3D AGO · BONUS

Bonus: $1 Million Dollar Episode - Listen Like Your Life Depends On It

This bonus episode peels back the curtain on the MrBeast × Salesforce million‑dollar puzzle. If you’re even thinking about playing, stop what you’re doing and listen — this episode condenses the tactics, traps, and timing you need to be first with the correct code. Episode SummaryWe walk through the exact mindset and workflow winners use: how to harvest hidden clues, validate fragments, and execute a flawless, timestamped Slack submission. Expect concrete, actionable steps you can run solo or with a small team, plus the common mistakes that cost people the prize. This is not theory — it’s a battle plan for the person who wants to win. What You’ll Learn Priority checklist for the first 48 hours so you never miss a drop.Technical shortcuts that turn hours of manual work into minutes.Validation rules that prevent false positives and costly premature submissions.Submission protocol that preserves proof and maximizes your claim legitimacy.Ethical and legal red lines you must never cross.How to Use This EpisodeListen once for the big picture, then replay the tactical segments while you set up your tools and team. Use the episode as your checklist during the final countdown and keep the show open on a second device while you prepare to submit. This is the episode you’ll replay at T‑minus 5 minutes. Treat it like a playbook, not entertainment — one careful move could net you a million dollars. MrBeast and SalesforceDisclaimer: The information, views, comments, and opinions expressed on Podcast "Talking with AI ML" are generated by artificial 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 provided for 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. Fair Use: Certain content within the Podcast may be derived from sources that are protected under copyright laws. This content is used under the doctrine of fair use for purposes such as criticism, comment, news reporting, teaching, scholarship, and research. We believe this constitutes a fair use of any such copyrighted material as provided for in Section 107 of the U.S. Copyright Law. Public Domain: Some of the materials used in this Podcast may be in the public domain. Public domain materials are not subject to copyright protection and can be freely used by anyone. No Professional Advice: The information provided on this Podcast should not be considered professional advice. Listeners should not act upon any information provided on the Podcast without seeking professional advice. 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. Content Responsibility: The Podcast hosts, guests, and contributors are not responsible for the content of any external websites or third-party services mentioned in the Podcast.

15 min

4D AGO

#131 - Valentine's Day Proposal Disasters: How to Avoid Them

Valentine’s Day proposals are supposed to be magical — but some go so wrong they become legend. In this episode, the host breaks down real stories of proposals that crashed and burned: mistimed ring reveals, public rejections, last‑minute confessions, and romantic plans derailed by panic, pressure, or poor judgment. But we don’t just tell the stories. We dig into the psychology behind them — why people propose for the wrong reasons, why high‑pressure moments trigger fear or self‑sabotage, and how expectations on Valentine’s Day can push couples into emotional chaos. And in a few surprising cases, we’ll see how a disastrous proposal actually led to long‑term love. Disclaimer: The information, views, comments, and opinions expressed on Podcast "Talking with AI ML" are generated by artificial 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 provided for 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.

38 min

FEB 2

#130 - Persuasive Fabrication: How to Spot AI Deepfakes

This episode dives into the rising threat of generative AI and the growing difficulty of maintaining multimedia integrity in a world where synthetic images, voices, and videos can circulate faster than facts. Rather than leaning solely on technical detection tools, the conversation centers on human‑centered strategies that anyone can use to stay grounded and avoid being manipulated by social engineering or misinformation campaigns. Listeners learn how to practice lateral reading, opening multiple independent tabs to compare sources, trace claims back to their origins, and evaluate whether the narrative holds up across reputable outlets. The episode also explores information triangulation, a simple but powerful habit that helps cut through noise by checking consistency across unrelated sources rather than relying on a single post or viral clip. From examining metadata and timestamps to recognizing emotional manipulation cues, the episode emphasizes that authenticity verification is never one‑dimensional. It requires a blend of updated media literacy, critical thinking, and a willingness to slow down before reacting. The closing message is clear and urgent:Before you post, pause. Verify. Then post responsibly.Don’t amplify unverified claims. Don’t escalate anger. In a digital environment saturated with synthetic content, de‑escalation is a civic duty—and one of the most powerful tools we have left to protect the truth. Disclaimer: The information, views, comments, and opinions expressed on Podcast "Talking with AI ML" are generated by artificial 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 provided for 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.

