FinalSpark, a Swiss tech company, has recently unveiled a program offering cloud access to ‘biocomputers’ made from human brain cells. These biocomputers, composed of brain organoids, are claimed to be 100,000 times more efficient for AI training compared to traditional silicon-based systems. The technology can ‘live’ for up to 100 days and uses dopamine for reinforcement learning.
Let me be clear: I absolutely hate this development. It’s not just unsettling; it’s downright creepy and crosses a major ethical line. USING BRAINS AS COMPUTERS IS CREEPY MATRIX STUFF!
The ethical implications of using human biological material for computational purposes are immense. It’s not just about the source of these brain cells or the consent processes involved. It’s about the fundamental respect we should have for humanity made in the image of God, and the dangerous precedent this sets.
While I find the use of human brain cells in this context deeply problematic, I reluctantly acknowledge that there might be scenarios where the use of animal brain cells could be considered, though this too still seems sort of creepy.
This development is part of a broader trend of technological advancements that are pushing too far, too fast. For instance, attempts to recreate scenarios from science fiction, such as the implantation of fake memories (as seen in the Star Trek: Deep Space Nine episode “Hard Time”), are equally disturbing and raise serious questions about the boundaries of technology and human experience.
I strongly believe that the potential benefits of using human brains as computes and memory implantation do not outweigh the ethical concerns. We need to have a serious discussion about where we draw the line in AI development.
What are your thoughts on this development? Do you share my concerns, or do you see it differently? This is a critical issue that demands thoughtful discussion and careful consideration.
For more insights on the ethical implications of AI and emerging technologies, check out my article on SB 1047 and its potential impact on large language models.
Stay informed and engaged as we grapple with these crucial discussions about the future of AI and technology.
