@SSFootball Worst morning show ever. This show has almost nothing to do with football or the World Cup. Please just bring back normal morning highlights and analysis
The Garden Route has officially been ranked the worldโs best road trip
Scoring 90.6/100, it beat iconic routes like Route 66 and the Amalfi Coast. A big win for South African tourism!:
https://t.co/ajGAba99Yx
Weโre 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.
Hereโs what the โcan it run Doomโ 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 whoโs paying attention. Horizons Ventures, Blackbird, and In-Q-Tel, the CIAโs venture arm. In-Q-Tel doesnโt fund science projects. They fund intelligence infrastructure. 115 units started shipping in 2025.
Cortical Labs is now selling โWetware-as-a-Serviceโ through the Cortical Cloud. Developers can deploy code to living neurons remotely without touching a lab. Theyโre 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 โcan it run Doom.โ The question is what happens when it can run everything else.