Mind-Boggling Numbers

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Mind-Boggling Numbers

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  • #780884
    Michael Gilligan
    Participant
      @michaelgilligan61133

      I can’t pretend to really understand this stuff, but I’m sure most of us have seen the impact of China’s spectacular entry into the AI scene …

      Without getting political, or racist, could one of the wise please comment on this story in Tech Radar:

      https://apple.news/AvFCRStvPRlivaLgJbBiC3A

      Sorry … that link seems to be dead already !!

      .

      IMG_0559

      MichaelG.

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      #780970
      peak4
      Participant
        @peak4

        Tricky, since as you say, the article has now vanished.
        It may be of interest to photographers, that noise reduction software, [I have DxO Photolab], uses the graphics processor for the calculations, as it’s better geared to number crunching then the motherboard CPU.

        I don’t know if this link addresses any of your queries, written by a tech journalist Karen Hao
        It was originally a series of tweets on Twitter, but for those without an account, here it is helpfully rolled together via Threadreader.
        After reading the article, continue to the foot of the page, where there are a few others by the same author.

        https://threadreaderapp.com/thread/1883877986656825503.html

        Wiki is interesting
        https://en.wikipedia.org/wiki/DeepSeek

        My first experience of reading about AI was this, a couple of years ago; quite remarkable fore the time
        image_2025-01-30_112959378

        Bill

        #780988
        Michael Gilligan
        Participant
          @michaelgilligan61133

          Thanks for replying, Bill

          … I feared a total lack of interest !

          .

          For info. … Despite the link being dead,  I can still access the TechRadar piece from my ‘History’ and the paper it mentions [DeepSeek_R1.pdf] is on GitHub

          .

          IMG_0560

          .

          MichaelG.

          #780999
          jaCK Hobson
          Participant
            @jackhobson50760

            One view is that China/deepseek developers were acting under contraints (lack of billions of dollars of venture capital and restricted access to the latest GPUs). These constraints encouraged innovation to get more bang for your buck and more bang for your CPU power.

            Deepseek is open source in the true meaning of the word. i think it the MIT license which is very permissive. You could run it at home if you got the computing power. You can modify it.

            The paper on the development is supposed to be very detailed – I got the impression that they are not hiding anything.

            It is the combination of efficiency and openess that scared the US stock market. The market was relying on massive barrier to entry and dependency on hundreds of thousands of the latest Nvidia cards. Deepseek was no doubt very expensive to create but some estimate it is two orders of magnitude cheaper than OpenAI (OpenAI is ironically no where near as ‘open’ as deepseek).

            This needs checking as I heard something like it on a podcast in the middle of the night… it is estimated that the next gen AI training compute centres will consume 20% of current US electricity requirements. I probably got that wrong, but probably the right order of magnitude. The big bois (e.g. microsoft) are funding nuclear power plantd to run the datacentres.

            #781001
            peak4
            Participant
              @peak4

              I think both of the links I posted address the use of the lower powered GPU, have a read of some of Karen Hao’s other threads, without getting political on this forum. 22/09/2022 is one.
              Interestingly, your photo of the GPU wasn’t showing at all when I replied, just the placeholder icon.
              I now displays correctly, so I don’t know what’s changed, but does illustrate the point about a less powerful GPU doing a good job with a different software approach.

              The other notable thing for me, is that rather than being very secretive about the techniques/code used, as per the US and other models, The Chinese one is open source, akin to Linux etc.

              Bill

              #781002
              Bazyle
              Participant
                @bazyle

                If they train it on instruction manuals for Chinese made products………

                #781007
                Journeyman
                Participant
                  @journeyman

                  AI is wonderful!  This is an excerpt from an AnyCubic printer manual:-

                  • What the error is
                    When the AI ​​fried noodle detection function is turned on, the machine will pause printing when the camera detects that there are fried noodles on the printing platform, and the system will report this code. The user needs to confirm whether to continue printing.

                  What it actually refers to is a ‘spaghetti detection’ function when the filament just keeps coming from the nozzle and doesn’t stick to the bed. There are lots of similar mistranslations.

                  John

                  #781013
                  Michael Gilligan
                  Participant
                    @michaelgilligan61133

                    John

                    Is it really so surprising that a Chinese product would reference fried noodles in this situation ?

                    Spaghetti is (a) foreign to the Chinese, and (b) not usually fried

                    MichaelG.

                    #781053
                    jaCK Hobson
                    Participant
                      @jackhobson50760

                      the mess looks more like fried noodles than spaghetti

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