Row 42002

Row ID: 42002 | Dataset Entry | Axioma AXP Content Repository

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This page contains data entry 42002 from the Axioma AXP content repository. The structured data below represents the complete record for this entry.

I realize the video is 27 mins, but I will assume you didn’t watch it, which is fine. I get it, I am just a random Redditor. However…

The input portion of the i/o in BNN and the ai from the video are controlled, yet the “brain stuff” is not controlled. If you watch the video, then you will see that the reward system which is used to train the ai is based on a primitive from of pain stimulation.

Normal ANNs often use what is essentially point reward systems to measure and train, along with the weights and biases in the nodes etc.

Yet, with this BNN, the reward system is essentially using a form of shock therapy that guides the training protocol. This is a VERY primitive ai, with regard to levels of intelligence, yet it is only a precursor.

The guy uses human stem cells in other videos to produce a BNN, but due to cost and availability they went with rat neurons for the DOOM experiment. Even still, it is essentially the same gray matter that is between your ears. The only difference is the level of organization and the associated i/o.

ANNs are way further off than BNNs regarding neural structure and arrangement regarding the similarities with the human brain. Node structures aren’t linear in the BNNs and they are analog.

This is more akin to the neural structures in octopi arms, currently.

The BNN forms dendrites and other organic structures even in this primitive ai.

This form of ai has the best argument for receiving rights, though it will make the case for ANNs as well. I have even watch some other videos of a large firm working with similar BNNs that actually slowed their research because, “we are not sure if they are essentially screaming the entire time.” These are living organic cells.

The hybridization of ANNs with BNNs will offer the best of both worlds, such as the complex organic learning capabilities and the speed of synthetics together… and it will likely back propagate organic causality recognition from the BNN portion to the ANN portion, as well it will likely produce fight / flight neural function.

I wouldn’t be so dismissive.

FieldValue
text I realize the video is 27 mins, but I will assume you didn’t watch it, which is fine. I get it, I am just a random Redditor. However… The input portion of the i/o in BNN and the ai from the video are controlled, yet the “brain stuff” is not controlled. If you watch the video, then you will see that the reward system which is used to train the ai is based on a primitive from of pain stimulation. Normal ANNs often use what is essentially point reward systems to measure and train, along with the …
label r/artificial
dataType comment
communityName r/artificial
datetime 2024-05-22
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Raw Record

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  "text": "I realize the video is 27 mins, but I will assume you didn’t watch it, which is fine. I get it, I am just a random Redditor. However…\n\nThe input portion of the i/o in BNN and the ai from the video are controlled, yet the “brain stuff” is not controlled. If you watch the video, then you will see that the reward system which is used to train the ai is based on a primitive from of pain stimulation.\n\nNormal ANNs often use what is essentially point reward systems to measure and train, along with the weights and biases in the nodes etc.\n\nYet, with this BNN, the reward system is essentially using a form of shock therapy that guides the training protocol. This is a VERY primitive ai, with regard to levels of intelligence, yet it is only a precursor.\n\nThe guy uses human stem cells in other videos to produce a BNN, but due to cost and availability they went with rat neurons for the DOOM experiment. Even still, it is essentially the same gray matter that is between your ears. The only difference is the level of organization and the associated i/o.\n\nANNs are way further off than BNNs regarding neural structure and arrangement regarding the similarities with the human brain. Node structures aren’t linear in the BNNs and they are analog.\n\nThis is more akin to the neural structures in octopi arms, currently.\n\nThe BNN forms dendrites and other organic structures even in this primitive ai.\n\nThis form of ai has the best argument for receiving rights, though it will make the case for ANNs as well. I have even watch some other videos of a large firm working with similar BNNs that actually slowed their research because, “we are not sure if they are essentially screaming the entire time.” These are living organic cells.\n\nThe hybridization of ANNs with BNNs will offer the best of both worlds, such as the complex organic learning capabilities and the speed of synthetics together… and it will likely back propagate organic causality recognition from the BNN portion to the ANN portion, as well it will likely produce fight / flight neural function.\n\nI wouldn’t be so dismissive.",
  "label": "r/artificial",
  "dataType": "comment",
  "communityName": "r/artificial",
  "datetime": "2024-05-22",
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