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  • The whole article and the report, nowhere is it explained how they get their numbers. What fuel prices or electricity prices have they used, what mileage for the cars. It's kind of crucial info, and not really difficult to calculate either.

  • According to GPT-4 /w plugins: Based on the transcription of the video, here's a summary:

    The video features an interview with Yann LeCun, a renowned computer scientist known for his work in machine learning, computer vision, mobile robotics, and computational neuroscience. He is particularly well known for his work on optical character recognition and computer vision using convolutional neural networks (CNN), and is a founding father of convolutional nets. He is also one of the main creators of the DjVu image compression technology (together with Léon Bottou and Patrick Haffner). He co-developed the Lush programming language with Léon Bottou.

    LeCun discusses the potential of AI and its implications for society. He believes that AI will bring about a new renaissance for humanity, amplifying everyone's intelligence and making us more creative. He also discusses the risks associated with AI, but he emphasizes that these risks are not inevitable and do not necessarily lead to catastrophe. He argues against the idea of slowing down research or regulating AI before it has been fully developed, calling such attitudes "obscurantism."

    LeCun also talks about the state of AI research across different regions, including China, Europe, and the US. He notes that while each region has its strengths, they also face challenges that need to be addressed. For example, he mentions that China has a problem with bad science due to its incentive mechanisms, while Europe needs to provide more opportunities for people to go into science and research. In the US, he praises the country's willingness to take risks and invest in ideas that seem a little crazy, but notes that the cost of education is a significant downside.

    Towards the end of the video, LeCun discusses his future plans. He expresses excitement about the next steps in AI and the opportunity to understand intelligence better. He plans to continue working as long as he can contribute and has the means to do so.

    Here's a TL;DW:

    • Yann LeCun, a pioneer in AI and machine learning, discusses the future of AI and its potential impact on society.
    • He believes AI will amplify human intelligence and creativity, leading to a new renaissance for humanity.
    • He acknowledges the risks of AI but argues against the idea that these risks are inevitable or will necessarily lead to catastrophe.
    • He criticizes the idea of slowing down AI research or regulating it prematurely, calling such attitudes "obscurantism."
    • He discusses the state of AI research in different regions, noting the strengths and challenges of each.
    • He expresses excitement about the future of AI and plans to continue contributing to the field as long as he can.
  • I bought it years ago because it was the most accurate on tracking sleep. The fact that the battery lasts a week is also great. I wonder if there's been any new tests on the other metrics (heart rate, temperature etc)

  • No we also transfer generic material to similar looking (but not too similar looking) people and then teach those new people the pattern matching.

    My point: Reductionism just isn't useful when discussing intelligence.

  • That type of reductionism isn't really helpful. You can describe the human brain to also just be pattern recognition algorithms. But doing that many times, at different levels, apparently gets you functional brains.

  • What's currently stopping a certain user by the name science_r0x_99 from going to your site and copying your data and posting it on his YouTube channel without giving credit? What's stopping the journalist Johnny Always Busy from copying that data and putting them in an article on the Daily Whatever with a tacky headline and again no credit?