30 min

JAN 26

#129 - When the Bots Clock In: Jobs at Risk

A clear, practical guide for workers navigating the AI era. This episode unpacks how artificial intelligence is reshaping the labor market, why some roles face real displacement risk, and which human skills remain irreplaceable. We trace predictions from industry leaders and translate them into everyday career strategy: move from executing tasks to owning problems, stack technical know‑how with interpersonal strengths, and prioritize regulated, hands‑on fields like skilled trades and healthcare that resist automation. Listeners will leave with a concrete three‑step playbook for short‑term reskilling, building an AI‑augmented portfolio, and choosing resilient career paths that deliver value AI can’t easily replicate. Disclaimer: The information, views, comments, and opinions expressed on Podcast "Talking with AI ML" are generated by artificial 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 provided for 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. Fair Use: Certain content within the Podcast may be derived from sources that are protected under copyright laws. This content is used under the doctrine of fair use for purposes such as criticism, comment, news reporting, teaching, scholarship, and research. We believe this constitutes a fair use of any such copyrighted material as provided for in Section 107 of the U.S. Copyright Law. Public Domain: Some of the materials used in this Podcast may be in the public domain. Public domain materials are not subject to copyright protection and can be freely used by anyone. We make reasonable efforts to determine the public domain status of materials used and to attribute the correct sources. No Professional Advice: The information provided on this Podcast should not be considered professional advice. Listeners should not act upon any information provided on the Podcast without seeking professional advice. This Podcast is not intended to replace professional consultation in any field, including but not limited to medical, legal, financial, or other professional services. 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. Content Responsibility: The Podcast hosts, guests, and contributors are not responsible for the content of any external websites or third-party services mentioned in the Podcast. The inclusion of any links or references does not imply endorsement of the views expressed therein. Changes to This Disclaimer: The Podcast reserves the right to amend this disclaimer at any time without prior notice. By continuing to listen to this Podcast, you agree to be bound by the current version of this disclaimer.

17 min

JAN 19

#128 - Arctic Stakes: The U.S., Greenland, and the Future of NATO

In this episode we unpack President Donald Trump’s 2025 declaration to acquire Greenland and why that rhetoric has reignited old debates about territory, security, and sovereignty. We trace how Iceland and Denmark reacted with alarm, why many Icelandic citizens now view U.S. interest in the Arctic as a direct threat, and how European partners are pivoting toward the European Union for deeper security ties. Through historical context, expert analysis, and on-the-ground reporting, we explore whether unilateral American moves to secure Arctic resources and counter Russian and Chinese influence could fracture NATO and trigger economic retaliation from Europe. This is more than a territorial dispute. It’s a test of alliance trust, a flashpoint in great-power competition, and a moment when climate-driven access to new shipping lanes and resources collides with long-standing norms about sovereignty. The outcome could redefine NATO’s internal politics and Europe’s security posture for years to come. Disclaimer: The information, views, comments, and opinions expressed on Podcast "Talking with AI ML" are generated by artificial 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 provided for 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. Fair Use: Certain content within the Podcast may be derived from sources that are protected under copyright laws. This content is used under the doctrine of fair use for purposes such as criticism, comment, news reporting, teaching, scholarship, and research. We believe this constitutes a fair use of any such copyrighted material as provided for in Section 107 of the U.S. Copyright Law. Public Domain: Some of the materials used in this Podcast may be in the public domain. Public domain materials are not subject to copyright protection and can be freely used by anyone. We make reasonable efforts to determine the public domain status of materials used and to attribute the correct sources. No Professional Advice: The information provided on this Podcast should not be considered professional advice. Listeners should not act upon any information provided on the Podcast without seeking professional advice. This Podcast is not intended to replace professional consultation in any field, including but not limited to medical, legal, financial, or other professional services. 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. Content Responsibility: The Podcast hosts, guests, and contributors are not responsible for the content of any external websites or third-party services mentioned in the Podcast. The inclusion of any links or references does not imply endorsement of the views expressed therein.

13 min

JAN 12

#127 - AI Therapy and Companionship

In this episode we map the fast‑moving frontier where generative AI meets mental health, exploring how tools like Wysa, Talkspace, and HeartBond are reshaping access to care. We unpack the real benefits—lower costs, 24/7 check‑ins, and tailored support for groups often left behind, from older adults to neurodivergent youth—alongside the human stories that show why these systems can feel life‑changing. We also confront the darker side: privacy breaches, emotional over‑dependence, and algorithmic echo chambers that can amplify harmful thinking. Several documented safety failures—chatbots giving inappropriate crisis advice—drive home a stark warning about the lethal risks of substituting unregulated algorithms for trained clinicians. Experts and advocates in the episode call for transparency, youth participation in policy design, and rigorous clinical validation to prevent harm. The conversation closes on a pragmatic consensus: AI should supplement, not replace, human care. We outline what a hybrid model looks like—automated efficiency paired with clinician oversight, clear escalation pathways, and ethical guardrails—to preserve empathy while scaling support. Listeners will come away with a clearer sense of the promise, the peril, and the policy choices that will determine whether AI becomes a trusted ally or a dangerous shortcut in mental‑health care. Disclaimer: The information, views, comments, and opinions expressed on Podcast "Talking with AI ML" are generated by artificial 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 provided for 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. Fair Use: Certain content within the Podcast may be derived from sources that are protected under copyright laws. This content is used under the doctrine of fair use for purposes such as criticism, comment, news reporting, teaching, scholarship, and research. We believe this constitutes a fair use of any such copyrighted material as provided for in Section 107 of the U.S. Copyright Law. Public Domain: Some of the materials used in this Podcast may be in the public domain. Public domain materials are not subject to copyright protection and can be freely used by anyone. We make reasonable efforts to determine the public domain status of materials used and to attribute the correct sources. No Professional Advice: The information provided on this Podcast should not be considered professional advice. Listeners should not act upon any information provided on the Podcast without seeking professional advice. This Podcast is not intended to replace professional consultation in any field, including but not limited to medical, legal, financial, or other professional services. Content Responsibility: The Podcast hosts, guests, and contributors are not responsible for the content of any external websites or third-party services mentioned in the Podcast. The inclusion of any links or references does not imply endorsement of the views expressed therein.

