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    1. wiredmagazine on

      By Steven Levy:

      Ever since the rollout of ChatGPT in November 2022, many people in science, business, and media have been obsessed with AI. But not everyone agrees, and in recent months there’s been a backlash. AI has been oversold and overhyped, some experts now opine.

      More broadly, though, data from a new Pew Research Center survey indicates that we’re seeing a powerful technology whose rise is just beginning. If you accept Pew’s sample as indicative of all Americans, millions of people are indeed familiar with ChatGPT. And one thing in particular stands out: While 17 percent of respondents said they have used it for entertainment and an identical number says they’ve tried it to learn something new, a full 20 percent of adults say that they have used ChatGPT for work. That’s up dramatically from the 12 percent who responded affirmatively when the same question was asked six months earlier—a rise of two-thirds.

      What’s crazy about that sudden jump in ChatGPT business use from 12 percent to 20 percent is that we’re only at the beginning stages of humans collaborating with these models. And the tools to fully make use of ChatGPT are in a nascent status. That’s changing fast.

      Read todays Plaintext column here: https://www.wired.com/story/plaintext-proof-the-ai-boom-is-people-tapping-chatgpt-at-work/

    2. BothZookeepergame612 on

      Anything that helps people with their productivity, will eventually be adopted in the workplace.

    3. apageofthedarkhold on

      Emails alone: I am NOT good at corporate speak. Chatgpt has likely saved me from being fired from speaking my mind the way I was GOING to answer, by making it more palatable.

    4. king_rootin_tootin on

      This generative AI stuff is not like the Internet in 1996. No. It’s more like the unveiling of the 747 in 1968.

      The Internet changed everything and in 1996 it was brand new and poised for rapid growth and development.

      The 747 was said to be the beginning of a revolution in air travel and that jumbo jets would only get bigger and faster as time went on. Well, over 50 years later, and the 747 is still the mainstay of aviation and has only seen slight improvements. We didn’t get the 8,000 person seating, mach 12 passenger jets we were told we were on the trajectory to get in 1968.

      AI will be the same way. We’re basically at the end of what this generation of AI can do and it is all but guaranteed to not have massive improvements in the years to come. Literally, it can’t be scaled much larger.

      Don’t get me wrong, it will be integrated into things and it will become more wide spread, but it’s far from „revolutionary.“

    5. Strange-Scientist706 on

      To do what exactly? Current models are so pathetically crippled that I can’t see it doing anything actually useful, just pointless shit like rewriting something that’s banal, uninspired, and unintelligible into something banal, uninspired, but with proper grammar.

      This is pretty damn far from discovering a cure for cancer. Try this: take a spreadsheet with 10k rows of any values and have an LLM put the value into one of 5 categories and add it as another row. Simple office job that many of us would come across in our workday (the values and categories don’t matter, pick anything reasonable). Keep track of how long you spend accomplishing this, if you even can.

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