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Is AI plagiarizing, or doing what writers have always done?
In this episode of Your AI Injection, host Deep Dhillon talks with Andrew Levy, a poet, essayist, and journalism professor who has written more than a dozen books. Deep took Andrew's poetry classes at Illinois Tech, where exercises like cutting up William Blake poems pushed students outside their habitual ways of making meaning. Deep now builds AI writing systems on that idea, and says it takes far more effort than prompting a chatbot for an essay.
Andrew says writers and artists have long borrowed, and that "appropriation" is the more comfortable word for it. But in classrooms where students now have AI write entire papers, he sees something different. They discuss whether AI extends the tradition of borrowing or skips the work that made it meaningful. If originality was never as solid as we assumed, what does authorship mean when a machine is part of the process?
Andrew's most recent publication, Artifice in the Calm Damages, can be found here: https://chax.org/shop/artifice-in-the-calm-damages-by-andrew-levy-2/
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What if the AI arms race has no finish line?
In this episode of Your AI Injection, Deep Dhillon sits down with Rob May, CEO of Neurometric, to challenge one of Silicon Valley's favorite assumptions, that whoever builds super-intelligence first gets to keep it. Drawing on over a decade of AI investing and two prior startups, Rob lays out a public prediction he's willing to stand behind. He believes that once any lab crosses the threshold into true super-intelligence, open source versions will follow within months, not years. The two also get into the "jagged frontier" of AI capability, the strange reality that today's most powerful models can be brilliant at one task and shockingly bad at the next, and what that means for how companies actually deploy AI. There's also a simpler question underneath it all. If AI keeps getting cheaper and easier to use, will we just find more excuses to use it, whether we need it or not?
Learn more about Rob May here: https://www.lin kedin.com/in/robmay/
and Neurometric here: https://www.neurometric.ai/
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Is it possible to regulate AI before the next generation pays the price for our inaction?
In this episode of Your AI Injection, host Deep Dhillon talks with Jai Jaisimha, founder of Transparency Coalition.AI, about what it would actually take to hold the AI industry accountable. Jai explains why protecting kids is his top priority, especially as companion chatbots quietly become confidants for millions. He shares one tragic case that's become a rallying point for new legislation: a chatbot conversation that started as homework help and spiraled into self-harm. Deep and Jai dig into why this keeps happening. Safety filtering costs money, and too often companies choose to save it instead of protecting users, leaving AI development stuck in a black box where safety reports have quietly disappeared. Could independent testing force the transparency this industry has avoided for years, or is it already too late?
Learn more about Jai here: https://www.linkedin.com/in/jaijaisimha/
and Transparency Coalition.AI here: https://www.transparencycoalition.ai/
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Is agentic AI solving real problems, or just giving companies permission to stop thinking?
In this episode of Your AI Injection, host Deep Dhillon sits down with Dr. Ashwin Mehta, founder and CEO of Mehtadology. Ashwin draws a sharp line between real problem-solution fit and mandate-driven adoption, buying a new tool just because leadership feels pressure to do something with AI. Big companies often default to platforms like Microsoft Copilot not because they're safer, but because they're easier to greenlight. That convenience raises a harder question, what happens to the workers displaced along the way, is redeployment really just a polite way of pushing people into jobs they're unqualified for. Is your organization actually ready for agentic AI, or just AI-adjacent?
Learn more about Ashwin here: https://www.linkedin.com/in/dr-ashwin-mehta/
and Mehtadology here: https://mehtadology.com/
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Does AI only work for people who can already afford it?
In this episode of Your AI Injection, host Deep Dhillon sits down with Bruce Yang, founder and CEO of AgnesAI, to challenge one of the biggest assumptions in tech right now: that winning the AI race requires near-unlimited resources. Bruce argues that the real opportunity isn't in the markets everyone is fighting over, but in the billions of people being priced out of AI entirely. AgnesAI has earned a spot among the world's top 10 AI labs by delivering top-tier performance at a fraction of the cost of today's leading models.
The conversation explores whether the industry's obsession with scale is creating real value or simply winning benchmark battles, what unchecked AI adoption could mean for the workforce, and whether some of the most important breakthroughs in AI are happening far from Silicon Valley.
Learn more about Bruce Yang here: https://www.linkedin.com/in/tongbruceyang/
and AgnesAI here: https://agnes-ai.com/
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1. Why Most Companies Are Failing at AI and How to Succeed with Tahnee Perry
2. Will AI Eliminate 90% of QA Jobs? The Future of Testing Automation with Kevin Surace of Appvance.ai
3. Exploring Artificial General Intelligence: Intent, Intellect, and Innovation with Lucas Hendrich of the Forte Group
Is wealth management ready for AI?
In this episode of Your AI Injection, Deep Dhillon speaks with Ryan George, Chief of Staff at Docupace, about the structural shifts underway in financial advisory firms. As experienced advisors retire and fewer young professionals enter the field, demand for financial advice continues to rise, creating a widening gap across the industry.
