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TED Talks Daily episodes

  • This is the side hustle revolution | Nicaila Matthews Okome
    Past generations found a company to work for and then stayed there for decades. But today, we rarely stay in the same job (let alone on the same career path) and we don't rely on a single income stream. The tools and resources are out there for us to do our own thing, and more of us are going with the entrepreneurial spirit -- even if it's on the side of a traditional job. Podcaster and marketer Nicaila Matthews Okome helps survey the scene.
    4 min
  • How to make applying for jobs less painful | Priyanka Jain
    Finding a job used to start with submitting your résumé to a million listings and never hearing back from most of them. But more and more companies are using tech-forward methods to identify candidates. If AI is the future of hiring, what does that mean for you? Technologist Priyanka Jain gives a look at this new hiring landscape.
    5 min
  • Why working from home is good for business | Matt Mullenweg
    As the popularity of remote working continues to spread, workers today can collaborate across cities, countries and even multiple time zones. How does this change office dynamics? And how can we make sure that all employees, both at headquarters and at home, feel connected? Matt Mullenweg, cofounder of Wordpress and CEO of Automattic (which has a 100 percent distributed workforce), shares his secrets.
    5 min
  • The uncomplicated truth about women's sexuality | Sarah Barmak
    Is women's sexuality actually more complicated than men's? The answer is no, says author Sarah Barmak. In an eye-opening talk, she shows how a flawed understanding of the female body has shaped our culture for centuries, debunking some age-old myths and offering a richer definition of pleasure that gets closer to the (actual) truth about women's sexuality.

    Hosted on Acast. See acast.com/privacy for more information.

    12 min
  • How do we learn to work with intelligent machines? | Matt Beane
    The path to skill around the globe has been the same for thousands of years: train under an expert and take on small, easy tasks before progressing to riskier, harder ones. But right now, we're handling AI in a way that blocks that path -- and sacrificing learning in our quest for productivity, says organizational ethnographer Matt Beane. What can be done? Beane shares a vision that flips the current story into one of distributed, machine-enhanced mentorship that takes full advantage of AI's amazing capabilities while enhancing our skills at the same time.

    Hosted on Acast. See acast.com/privacy for more information.

    10 min

About TED Talks Daily

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