@argosaki This is nonsense, sounds more like a heads up to all cheaters to turn off their “safe” phone. How many domestically unsafe situations are there to warrant this, let alone like those women even have two phones. Again this just sounds like a warning for anyone who cheats
@TempoICT Basic ICT concepts, a lot more variables to consider to improve your accuracy and obviously in a continuation trend this wont work but overall yes this will work more often than not
@I_Am_The_ICT Hello Michael! Goodbye ICT… good for you man! Time is so precious, go live your life we will still be here trying to catch up! Much Love!
@HustleBitch_ For God’s sake, close your damn mouth people! It’s not that hard, so tired of these shortcut peptides. Have fun being test subjects like the jab
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.
@I_Am_The_ICT Can’t come soon enough tired of watching the market move without me. Although this has been a great exercise of patience, and I wouldn’t even know that I needed to be patient had it not been for your teachings
@I_Am_The_ICT Starting to see why you use a notebook, I’m getting too lazy using indicators which just end up cluttering the charts and distracting you