Zacryon

Hier, bitteschön, da ist er:

Did it make a mistake?

Don't forget where we came from and what shaped us as species

Isotopic evidence of high reliance on plant food among Later Stone Age hunter-gatherers at Taforalt, Morocco

its not, though. Its best described as inspired by a big pachinko machine, with weighted pegs.It is almost in no way inspired by. Thats just propaganda being put out to make AI more palatable, and personable.

Get your facts straight.
The multi layer perceptron was first proposed in 1943 and was indeed inspired by biological networks: https://doi.org/10.1007/BF02478259

You can be sure this wasn't to make it "more palatable", wtf.

Regarding the rest of your reply:

You seem to be expecting a fully functioning digital brain as replica of the human brain. That's not what current ANNs in modern AI methods do.

Although they are in their core inspired by nature (which is why I originally said that advancements in brain research can aid the development of more advanced AI models), they work structurally different. And ANNs for example are just simplified mathematical models of biological neural nets. I've described basic properties before. Further characteristics, like neurogenesis, transmission speeds influenced by myelinated or unmyelinated axons, different types and subnets of neurons, like inhibitors, etc., are not included.

There is quite a large difference between simplfied models which are "inspired by" nature and exact digital replicas. It seems you are not accepting this.

The reasons (summarized using Copilot):

• The platform no longer aligns with Debian's values, social contract, code of conduct, and diversity statement.
• Concerns over X becoming a place where people they care about don't feel safe.
• Abuse on the platform happening without consequences.
• Issues with misinformation and lack of moderation.

Das erste Mal, dass ich Respekt vor einem unserer (ehem.) Verkehrsminister habe.

Cool, danke!

Auch gut, aber gilt nur für 2017 - 2021.

I said "inspired by" and not "exact digital replicas".

In classical MLP networks a neuron is modeled as an activation function depending on its inputs. Connections between those are "learned", basically weights which determine the influence of one neuron's output on the next neuron's input. This is indeed Inspired by biological neural networks.

Interestingly, in some computer vision deep learning architectures, we have found structures after the training procedure which are even similar to how human vision works.

There are a bunch of different artificial neural network types, most – if not all – inspired by biology. I wouldn't be so bold to reduce them in that absurd manner you did.

As neural networks in AI are inspired by nature, new techniques will surely follow the insights gained by such brain mapping research.

That's okay, since I am never coming to Epic Games. Seems only fair.

Modern Slavery