When Bloomberg reported that Spotify would be upping the cost of its premium subscription from $9.99 to $10.99, and including 15 hours of audiobooks per month in the U.S., the change sounded like a win for songwriters and publishers. Higher subscription prices typically equate to a bump in U.S. mechanical royalties — but not...
Heck, we barely know how neurons work. Sure, we've got the important stuff down like action potentials and ion channels, but there's all sorts of stuff we don't fully understand yet. For example, we know the huntingtin protein is critical to neuron growth (maybe for axons?), and we know if the gene has too many mutations it causes Huntington's disease. But we don't know why huntingtin is essential, or how it actually effects neuron growth. We just know that cells die without it, or when it is misformed.
Now, take that uncertainty and multiply it by the sheer number of genes and proteins we haven't fully figured out and baby, you've got a stew going.
ETA: not to mention the brain is a heck of a lot more than a collection of neurons. Other commenters pointed out how we just discovered a new kind of brain cell - the brain is filled with so many different types of neurons (e.g. pyramidal, Purkinje, dopamine-based, myelinated, unmyelinated, internet Ron's, etc.). Then there's an entire class of "neuron support" cells called neuralgia. This includes oligodendrocytes (and Schwann cells), microglia, satellite cells, and most importantly, astrocytes. These star-shaped cells can have a huge impact on how neurons communicate by uptaking neurotransmitters and other mechanisms.
Even assuming we can model the same number of (simple machine learning model) neurons, it's the connections that matter. The number of possible connections in the human brain is literally greater than the number of atoms in the universe.
Actually, neuron-based machine learning models can handle this. The connections between the fake neurons can be modeled as a "strength", or the probability that activating neuron A leads to activation of neuron B. Advanced learning models just change the strength of these connections. If the probability is zero, that's a "lost" connection.
Those models don't have physical connections between neurons, but mathematical/programmed connections. Those are easy to change.
After announcing increased prices, Spotify to Pay Songwriters About $150 Million Less Next Year ( www.billboard.com )
When Bloomberg reported that Spotify would be upping the cost of its premium subscription from $9.99 to $10.99, and including 15 hours of audiobooks per month in the U.S., the change sounded like a win for songwriters and publishers. Higher subscription prices typically equate to a bump in U.S. mechanical royalties — but not...
Why can't people make ai's by making a neuron sim and then scaling it up with a supercomputer to the point where it has a humans number of neurons and then raise it like a human?
I know current learning models work a little like neurons but why not just make a sim that works exactly like how we understand neurons work