this post was submitted on 20 Dec 2024
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Artificial Intelligence
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Large gains were due to scaling the hardware, and data. The training algorithms didn't change much, transformers allowed for higher parallelization. There are no signs of the process becoming self-improving. Agentic performance is horrible as you can see with Claude (15% of tasks successful).
What happens in the brain is a big mystery, and thus it cannot be mimicked. Biological neural networks do not exist, because the synaptic cleft is an artifact. The living neurons are round, and the axons are the result of dehydration with ethanol or xylene.
Most scientists would not believe that. But if you are right in some way, we are very far of what I said here before. Clearly it's not me who will convince you otherwise. I wish you the best, take care ๐