’s snowing
-December 26th-30th
-partying with the Seniors when you were a Sophomore
-being at a concert looking around the crowd realizing ‘wow life is a miracle I’m so lucky to be alive’

[Abdullah Ubharay @abu2097]

@dumbina7 Valid

[Jeremy @ManaByte]

And with that, Flat Earth is over.

[Sassington, M.C. @MissSassbox]

this is probably the last time a lot of us would look at a computer screen solely for pleasure ever again

[Abdullah Ubharay @abu2097]

This is the hardest thing I've read in my life

[Aakash Gupta @aakashgupta]

We’re spending $200B+ a year on data centers to power AI. One company raised $11M, grew human brain cells on a chip, and the cells taught themselves to play a 3D shooter in a week.

Cortical Labs grew 200,000 human neurons on a silicon chip and taught them to play Doom. The cells navigate, target enemies, and fire weapons in real time. Their previous game, Pong, took 18 months on older hardware. Doom took a week. An independent developer with zero biotech experience built the integration using a Python API. The neurons did the rest.

That compression from 18 months to one week tells you everything about where this is going.

Here’s what the “can it run Doom” crowd is missing: each CL1 unit costs $35,000. A full 30-unit server rack draws 850 to 1,000 watts total. Your brain runs on 20 watts. A single GPU cluster training an LLM can draw megawatts. The energy economics of biological compute are orders of magnitude better than silicon, and that gap scales.

The investor list tells you who’s paying attention. Horizons Ventures, Blackbird, and In-Q-Tel, the CIA’s venture arm. In-Q-Tel doesn’t fund science projects. They fund intelligence infrastructure. 115 units started shipping in 2025.

Cortical Labs is now selling “Wetware-as-a-Service” through the Cortical Cloud. Developers can deploy code to living neurons remotely without touching a lab. They’re pricing access at the level of a software subscription while the hardware runs on real human brain cells derived from adult skin and blood samples.

The Doom demo is marketing. The platform play is a bet that biological neurons will eventually outperform silicon at exactly the tasks AI struggles with most: real-time adaptation under uncertainty, learning from minimal data, and processing ambiguity without brute-force compute.

The question was never “can it run Doom.” The question is what happens when it can run everything else.

[Abdullah Ubharay @abu2097]

People using powerbanks give me the ick

[Abdullah Ubharay @abu2097]

@dumbina7 That's literally the best one

[Abdullah Ubharay @abu2097]

@dumbina7 Trash season

[Baro_Eleniyan @Baro_of_Africa]

There is a stage you get to in life and that’s the first App you have to check every morning and before you sleep too.

[Abdullah Ubharay @abu2097]

@dumbina7 Aight

[Soleil @soleiljolina]

There’s no better feeling than coming home and immediately changing into your Adam Sandler fit