People who donated their bodies to science after they died, programmed cells grown from stem cells, unclaimed corpses etc.
No shortage of potential places. If I had to guess. Probably the Stem Cells option. That’s usually a popular option when it comes to needing specific cells for various tests.
This is not strange because neurons played Doom.
It is strange because we have crossed a threshold where life is no longer only studied.
It is interfaced, trained, rented, and turned into infrastructure.
About 200,000 human neurons were used in Cortical Labs’ Doom demo, and the company is openly marketing CL1 and Cortical Cloud as code-deployable biological computing platforms. The CL1 has been reported at around $35,000 per unit, while the company itself describes a cloud model that lets users deploy technology directly to real neurons.
That is why this lands with such force.
Not because a game was played.
But because biology has started to move from subject to substrate.
We used to ask whether machines could think.
Now we are entering an age where living tissue can be folded into computation, and the real question is no longer technical first.
It is moral.
Cortical Labs, an Australian biotech company, successfully taught a culture of 200,000 living human neurons grown on a microchip to play the classic video game Doom. The neurons, derived from induced pluripotent stem cells (iPSCs) and integrated onto a high-density microelectrode array (HD-MEA), were connected to a software environment via the CL-1 biological computer system.
The neurons did not "see" the game screen but received electrical signals representing game states—such as enemies, walls, and obstacles—which were mapped to specific patterns of stimulation. In response, the neurons fired electrical signals interpreted as actions: one pattern triggered shooting, another caused movement to the right. Through goal-directed learning and synaptic plasticity, the neural network adapted over time, improving its gameplay in about a week.
This experiment builds on earlier work where the same team taught neurons to play Pong. While the performance is far from expert-level—described as resembling a beginner—it demonstrates real-time adaptive learning in biological systems, a key advantage over traditional AI, which requires massive training datasets. The technology highlights the potential of biological computing for tasks involving real-time adaptation, pattern recognition, and energy efficiency.
Despite the breakthrough, the system is not conscious. It lacks a body, central nervous system, or self-awareness. However, it raises profound questions about the future of computing, ethics (including ownership of donor-derived cells), and the blurring line between biology and technology.
Just slap those is a humanise robot and what could possibality go wrong? We create a body, a mind but no soul. You almost wonder if something could move into the newly created body-mind?
Of all the video games in the world that they could have picked...they picked the one called "Doom."
Very telling indeed.. Kek
Where did they get the brain cells?
People who donated their bodies to science after they died, programmed cells grown from stem cells, unclaimed corpses etc.
No shortage of potential places. If I had to guess. Probably the Stem Cells option. That’s usually a popular option when it comes to needing specific cells for various tests.
Oh. Thanks. Organ or stem cell "donors".
Welp, I believe All-knowing God created all the ingredients. I also believe He is the final judge regarding our stewardship of those ingredients.
bigbang @1adimotesi on X:
This is not strange because neurons played Doom. It is strange because we have crossed a threshold where life is no longer only studied. It is interfaced, trained, rented, and turned into infrastructure.
About 200,000 human neurons were used in Cortical Labs’ Doom demo, and the company is openly marketing CL1 and Cortical Cloud as code-deployable biological computing platforms. The CL1 has been reported at around $35,000 per unit, while the company itself describes a cloud model that lets users deploy technology directly to real neurons.
That is why this lands with such force. Not because a game was played. But because biology has started to move from subject to substrate.
We used to ask whether machines could think. Now we are entering an age where living tissue can be folded into computation, and the real question is no longer technical first. It is moral.
https://x.com/1adimotesi/status/2030486759885222151?s=20
An abomination. An insult to God.
Burn it to the ground, and I would seriously consider mortal punishment for all involved.
Kr$na @krishdotdev on X
Did anyone realize what just happened here?
This is one of the strangest things happening in tech right now.
Scientists put 200,000 human brain cells on a chip and taught them to play Doom.
Yes. Real neurons.
They’re now selling Wetware as a Service.
Developers can literally deploy code to living neurons in the cloud.
This neither simulation nor silicon, this is Actual brain cells.
Welcome to biological computing.
We're all DOOMED!
Cortical Labs, an Australian biotech company, successfully taught a culture of 200,000 living human neurons grown on a microchip to play the classic video game Doom. The neurons, derived from induced pluripotent stem cells (iPSCs) and integrated onto a high-density microelectrode array (HD-MEA), were connected to a software environment via the CL-1 biological computer system.
The neurons did not "see" the game screen but received electrical signals representing game states—such as enemies, walls, and obstacles—which were mapped to specific patterns of stimulation. In response, the neurons fired electrical signals interpreted as actions: one pattern triggered shooting, another caused movement to the right. Through goal-directed learning and synaptic plasticity, the neural network adapted over time, improving its gameplay in about a week.
This experiment builds on earlier work where the same team taught neurons to play Pong. While the performance is far from expert-level—described as resembling a beginner—it demonstrates real-time adaptive learning in biological systems, a key advantage over traditional AI, which requires massive training datasets. The technology highlights the potential of biological computing for tasks involving real-time adaptation, pattern recognition, and energy efficiency.
Despite the breakthrough, the system is not conscious. It lacks a body, central nervous system, or self-awareness. However, it raises profound questions about the future of computing, ethics (including ownership of donor-derived cells), and the blurring line between biology and technology.
Just slap those is a humanise robot and what could possibality go wrong? We create a body, a mind but no soul. You almost wonder if something could move into the newly created body-mind?
More proof that we are living in the matrix.
MOVIE SPOILER
Ghost in the Shell: Major finds Kuze's Network https://www.youtube.com/watch?v=06by5Sq13fI
Extremely related from 13 years ago:-
Rat brain neurons flying a simulator and performing the function of a three axis autopilot.
Neurons aren't brain cells, our brain cells are hidden deep within neurons.
This is off the back of programming doom on bacteria....
Were they from the jar marked "Abby Normal?'
Tron did it better. 😉