Random Thoughts and Observations on Data Science and Beyond

Category: Uncategorized

  • Wright Flyer and LLMs: Patent or not to Patent

    The Wright brothers patenting of their invention was arguably one of the reasons for the development of the aerospace industry. A quick search on Google Patents and a check on GPT4 suggests that Large Language Models (LLMs) are not being patented. Why? If the LLM is truly as significant as the seminal developments like the…

  • TOWS Vs Never Panic Early

    TOWS is implementing SWOT (Strength Weakness Opportunity Threat) analysis in reverse. A central premise of this blog is: TOWS is either the implicit or explicit approach adopted worldwide by many software organizations attempting scale at a breakneck speed. Let me explain: Often Threats (think Y2K, potential disruption due to regulatory changes, poor taxi services) lead…

  • GenAI: Pathways from Art to Science

    For many practitioners (and not just research scientists) the most troubling part about Generative AI (GenAI) is the absence of a robust scientific framework for GenAI. This has been reported in the Computer Vision area as recently as in 2021A.In the past there have been numerous instances in which the artifact has preceded the development…

  • The Age of Neural Network Technicians?

    We know that the steam engine was developed before the Law of Thermodynamics were discovered. Many will rightly say that in world of Data Science the artifact is ahead of the theory as famously said by Yann LeCun in his Turing Prize lecture. Increasingly we are finding new variety of AI Engineers/Neural Network Operators who…

  • The Pace of Innovation in AI is reaching an escape velocity and what it means…

    For the purpose of this blog the term AI refers to a traditional text book (Russell & Norvig) definition of it applying to the combination of Computer Science+ Statistics + (Language/Vision/Robotics). In IT —compared to most other industries— the time gap between research and practice has traditionally been very small. For those working in the…

  • Is ChatGPT facing a Minsky-Papert moment…

    In 1969 Minsky and Papert showed that the perceptron could not replicate a simple XOR function. This marked the beginning of the first AI winter.  Is ChatGPT and are other Large Language Models (not necessarily all of AI) facing such a moment? Since ChatGPT became available in November 2022 there have experiences that many have…

  • Why is Finance the biggest spender on IT.

    Finance businesses are almost always born digital! Background: Over more than half a century Banking, Financial Services and Insurance (BFSI) or Finance (for short) has been the undisputed biggest spender on IT. A very superficial and overly simplistic reason for this is: Finance deals with money and so they have money and hence they have…

  • The Priority Sector Lending Puzzle

    Is India’s unique floor and trade system on the verge of being subverted? By regulations banks in India are required to make of 40% of their loans in the priority sector. The priority sector has sub-targets within this 40% target. Since 2016 a floor and trade system called Priority Sector Lending Certificates (much like carbon…

  • Who is responsible for Generative AI: A first step…

    If you draw like Leonarda da Vinci can you rightly say that your skills are like the great man. If you use Generative AI to paint like Vincent van Gogh and Leonardo Da Vinci combined in one painting would the answer change. Can authorship be claimed for AI Generated great works of art? Does the…

  • ChatGPT and the Turing Test. Does it really matter?

    Whether a machine can exhibit intelligence of the kind humans do is a deeply philosophical question. More narrowly, the famous Turing Test— proposed in 1950— specifies an Imitation Game in a formal way. In this game the computer program should be able to imitate an human at least 70% of the times when interrogated by…