DECEMBER - JANUARY8 IN MY V EWBY ZEESHAN JAVED, HEAD OF MEDIA PERFORMANCE AND ANALYTICS, FOXTEL GROUPARTIFICIAL INTELLIGENCE: THE EVOLUTION OF THE HUMAN WORKPLACEIn the past 70 years, few moments in the technological evolution of humankind have been more prominent catalysts for industry-wide change than the rise of artificial intelligence (AI). Be it the birth of the internet, the release of Apple's first iPhone, the rise of the social media behemoths, the great remote working migration during the pandemic or AI and LLM, each in their own way transformed both business and personal capabilities overnight. However, AI poses a uniquely critical question for workers everywhere: `Is AI going to replace human involvement in the workplace?' To answer this, let us explore the evolution of AI into what it has become today.The Early AI Revolution: Alan Turing, Neural Networks, and the Robotics RevolutionIn the 1950s, Alan Turing proposed the Turing test to see if machines could provide responses to questions that were indistinguishable from human responses. The premise was simple: Humans have the ability to consider context within both verbal and non-verbal responses, and a machine would have to perform the same neural calculations as that of the synapse-connected human brain to mimic the behaviours. Once Pandora's box opened, the evolution of AI sped up with the development of AI languages (LISP), machine learning models, neural networks, robotics and much more. Capability grew on the hardware side with the growth of quantum and cloud-based computing, which, through its calculative capabilities, put AI's end goal within reach, and it was a matter of time before software and core functions caught up. All of this paved the way for AI as we know it today.Chat-GPT is Born When we talk about fundamental shifts in AI capability, Chat-GPT ( Chat Generative Pre-Trained transformer) has been a pivotal evolution in this AI revolution, giving birth to what will rapidly become a trillion-dollar industry that permeates all corners of society. By fundamentally being able to converse with its questioner and adapt its responses across 175 billion different parameters, it changed the type of conversations a human could have with a machine. Its successor, GPT-4, has exponentially expanded that capability to parameters rumoured to be in the trillions, an ability to assess both text and images and perform countless permutations in seconds. All this has given credence to an inevitability that it will outgrow any technological evolution that came before it in a fraction of the time. AI is the Great EqualiserThe open-source nature of LLMs has enhanced fundamental capability within multiple industries and has evened out the playing field, where even new start-ups and SMBs can compete with established behemoths. The thousands of companies born via API add-ons to the transformer engines have allowed a new range of functionality that used to be left to human-based consulting services. Resumes, videos, translations, call centre responses, and much more can be managed in seconds via prompts. On a personal level, as a data and digital professional, Zeeshan Javed
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