Microsoft CEO Satya Nadella, whose company has invested billions of dollars in ChatGPT maker OpenAI, has had it with the constant hype surrounding AI. During an appearance on podcaster Dwarkesh Patel's show this week, Nadella offered a reality check, arguing that OpenAI's long-established goal of establishing "artificial general intelligence," (AGI) an ill-defined term that roughly denotes the point at which an AI can best humans on an intellectual level, is nonsense. "Us self-claiming some AGI

“The real benchmark is: the world growing at 10 percent,” he added. “Suddenly productivity goes up and the economy is growing at a faster rate. When that happens, we’ll be fine as an industry.”

Needless to say, we haven’t seen anything like that yet. OpenAI’s top AI agent — the tech that people like OpenAI CEO Sam Altman say is poised to upend the economy — still moves at a snail’s pace and requires constant supervision.

  • KingRandomGuy@lemmy.worldEnglish
    2·
    5 hours ago

    I’m a researcher in ML and LLMs absolutely fall under ML. Learning in the term “Machine Learning” just means fitting the parameters of a model, hence just an optimization problem. In the case of an LLM this means fitting parameters of the transformer.

    A model doesn’t have to be intelligent to fall under the umbrella of ML. Linear least squares is considered ML; in fact, it’s probably the first thing you’ll do if you take an ML course at a university. Decision trees, nearest neighbor classifiers, and linear models all are machine learning models, despite the fact that nobody would consider them to be intelligent.