Unlocking the Potential of Organoid Intelligence: Examining the Possibilities of Human Brain-Based Computing

Who is afraid of the intelligence of an organoid?

It’s been an interesting month for bioethical horror fans. We were first told that we could use the wombs of comatose females to carry surrogate babies. It appears that we may have an even more snazzy plan for their brains: turning them into super-efficient biological computer.

Recently, you’ll see that techies are worried about the physical limits of silicon-based computing. Recently,’machine-learning’ has required an exponentially higher amount of energy. Corporations are worried that technological advancements will become unsustainable. In a paper released this week, an American team of scientists revealed something rather interesting: the walnut-shaped spongy computers in our skulls don’t seem to be limited by the same restrictions. This could provide us with a solution.

The paper explains that the human brain is slower than computers at basic tasks, like mathematical sums, but better at complex problems involving limited or ambiguous data. Computers cannot learn how to make quick decisions, even with limited information. Humans can. Silicon is beaten by sponge for anything more complex than simple arithmetic.