7 thoughts on “Startup Makes Probability-Based Chips for Big Data Apps”

  1. While I agree that the age of big data requires probabilistic approaches, I fear Lyric may have a tough time convincing a business audience of this.

    Few questions that businesses ask of their massive data — such as, “were sales significantly higher yesterday?” — rarely require operations over billions of events to produce exact counts.

    Yet few executives like answers that begin with “probably…” — they want precision, even false precision.

    That said, I hope these guys may succeed in proving me wrong, and save the world a lot of CPU cycles in the process.

    1. Interesting development: fuzzy chips! The tough part is not only getting new equipment purchases of the hardware, but convincing human capital (brains) to invest time into PSBL. Besides, its pretty clear that proprietary languages have problems (especially ones like PSBL that have trademarks next to their names … Oracle Java patents wars anyone?). They’ll have to get a few marquee customers which could be expensive (maybe Bernanke and the Federal Reserve will be good candidates to see if probability programming can avert the next financial crisis lol). @Michael would probably agree with me that this announcement is unlikely to stop Hadoop which is just getting warmed up!

      1. Eddie and Michael,

        Great points. I didn’t go into details here, but getting folks to sign on for using their programming protocol isn’t going to be easy.


        I would disagree with you on one topic: in the future all businesses have to be asking complex questions from their IT systems. Without that they are just not a relevant enterprise. So perhaps that is why more folks are going to need these (or these kind of) chips 😉

  2. I thought that the transistors went out like the dodo bird when Computer chips were invented.
    It is so complicated that any one using this new technology will probably require a PHD. in Computer Tech. Programming and Analysis.
    Its not for the average Joe.

  3. Port the R language to it and get the financial guys excited!

    Great opportunity for cloud providers to explore differentiating their services.

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