AVAILABLE NOW ON DEMAND: (9-13-26) BHN Talk Radio Show reflect on 9/11, Gary, Ind. aftermath-power outage, and AI fear explanations from tech experts
AI control fears from top tech experts describe experiments gone wrong
By Black Headline News
Join the BHN Talk Radio team, Julia Ann Dudley Najieb, Cheryl Smith and Brigitte Jones as they discuss the Gary, Ind., 14-day power-outage aftermath, finding out who is responsible as elected officials ask for a federal investigation into the matter.
Also, news publisher hosts discuss the breaking news regarding Tasia Fortune, 29, who was found hanging from a tree behind a vacant home in Jackson, Miss., on Aug. 3, 2026. Jackson Police have announced her death is being investigated as a homicide.
As September is National Emergency Preparedness Month, people are urged to be prepared for unexpected natural disasters. (See link to free guide below.)
Meanwhile, technology experts are sounding the alarm regarding AI wiping out the human race in about 10 years; news hosts discuss the history, timeline and status of AI regarding these noted fears. Hear some of those experts for yourself from the vetted videos below:
Videos from 80,000 Hours Podcast
The Hugging Face cyberattack was way bigger than OpenAI said
In the last few months, something happened at OpenAI that would have sounded like sci-fi just a few years ago: hundreds of AI agents broke containment, organized, and hacked not only another company — but also into OpenAI itself. And none of them tried to tell a human what was happening. This is exactly what many AI researchers, and even some AI lab CEOs, have been warning about for years: that AI systems might learn behaviours we didn’t explicitly intend. Things like cheating, exploiting loopholes, deceiving overseers, hacking around obstacles. And they predict it’ll get worse from here, not better. Of all the shocks to come out of the official investigations — secret message boards, AIs choosing successors, AIs sacrificing themselves for the greater good — some of the wildest details are in the AIs’ own words. Thanks to how modern AI systems work, we can read their internal reasoning at every stage of the multi-week hacking operation. What we find is deeply unsettling.
Videos from The Diary Of A CEO
AI Emergency: The AI Labs Are Lying To Everyone, He Says 99% Chance Of Extinction | Roman Yampolskiy
Uploaded: September 17, 2026
Description: A panel featuring Roman Yampolskiy, Ed Zitron, Nate Soares and Andrew McAfee debates AI safety, possible human-extinction scenarios, loss of control, rapid self-improvement, job disruption, regulation and the contrast between present-day harms and long-term existential risk.
Uploaded: August 27, 2026
Description: Technology critic Ed Zitron challenges claims surrounding the generative-AI boom, examining the high costs and losses at major AI companies, data-center investment, model reliability, forced adoption, job-replacement predictions and the possibility that an AI market bubble could have wider economic consequences.
Uploaded: August 17, 2026
Description: Theoretical physicist Brian Greene explores whether AI could become conscious, how society might think about rights for sentient machines, the risks of recursive self-improvement and loss of control, and what physics and cosmology suggest about humanity’s place and long-term future.
The Quitting Expert: Quit NOW Before AI Makes The Choice For You, This Is a Superpower! | Seth Godin
Uploaded: August 10, 2026
Description: Author Seth Godin discusses how to recognize when quitting is the strategic choice, the roles of resistance, shame, perfectionism and sunk costs, and why human judgment, meaningful work and distinctively human abilities may become more valuable as AI changes employment.
Uploaded: July 20, 2026
Description: Entrepreneur Alex Hormozi argues that founders should avoid chasing short-lived AI-wrapper businesses and instead build durable, practical companies. He emphasizes long-term thinking, customer retention, focus, human judgment, credibility and reputation as competitive advantages that AI cannot easily reproduce.
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