Powering the Machine: The Inconvenient Truth of AI Efficiency
Tech Talks27 Nov 2024

Powering the Machine: The Inconvenient Truth of AI Efficiency

Firstly, Happy Thanksgiving to our US listeners! Today’s episode brings you a deliciously candid conversation straight from a bustling Lisbon restaurant, Da Noi. Because the best discussions happen over good food, much like your family gatherings today!

We've gathered three tech innovators to unpack the most pressing question in artificial intelligence, can our AI ambitions survive their massive energy appetite? Melissa Yacoub from Obodo, Dominic Vergine of Monumo, and Noel Hurley from Literal Labs serve up insights about AI's hidden environmental cost.

Our guests dive deep into the uncomfortable truth, that current AI technologies consume energy at a rate that's simply unsustainable. From power-hungry data centers to the exponential energy demands of transformer models, they explore why the next big AI innovation might be about efficiency, not just capability.

Highlights include Dominic's provocative take on using AI for truly transformative tasks, Noel's insights into computational efficiency, and Melissa's perspective on responsible tech development.

Grab a slice of pie, settle in, and join us for a Tech Talks episode that's as thought-provoking as your family's post-dinner debate! Happy Thanksgiving, and happy listening!

P.s Jason, carefully with that Turkey!


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The music on Tech Talks is created by London artist Lemzi: ⁠⁠www.lemzi.com⁠

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