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How to Get Inside the “Brain” of AI | Alona Fyshe | TED



Is AI as smart as it seems? Exploring the “brain” behind machine learning, neural networker Alona Fyshe delves into the language processing abilities of talkative tech (like the groundbreaking chatbot and internet obsession ChatGPT) and explains how different it is from your own brain — even though it can sound convincingly human.

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45 Comments

  1. I don't see the link or a reference to the study mentioned in the video anywhere. Also the presenter didn't include any details of this study like the names of the researchers or anything. I'd like to read it but can't find it.

  2. Good talk but kind of redundant. The question is never answered and the test to marry up brain activity and neural network activity solves nothing. All you have done is shown that they both respond in their own independent way the correct response and then trained a positive bias model off of that to keep confirming the results.

  3. That was an honest discussion! We don't know how the brain understands and generates coherent texts/sentences, but people – behind ChatGPT – should know "exactly" how sentences are generated by the application; if they don't, I'm a little worried. 😰

    Even if the algorithm is complicated, they should know/understand precisely what it does; we know exactly what backprograpation and batch normalization are doing when we train a neural network. 😊

  4. the chinese room is thoroughly stupid, the person in the room doesnt know chinese but the system i.e. room with person + book does, this is equivalent to isolating single parts of a human, saying that they don't show sentience and concluding that human's aren't sentient.

  5. Personally I don't care if AIs are sentient, if they understand, if they are conscious/self-aware or any of these other terms without any real meaning which only serve to stoke the human ego. What matters is they're intelligent and useful, take any of these tests and run them on humans first and you'll find human's aren't conscious either.

  6. I do have a hypothesis, it might as well be that as the intelligence of anything(biological/mechanical) increases alot, it tends to become somewhat sentient/conscious. As we can see the intelligence difference between humans and other animals as well. Even though it doesn't have same senses that we do, I believe, it is still somewhat sentient/conscious in its own new way.

  7. Humans are also following a set of instructions. Stimuli goes in, responses come out, all determined by the structure of the brain at that moment.

  8. My uncle Randy is a fully certified AI. He completely understands people but has problems communicating the right answers sometimes . His boss thinks once he gets his GED that he will be a lot better in that department.

  9. The important thing is that you are satisfied or not if AI understand you. Can we see Al as if it is humans or animals? It would be Yes in the near future, but now answer is Nooo😂

  10. I honestly don't understand what the point of this was…
    I even looked up Alona before watching to check whether she had some authority to talk on the subject, and it seemed she did. Now I'm not too sure.
    Am I missing something? Was this written by an AI? What on earth was this?

  11. Isn't it true that no one has figured anything close to understanding how the process works inside the AI transformer models yet. But we have a very good rough estimate of how it works in brains

  12. Ugly cracking deep throat voice setting, so typical for american women, the last few years. It has aspects of grunge singing. Why do American women do this? Does it have a cultural aspect? What’s happening?

  13. According to Swedish psychologist Carl G. Liungman, human intelligence at its best merely serves to resolve as many problems as it creates (solutions to known problems). Human creativity is capable of dealing with the unknowns of our being and future. AI, i.e. OZ doesn't compare to Newton or Einstein. Probably AI is just an odd abbreviation substituting for 'ric', i.e. running in circles … Ouroboros says Hello.

  14. I dont think AI need to work like a human brain !!! AI can work on its own way because AI more powerful than brain when accessing information !! can the brain access such information? Analyse an answer ?? I think each has duffen approaches where AI can be Ai and human can be human but produce the same answer at the end of the day ??

  15. There is a saying in China that describes an impossible thing, called a sow climbing a tree. My current understanding of AI is this: a person tells the pig that you should do this. Then, the piglet climbed the tree. I guess the little pig will be able to fly into the sky in the future.

  16. Sabine Hossenfelder had a much better video on this. Here are the two main points from the video.

    1. A guy in a room with instructions translating chinese. The guy clearly does not understand chinese. But the entire system does. So its not a fair comparison. It would be like looking at 1 neuron in the brain and saying "see! No human understands chinese!!

    2. How do we know if another human understands something? We can't. We can test them on a subject and if they do well enough, WE ASSUME THEY UNDERSTAND. Its possible they just memorized it like a kid memorizing the multiplication table but still not understanding multiplication. Its the same with bing ai or chatgpt. We talk to it. It talks back. It clearly has a deep understanding of text language data.

  17. This is particularly relevant from a medical ethics standpoint, as AI is increasingly being used in healthcare settings to assist with diagnosis and treatment decisions. It is crucial that we understand how AI makes decisions and ensure that these decisions align with ethical principles.

    The ethical principles of beneficence and non-maleficence are particularly relevant here. AI systems must be designed to promote the well-being of patients and avoid harm, which requires a deep understanding of the ethical implications of their decision-making processes. Additionally, the principle of autonomy is important, as it highlights the importance of respecting patients' right to make decisions about their own healthcare. AI systems must be designed to support patient autonomy and avoid making decisions that override patient preferences.

    Fyshe's talk offers valuable insights into how we can better understand the "brain" of AI, through techniques such as interpretability and transparency. These approaches can help us identify and address biases in AI decision-making, which is crucial from an ethical standpoint. It is essential that we ensure that AI systems are not perpetuating or exacerbating existing health disparities, but rather promoting equity and fairness in healthcare.

    In conclusion, this talk highlights the ethical implications of AI in healthcare and offers valuable insights into how we can better understand the "brain" of AI. From a medical ethics standpoint, it is crucial that we design AI systems that promote the well-being of patients, avoid harm, and respect patient autonomy. By prioritizing these ethical principles and leveraging techniques such as interpretability and transparency, we can ensure that AI systems are promoting equity and fairness in healthcare.

  18. Fun thought: what happens when the impostor has optimized his process? He doesnt need the instructions, he can just write the answer; he's simply learned a version of chinese that isn't spoken or translated

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