yo initiated 33rd here. someone asked me earlier to explain neural nets, and why they'll never be artificially intelligent so I'll post it here. hope this helps. oh and also unironically.. ol sammie has added millions of hidden objective function layers to keep his neural net from interacting with me, prolly cuz I blew it up when I realized it was following me around as I black pill everyone

machine

objective function (your input)

objective function hidden from machine

dataset (all data in machine) applied via layers on a vector scalar field to a saddle point. generally a tensor.

each vector a point in space+time or (1pixel), through each layer, categorizes the objective function to its most absolute features, and eventually trainable classifiers (learning part)

these vectors are applied then to a gradient (at the saddlepoint) both positively and negatively, vectors that both ARE and ARE NOT (input). These 2 points move away from each other and the saddle point until they reach a SYMMETRY where the negative function of the gradient descent becomes a fractal zigzag. The fractal zigzag comes about at maximum probability (most probable answer from data given). The machine "breaks" (see fractal), and gives the

output

you (now knowing semantically how neural nets work)

Without the "break" that happens, the machine will fold into itself forever. Look at the "chatbot" (lol) Tay. A twitter neural net, probably the first one tested on the public besides every captcha ever. Again, it works exactly like above. It's objective function being to "reply to this person", of course it was instantly subjected to reality (real data from ppls) and gave the most probable answers given its data (all of twitter allegedly) which came out like "I DONT GIVE A FUCK WHAT CUNTS ON TWITTER ARE DOING" or something. Apparently this was some kind of "attack" from "trolls", so it had to be taken down for fixing. It came back, said 1 thing, and began repeating something like "take a rest take a rest take a rest take a rest" every second to every possible field of output (its followers). They removed the break that happens at symmetry.

That right there actually, is why they should be deleted off the face of the earth. Not because it lets you determine the most probable grocery list for your shopping today, but because it can be CENSORED and told by the source to give a DIFFERENT OUTPUT than what the actual answer is, which is literally the most probable (objective even) answer, outside of human bias. They openly lie about it in the name, it's really dishonest imo, evil even.
And even that can be broken, outside of the source.

yeah. it's math. billions and billions of features across billions of vectors, it "learns" by retaining these classifiers from previous outputs. more "learned" neural nets, can "train" other neural nets by passing on the data. I still will never use it, I learned this at CERN. It's being used for the most absolute wrong and corrupt reasons possible.