by Sean Adl-Tabatabai, The Peoples Voice:
World Economic Forum scientists have unveiled the world’s first hybrid supercomputer, powered by lab-grown human brains.
According to the WEF-funded scientists at Final Spark, “the Neuroplatform” only requires “a fraction of the energy required to power a traditional computer” due to the fact that is uses human brains as an energy source.
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Discernreport.com reports: Swiss tech startup FinalSpark is now selling access to biocomputers that combine up to four tiny lab-grown human brains with silicon chips.
This new bioprocessing platform, called the Neuroplatform, uses small versions of human brains to do computer work instead of silicon chips. The company says it can fit 16 of these mini-brains onto the Neuroplatform and use a fraction of the energy required to power a traditional set up.
The platform, currently adopted by nine institutions, integrates hardware, software and biology to construct a processing system that is energy-efficient and high-performing.
This “breakthrough” is being hailed as a way to save a gigantic amount of energy. But what about the lab-grown human brains that are being enslaved to run the Neuroplatform?
Each of the 16 mini-brains is made up of approximately 10,000 living neurons, and they are kept alive by a “microfluidics system that supplies water and nutrients for the cells”…
Rather than merely integrating biological concepts into computing, FinalSpark’s online platform ‘taps’ into spherical clusters of lab-grown human brain cells called organoids. A total of 16 organoids are housed within four arrays that connect to eight electrodes each and a microfluidics system that supplies water and nutrients for the cells.
The approach, known as wetware computing, in this case harnesses researchers’ abilities to culture organoids in the lab, a fairly new technology that allows scientists to study what are essentially mini replicas of individual organs.
During their short lives, the mini-brains are literally trained to perform certain tasks using a reward and punishment system…
Researchers do this by training the organoids through a reward system. The organoids are rewarded with dopamine, the neurotransmitter responsible for pleasure (and addiction).
Meanwhile, as “punishment,” the organoids are exposed to chaotic stimuli, such as irregular electrical activity.
If the enslaved mini-brains do what they are supposed to do, they are rewarded with lots of pleasure.
If the enslaved mini-brains do not do what they are supposed to do, they are hit with lots of “irregular electrical activity”.
In other words, these miniature human brains are tortured until they learn to obey. Reading that should literally make you sick.
What these scientists are doing is so incredibly evil. Final Spark claims that the miniature human brains use “a million times less power than their silicon counterparts”…
Swiss technology firm Final Spark has successfully launched Neuroplatform, the world’s first bioprocessing platform where human brain organoids (lab-grown miniaturized versions of organs) perform computational tasks instead of silicon chips.
The first such facility hosts the processing prowess of 16 brain organoids, which the company claims uses a million times less power than their silicon counterparts.
Final Spark hopes that their new “technology” will become the primary energy source for the AI revolution.
Because at this point training AI models uses a colossal amount of conventional energy…
According to Final Spark’s estimates, training the popular large language model GPT-3 that powered ChatGPT in its initial days alone consumed 10 GWh of energy. This is a whopping 6,000 times more energy than an average European city consumes in an entire year.
Replacing silicon chips with bioprocessors could lead to drastic energy savings. Final Spark allows research labs to experience the power of biological processors on the Neuroplatform.
To a lot of people out there, this is going to sound really great.
Final Spark insists that the processor that it has created will use a million times less energy compared to a normal silicon chip.
There is just one enormous problem.
The mini-brains keep dying and must be regularly replaced.
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