In this thrilling episode, we take you into one night in the 1960s that changed Betty and Barney Hill—walking through their drive, the strange light, and the years of fear, public scrutiny, and hypnotic regression that followed, including verbatim therapy moments and Betty’s under-hypnosis star map.

Will unpack how hypnotic regression can both recover and reshape memory, present skeptical explanations from false memory and science-fiction influence to the Jupiter–Saturn sighting, and trace why the Zeta Reticuli connection still fascinates believers and skeptics alike. Press play and decide where memory ends and myth begins.

Disclaimer: The information, views, comments, and opinions expressed on Podcast "Talking with AI ML" are generated by artificial intelligence and machine learning algorithms. Theinformation, views, comments, and opinions do not reflect the views or positions of the owner/creator(s) or any other party such as but not limited to any past, present, or future employers, organizations, or individuals and are providedfor entertainment purposes only. All content provided is for informational and entertainment purposes. The hosts, guests, and contributors (including creator) make no representations as to the accuracy, completeness, suitability, or validity of any information on this Podcast and will not be liable for anyerrors, omissions, or delays in this information or any losses, injuries, or damages arising from its use. This content is used under the doctrine of Fair Use, Public Domain, No Professional Advice, and External Links: The Podcast may contain links to external websites that are not provided or maintained by or in any way affiliated with the Podcast. Please note that the Podcast does not guarantee the accuracy, relevance, timeliness, or completeness of anyinformation on these external websites.

Is artificial intelligence the ultimate tool for human progress—or a ticking time bomb for our jobs and ethics?

In this episode, we dive into the double-edged reality of AI’s rapid rise. On one side, we explore how machine learning and deep learning are revolutionizing drug discovery, personalized medicine, and pharmaceutical manufacturing. AI is accelerating breakthroughs that once took decades.

On the other side, we confront the growing tension in the workplace: is AI automating us out of relevance, or augmenting our skills for a smarter future? From repetitive task relief to the demand for AI literacy and advanced analytics, the shift is real—and it’s reshaping workforce strategy across industries.

Tune in for a spirited debate on the good vs. bad of AI. We’ll unpack the promises, the pitfalls, and the paradigm shift that’s redefining how we live, work, and heal.

Want to add a guest intro or a teaser quote to kick off the episode?

Disclaimer: The information, views, comments, and opinions expressed on Podcast "Talking with AI ML" are generated by artificial intelligence and machine learning algorithms. Theinformation, views, comments, and opinions do not reflect the views or positions of the owner/creator(s) or any other party such as but not limited to any past, present, or future employers, organizations, or individuals and are providedfor entertainment purposes only. All content provided is for informational and entertainment purposes. The hosts, guests, and contributors (including creator) make no representations as to the accuracy, completeness, suitability, or validity of any information on this Podcast and will not be liable for anyerrors, omissions, or delays in this information or any losses, injuries, or damages arising from its use. This content is used under the doctrine of Fair Use, Public Domain, No Professional Advice, and External Links: The Podcast may contain links to external websites that are not provided or maintained by or in any way affiliated with the Podcast. Please note that the Podcast does not guarantee the accuracy, relevance, timeliness, or completeness of anyinformation on these external websites.

Disclaimer: The information, views, comments, and opinions expressed on Podcast "Talking with AI ML" are generated by artificial intelligence and machine learning algorithms. Theinformation, views, comments, and opinions do not reflect the views or positions of the owner/creator(s) or any other party such as but not limited to any past, present, or future employers, organizations, or individuals and are providedfor entertainment purposes only. All content provided is for informational and entertainment purposes. The hosts, guests, and contributors (including creator) make no representations as to the accuracy, completeness, suitability, or validity of any information on this Podcast and will not be liable for anyerrors, omissions, or delays in this information or any losses, injuries, or damages arising from its use. This content is used under the doctrine of Fair Use, Public Domain, No Professional Advice, and External Links: The Podcast may contain links to external websites that are not provided or maintained by or in any way affiliated with the Podcast. Please note that the Podcast does not guarantee the accuracy, relevance, timeliness, or completeness of anyinformation on these external websites.

In this episode, we break down the current state and future trajectory of artificial intelligence—from booming markets to shifting public perceptions. You’ll learn why the global AI industry is projected to grow fivefold from its current $391 billion valuation, and how cloud computing and transformer models are fueling breakthroughs in healthcare, business, and beyond.

We also dive into revealing data from Pew Research Center: while nearly all AI experts use chatbots daily, only one-third of the U.S. public has tried them. And the public? Far more worried about job loss and AI’s potential harm. Google Cloud’s latest trends show how AI is reshaping work across industries—whether you’re ready or not.

Listen in to understand the forces driving AI adoption, the divide between expert and public sentiment, and what it all means for your future.

Disclaimer: The information, views, comments, and opinionsexpressed on Podcast "Talking with AI ML" are generated byartificial intelligence and machine learning algorithms. The information, views, comments, and opinions do not reflect the views or positions of the owner/creator(s) or any other party such as but not limited to any past, present, or future employers, organizations, or individuals and are providedfor entertainment purposes only. All content provided is for informational and entertainment purposes. The hosts, guests, and contributors (including creator) make no representations as to the accuracy, completeness, suitability, or validity of any information on this Podcast and will not be liable for any errors, omissions, or delays in this information or any losses, injuries, or damages arising from its use. This content is used under the doctrine of Fair Use, Public Domain, No Professional Advice, and External Links: The Podcast may contain links to external websites that are not provided or maintained by or in any way affiliated with the Podcast. Please note that the Podcast does not guarantee the accuracy, relevance, timeliness, or completeness of any information on these external websites.