Institutional Investor (August 29)
“Ever since ChatGPT burst onto the scene last November…so-called “generative AI” has turned the markets on their heads.” Venture capitalists, “coming off the worst year in recent history,” have “redirected their dollars to AI upstarts. Meanwhile, the stock prices of the big tech names suspected to be the major beneficiaries of this often-called ‘revolutionary’ form of artificial intelligence have skyrocketed.” In 2023, “generative AI and machine learning start-ups raised about $39.4 billion.” The massive inflows are creating an ideal environment for fraudsters and critics “are starting to wonder whether the latest technology is really transformational or merely evolutionary.”
Tags: Big tech, ChatGPT, Critics, Evolutionary, Fraudsters, Generative AI, Machine learning, Markets, Revolutionary, Skyrocketed, Start-ups, Stock prices, Technology, Transformational, VC
Newsweek (February 16)
“We’re on the cusp of a fourth industrial revolution. First came the steam trains, followed by electricity and after that, information technology—each transforming our working practices and automating jobs previously performed by humans. These days of course, it is robotics, artificial intelligence and machine learning driving the change.” Not only are these being employed to complete routine tasks, “but they are increasingly capable of accomplishing tasks requiring cognitive abilities.”
Tags: AI, Cognitive abilities, Electricity, Industrial Revolution, IT, Jobs, Machine learning, Robotics, Steam trains
Institutional Investor (May 30)
Firms “are doubling down on machine learning and other quantitative investing efforts.” More advanced than rule-based algorithms, “with machine learning, a computer sifts through billions of data points, picking up patterns. Armed with this knowledge, it learns trading behaviors such as buying dips or selling high over time, based on what it has gleaned about the market from past and present data.” Despite the inroads, however, human ingenuity remains essential.
Tags: Algorithms, Computer, Data points, Dip, Firms, Ingenuity, Investing, Machine learning, Market, Patterns, Quantitative, Trading
