Carbon Chemist

Tag: image generators

  • Roundtables – The AI Economy

    Roundtables – The AI Economy

    [ad_1]

    The AI Economy

    Speakers: Mat Honan, Editor in chief and David Rotman, Editor at large

    There’s no doubt that generative AI will impact the economy—but how, exactly, remains an open question. Despite fears that these AI tools will upend workers and exacerbate wealth inequality, early evidence suggests the technology could actually help level the playing field for some. But only if we deploy it in the right ways. 

    Meanwhile, the demand for chips that underpin modern AI including generative tools is expected to grow significantly. And the US is spending billions to reshore the industry. Global competition for these chips is fierce, with both countries and companies now making unprecedented investments in the sector.

    Related Coverage

    [ad_2]

    Source link

  • Roundtables – How should we regulate AI?

    Roundtables – How should we regulate AI?

    [ad_1]

    How should we regulate AI?

    Speakers: Melissa Heikkilä, Senior reporter for AI and Charlotte Jee, News editor

    There’s little doubt that artificial intelligence will be subject to more regulation in the years ahead. Major tech companies have requested it, and multiple countries and regions are now moving forward with plans to pass new rules governing the technology’s development or use. Broadly speaking, these proposed policies aim to redirect AI toward serving societal goals or address potential biases that put people at risk.

    Related Coverage

    [ad_2]

    Source link

  • Roundtables: How does AI work?

    Roundtables: How does AI work?

    [ad_1]

    Recorded on October 11, 2023

    How does AI work?

    Speakers: Mary Beth Griggs, Science editor and Will Douglas Heaven, Sr Editor for AI

    Everyone’s talking about large language models and image generators built on artificial intelligence. Many people have tested out tools like ChatGPT or DALL-E 2 and been amazed at the results, or disturbed by their tendency to hallucinate. But how do the algorithms underpinning these new generative tools actually work? And what’s the best way to evaluate their capabilities? 

    Related Coverage

    • It’s time to talk about the real AI risks
    • AI hype is built on high test scores. Those tests are flawed.

    [ad_2]

    Source link