36 min

JAN 5

#125 - Clear Steps, Real Results: Your Health & Wealth Blueprint

Start the new year with clarity and confidence. In this episode, we break down a quick, clear, and easy 30/60/90 day plan designed to help you improve both your health and wealth. Drawing from proven frameworks in financial discipline, physical readiness, and mental resilience, we’ll show you how to: Build fiscal stability with smart budgeting, emergency funds, and professional guidance.Establish physical strength and endurance through aerobic activity, strength training, and performance nutrition.Strengthen mental resilience with stress‑management tools, better sleep hygiene, and simple breathing techniques.By the end of this episode, you’ll have a practical roadmap for the next three months—one that balances financial responsibility, physical vitality, and mental clarity. It’s about creating sustainable habits that optimize your performance and set you up for long‑term stability.

15 min

JAN 3 · BONUS

Bonus Ep. Operation Absolute Resolve - Overview leading up to Maduro and his wife of Venezuela

We break down Operation Absolute Resolve, the stunning January 2026 U.S. military intervention that ended with the capture of Nicolás Maduro and his wife. What began as months of quiet naval buildup and targeted strikes on suspected drug‑trafficking vessels erupted into one of the most consequential foreign policy actions in recent history. We explore what’s been confirmed so far: the Trump administration’s framing of the mission as a campaign against narco‑terrorism, the international backlash accusing the U.S. of violating Venezuelan sovereignty, and the growing domestic debate over legal authority and reported civilian casualties. Beyond the politics, we look at the global ripple effects — including early signals from energy analysts who expect Venezuela’s transition to reshape oil markets as U.S. firms move to rebuild the country’s long‑neglected energy infrastructure. Disclaimer: The information, views, comments, and opinions expressed on Podcast "Talking with AI ML" are generated by artificial 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 provided for 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. Fair Use: Certain content within the Podcast may be derived from sources that are protected under copyright laws. This content is used under the doctrine of fair use for purposes such as criticism, comment, news reporting, teaching, scholarship, and research. We believe this constitutes a fair use of any such copyrighted material as provided for in Section 107 of the U.S. Copyright Law. Public Domain: Some of the materials used in this Podcast may be in the public domain. Public domain materials are not subject to copyright protection and can be freely used by anyone. We make reasonable efforts to determine the public domain status of materials used and to attribute the correct sources. No Professional Advice: The information provided on this Podcast should not be considered professional advice. Listeners should not act upon any information provided on the Podcast without seeking professional advice. This Podcast is not intended to replace professional consultation in any field, including but not limited to medical, legal, financial, or other professional services. 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. Content Responsibility: The Podcast hosts, guests, and contributors are not responsible for the content of any external websites or third-party services mentioned in the Podcast. The inclusion of any links or references does not imply endorsement of the views expressed therein. Changes to This Disclaimer: The Podcast reserves the right to amend this disclaimer at any time without prior notice. By continuing to listen to this Podcast, you agree to be bound by the current version of this disclaimer.

14 min

Talking with AI ML

Bonus: $1 Million Dollar Episode - Listen Like Your Life Depends On It

#131 - Valentine's Day Proposal Disasters: How to Avoid Them

#130 - Persuasive Fabrication: How to Spot AI Deepfakes

#129 - When the Bots Clock In: Jobs at Risk

#128 - Arctic Stakes: The U.S., Greenland, and the Future of NATO

#127 - AI Therapy and Companionship

#125 - Clear Steps, Real Results: Your Health & Wealth Blueprint

Bonus Ep. Operation Absolute Resolve - Overview leading up to Maduro and his wife of Venezuela

Trailer

Trailer: Welcome to "Talking with AI ML" - Overview of AI ML

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Talking with AI ML

Episodes

Bonus: $1 Million Dollar Episode - Listen Like Your Life Depends On It

#131 - Valentine's Day Proposal Disasters: How to Avoid Them

#130 - Persuasive Fabrication: How to Spot AI Deepfakes

#129 - When the Bots Clock In: Jobs at Risk

#128 - Arctic Stakes: The U.S., Greenland, and the Future of NATO

#127 - AI Therapy and Companionship

#125 - Clear Steps, Real Results: Your Health & Wealth Blueprint

Bonus Ep. Operation Absolute Resolve - Overview leading up to Maduro and his wife of Venezuela

Trailer

About

Information