What happens when AI becomes so good that we can no longer tell what is real?

In this episode of The NickStandlea Show, Nick sits down with Steve Rosenbaum to talk about AI, misinformation, fake video, social media, education, creativity, and the future of truth.

Steve argues that AI is not simply another new technology. It is a force that may change how we understand reality itself. From deepfake videos and hallucinated facts to algorithmic decision-making and AI-generated media, the conversation explores what happens when machines become confident, persuasive, and often wrong.

But this is not just a doom-and-gloom conversation. Nick and Steve also discuss the real upside of AI: better tools, more creativity, faster work, and new possibilities in law, medicine, education, and the arts. The central question is not whether AI is good or bad. It is whether we can build a future where AI serves human beings instead of quietly reshaping our choices, attention, and trust.

Topics include:

AI-generated video and the future of fake media Why people overestimate their ability to spot AI content ChatGPT hallucinations and “confidently wrong” answers The difference between objective truth and subjective truth What social media can teach us about AI risk Whether AI will make people more productive or less human How students, teachers, and parents should think about AI Hidden incentives behind AI platforms Why “human in the loop” may be too simplistic What ordinary people can do as AI becomes more powerful

This is a conversation about truth, technology, and what it means to stay human in the age of artificial intelligence.

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Learn more about Steve Rosenbaum:

The Future of Truth: https://amzn.to/4vogtRg

Steve on Medium: https://stevenrosenbaum.medium.com/

Steve on LinkedIn: https://www.linkedin.com/in/steven-rosenbaum

Sustainable Media Center: https://sustainablemedia.center/

#AI #ArtificialIntelligence #Truth #Misinformation #Deepfakes #ChatGPT #TheNickStandleaShow #SteveRosenbaum

Detective Julia Bowman was one of the investigators who helped expose John Meehan — the man the world would come to know as Dirty John.

In this episode of The Nick Standlea Show, Julia walks through the real case behind the headlines: how John Meehan manipulated, stalked, threatened, and terrorized the people around him, and how law enforcement began putting the pieces together before the story became a national true-crime phenomenon.

Julia also shares the chilling moment she learned that John Meehan had allegedly tried to put a hit out on her from jail.

This conversation is about more than one criminal. It is about stalking, coercive control, manipulation, victim safety, and how dangerous people can hide in plain sight until someone finally starts connecting the dots.

If you know the Dirty John story from the podcast, documentary, or TV series, this episode gives you the perspective of someone who was actually there.

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Connect with The Nick Standlea Show: YouTube: @TheNickStandleaShow Podcast Website: https://nickshow.podbean.com/ Apple Podcasts: https://podcasts.apple.com/us/podcast/the-... Spotify: https://open.spotify.com/show/0YqBBneFsKtQ... RSS Feed: https://feed.podbean.com/nickshow/feed.xml

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Ask questions, Don't accept the status quo, And be curious.

00:00 Dirty John, stalking, and the hit 01:04 Julia Bowman’s path to detective work 04:25 The stalking case that changed everything 14:31 How Dirty John came onto Julia’s radar 18:02 Why stalking is misunderstood 23:45 How John Meehan targeted a vulnerable patient 36:37 Emotional terrorism and escalating threats 41:05 Tracking down and arresting Dirty John 53:58 The freezer backpack and the hit on Julia 1:06:51 Deborah Newell, Dr. Phil, and the rest of the story 1:24:03 The attack on Terra and John Meehan’s death 1:38:31 Power, control, and why victims stay 2:00:14 Final thoughts and other cases

#DirtyJohn #TrueCrime #JuliaBowman #TheNickStandleaShow #Detective #stalkingawareness

What happens if the companies racing to build superintelligence succeed before anyone knows how to control it?

In this episode, Nick sits down with Malo Bourgon, CEO of the Machine Intelligence Research Institute, to discuss why today’s chatbots are only a stepping stone, why leading AI companies are racing toward systems that could automate AI research itself, and why “letting it rip” may not be an option.

Malo explains why the real concern is not that AI becomes “evil,” but that highly capable systems may pursue goals that are not aligned with human flourishing. He also breaks down why AI systems are more like something we grow than something we program, why alignment remains unsolved, what it means when AI systems resist shutdown or hide behavior during testing, and why MIRI is working on international agreements to prevent a race to uncontrolled superintelligence.

This is not an anti-AI conversation. Malo is an aggressive user of AI agents in his own work. The question is whether we can capture the benefits of AI while avoiding the catastrophic risks of racing too quickly toward systems we do not yet understand how to steer.

Topics include AGI, superintelligence, AI agents, alignment, AI safety, MIRI’s proposed treaty, the future of work, national security, AI governance, and what everyday people can do if they are concerned about where this is headed.

Learn more about Machine Intelligence Research Institute (MIRI): MIRI: https://intelligence.org MIRI Governance: https://techgov.intelligence.org If Anyone Builds It, Everyone Dies: https://ifanyonebuildsit.com

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Connect with The Nick Standlea Show: YouTube: @TheNickStandleaShow Podcast Website: https://nickshow.podbean.com/ Apple Podcasts: https://podcasts.apple.com/us/podcast/the-nick-standlea-podcast/id1700331903 Spotify: https://open.spotify.com/show/0YqBBneFsKtQ6Y0ArP5CXJ RSS Feed: https://feed.podbean.com/nickshow/feed.xml

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Ask questions, Don't accept the status quo, And be curious.

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Chapters: 00:00 The race to superintelligence 00:49 Malo Bourgon joins the show 01:11 Why people are confused about AI risk 03:11 AGI and the original goal of AI 07:07 Companies are racing to superintelligence 09:17 Dario Amodei’s 25% catastrophe concern 10:05 Why the extinction concern is not just hype 15:45 “You don’t get what you train for” 19:29 AI sycophancy and GPT-4o 23:37 AI systems resisting shutdown 27:04 The accelerationist argument 30:18 Are “doomers” actually the optimists? 31:04 Using AI tools while worrying about AI risk 32:18 Sponsor: Zapier 34:42 Violence, Sam Altman, and why peaceful action matters 36:46 MIRI’s proposed AI treaty 44:37 Buying time to solve alignment 47:33 Sudden capability jumps and Anthropic’s Mythos 52:37 Elon Musk, robotics, and concentrated power 55:18 What happens if AI automates cognitive labor? 1:00:10 Bernie Sanders, policymakers, and AI risk 1:07:46 Sponsor: Finding Your Best 1:08:39 How Malo uses AI in his own work 1:10:38 Claude Code, email, calendar, and work systems 1:14:38 Lessons from Wade Foster and Zapier 1:28:44 Social media, AI, and slow government response 1:30:36 AI as a national security issue 1:32:34 What Malo would say to world leaders 1:40:24 Where to learn more