Crow Intelligence

Tag: llm

  • The Living Word: Why AI Can’t Walk the Talk

    The Living Word: Why AI Can’t Walk the Talk

    Three years ago, in a bland office at Google’s headquarters, an engineer became convinced that the company’s chatbot had developed consciousness. Blake Lemoine’s widely publicized claims were swiftly dismissed, yet they exemplify a persistent muddle in society’s thinking about artificial intelligence. As language models like ChatGPT churn out increasingly convincing prose, a crucial question emerges: Have machines finally cracked the code of human language?

    The evidence seems compelling at first glance. Modern AI systems engage in witty banter, write passable poetry, and help craft legal briefs. This has led some tech evangelists to revive a bold claim first made by Chris Anderson, former editor of Wired magazine, in 2008: that with enough data, theory becomes unnecessary. “Correlation supersedes causation,” he declared, suggesting that patterns alone could reveal all there is to know about the world. Applied to language, this thinking suggests that by ingesting enough text, machines could master human communication.

    (more…)
  • Are we still sure that language makes us human?

    Are we still sure that language makes us human?

    Understanding LLMs as Tools, Not Agents

    In recent years, Large Language Models (LLMs) like ChatGPT have captured the public imagination with their ability to generate human-like text, leading to bold claims about machine consciousness and artificial linguistic capabilities. These claims often suggest that with enough data and computational power, machines might achieve proper language understanding comparable to humans. However, examining what human language entails reveals fundamental limitations in this perspective. Are LLMs really on the path to becoming conscious linguistic agents, or do we misunderstand the nature of language and the capabilities of these sophisticated pattern-matching systems?

    (more…)