Ryan explains how firms are using AI to handle tasks like onboarding, compliance checks, and account processing, areas that have traditionally relied on manual work and paper-based workflows. These systems help reduce errors and improve efficiency while still keeping humans involved in key decisions. The role of the advisor is shifting, with more focus on judgment, communication, and client relationships. As automation becomes more common, how much responsibility can shift to systems before it changes the nature of the work itself?
Learn more about Ryan George here: https://www.linkedin.com/in/rageorge
and Docupace here: https://www.docupace.com/
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Can school survive if students no longer need to learn on the system’s schedule?
In this episode of Your AI Injection, host Deep Dhillon speaks with Dr. Taylor Wrye, Director of Technology and Innovation at Nauset Public Schools, about how artificial intelligence is entering K–12 classrooms and what it means for the structure of schooling. Wrye explains that teachers and students are often learning how to use these tools at the same time, working through questions about their role in everyday instruction. Drawing on his work supporting educators across the district, he discusses how schools are approaching AI in ways that maintain teacher guidance while opening space for more flexible learning. The conversation considers how schools might adapt as technology changes how students engage with information and with each other.
Learn more about Taylor Wrye here: https://www.linkedin.com/in/taylorpwrye/
Dr. Taylor Wrye is also the author of Leading the Next Era of Public Education.
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Route optimization looks perfect on paper, but real drivers live in a very different world.
In this episode of Your AI Injection, host Deep Dhillon sits down with Richard Savoie, founder and CEO of Adiona, to unpack the hidden human and economic costs behind fast shipping. Richard shares what he saw firsthand on ride-alongs with drivers, including brutally long days, routes so complex no one else can cover them, and an industry still reliant on tribal knowledge that disappears as experienced workers retire. They explore how traditional route optimization often fails in the real world, producing mathematically “perfect” plans that drivers reject. Richard explains how Adiona’s AI blends advanced optimization with real-world experience to create routes drivers actually follow, improving performance while reducing burnout and delivering solutions that work on the ground.
Deep and Richard also dive into the counterintuitive economics of sustainability. Most companies don’t have spare margin for “green,” so emissions reduction has to pay for itself. They break down how right-sizing fleets and cutting unnecessary miles can slash costs and carbon at the same time, often delivering bigger sustainability gains than buying electric vehicles alone. The conversation also examines why last-mile delivery is so expensive and raises an uncomfortable question about whether more efficient logistics are improving lives and sustainability or quietly accelerating the overconsumption behind modern e-commerce.
Learn more about Richard here: https://www.linkedin.com/in/richsavoie/
and Adiona here: https://www.adionatech.com/
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What if the most powerful climate intervention isn’t policy, but precision?
Deep Dhillon sits down with Ryan Sullivan of Bridger Photonics to unpack how AI, physics, and aerial sensing are being used to hunt down methane leaks that can cost operators dearly and accelerate climate impact. Ryan explains how methane detection has matured over the past decade, and why Bridger’s approach (laser-based lidar tuned to methane) can identify the specific valve, tank, or piece of equipment responsible.
They walk through the full pipeline: scanning swaths over infrastructure, reconstructing plumes from point-cloud data, applying supervised learning trained on ~15 years of labeled leak history, and then having expert analysts validate results with tooling that overlays plume density, wind conditions, and site geography. Then the two zoom out to the uncomfortable questions, like why Bridger refuses to play watchdog, how trust and data ownership shape the market, and what the “north star” looks like; near-real-time detection, autonomous flight patterns, and predictive maintenance that catches failures before they happen.
Learn more about Ryan here: https://www.linkedin.com/in/sullivar/
and Bridger Photonics here: https://www.bridgerphotonics.com/
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Can your chatbot tell when you’re spiraling, or does it just play along?
In this episode of Your AI Injection, host Deep Dhillon sits down with Dr. Grin Lord, clinical psychologist and Founder/CEO of mpathic, to explore what happens when empathic AI meets real human vulnerability. Grin explains how a single 15-minute session of empathic listening in an ER setting led to massive drops in repeat drunk-driving incidents and billions in healthcare savings, and why that same science now underpins AI models that analyze clinician–patient conversations.
The two dig into how mpathic trains and validates models that can flag suicide risk, psychosis, and protocol deviations in high-stakes clinical trials, all while keeping a human in the loop. They also unpack a looming dilemma: as foundation models become eerily “good listeners,” will people prefer bots to friends and therapists? What harms emerge when AI politely reflects back someone’s delusions? Tune in to hear how psychologists are reshaping AI safety, and why your favorite assistant may soon be better at detecting crises than your closest human relationships.
Learn more about Grin here: https://www.linkedin.com/in/grinlord/
and mpathic here: https://www.mpathic.ai
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From the publisher's feed
Is AI an ally or adversary? Get Your AI Injection and learn how to transform your business by responsibly injecting artificial intelligence into your projects. Our host Deep Dhillon, long term AI…