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AI Diatribe

Podcast by AI Diatribe

English

Technology & science

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About AI Diatribe

Breaking down AI—one rant at a time! Real talk on AI’s biggest breakthroughs, boldest claims, and real-world impact. AI Diatribe delivers sharp insights that cut through the noise. Follow for bold takes, fresh perspectives, and the occasional AI rant.

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36 episodes

episode Episode 36: Bolt AI On Later and You Already Lost! artwork

Episode 36: Bolt AI On Later and You Already Lost!

The models are getting worse. Jon Rolls noticed it in his codebase. Jason noticed it in production. Matt noticed the pattern across the whole industry. When AI is writing the next version of AI, the quality floor starts moving in the wrong direction — and nobody in the press is asking the right questions about why. Jon is a 30-year endpoint management veteran building Tassient, an RMM platform with AI embedded from day one — not bolted on as an afterthought. He's watched agents improvise solutions to networking problems that most engineers wouldn't think to attempt. He's also watched them silently delete code. The gap between what AI can do and what it reliably does is still real, and anyone telling you otherwise is selling something. The conversation covers the economics of inference versus training, whether creative destruction can still hold up when humans can't retrain fast enough, and the gun-or-shooter debate — which turns out to be more divisive than it sounds. The takeaway: the human in the loop isn't a failsafe. It's still the only reason any of this works. Listen/Watch on YouTube, Spotify, Apple Podcasts, and Amazon Podcasts. #AIDiatribe #JonRolls #Tassient #RMM #AIAgents #EndpointManagement #AIProductivity #LocalAI #ArtificialIntelligence #Tech #FutureOfWork #ContextEngineering

21 May 2026 - 49 min
episode Episode 35: Customer Service Has Been the AI Future for 20 Years… Now What? artwork

Episode 35: Customer Service Has Been the AI Future for 20 Years… Now What?

Customers got used to good service during COVID. Then organizations pulled back investment. Satisfaction cratered — not because the bar was lowered, but because people had already adjusted upward. That cycle is where this conversation starts. ContentGuru Deputy CEO Martin Taylor has been automating contact centers for over 30 years. He's watched AI go from dial trees to agentic models, seen Klarna fire its support staff and rehire them, and he has a view on what actually produces ROI and what's still mostly noise. His framing: 97.6% of contact center spend is labor. If 58% of that gets automated by 2032, the math for CX tech vendors gets very interesting - but only if the customer data is clean, the processes are sound, and the AI isn't just accelerating bad habits. His conversation with Jason Lowe and Matt Konwiser also moves into data sovereignty architecture, whether companies like Apple could become fiduciaries of your digital life, where the EU AI Act gets it right and where it punts, and why the trough of disillusionment may never fully arrive - not because AI is immune to it, but because capability keeps refreshing before disappointment can set in. The companies waiting to see how this plays out are already behind. #AIDiatribe #CustomerExperience #ContactCenter #MartinTaylor #ContentGuru #AgenticAI #CXTechnology #DataSovereignty #AIAdoption #AI #Tech #CustomerService

14 May 2026 - 48 min
episode Episode 34: The AI Doc - Watch It Alone and You’re Doing It Wrong artwork

Episode 34: The AI Doc - Watch It Alone and You’re Doing It Wrong

There's a documentary out right now that frames AI's future as a question about whether it's safe to bring a child into this world. That's not a metaphor. That's the actual premise. Jason Lowe and Matt Konwiser watched it separately, compared notes, and have thoughts - not all of them flattering. The film gets credit for putting Hinton and Altman in the same narrative without letting either one win. It also gets called out for the voices it left out entirely - including Yan LeCun, who may have been too neutral to make good cinema. The panel discussion Matt attended at NYU afterward added a layer the film itself doesn't quite reach. What this episode is actually about: whether optimism about AI is something you reason your way into, or something you have to actively train yourself to hold. Matt's P-Doom score is still sitting at 50. Jason's hasn't moved either. The movie didn't change their numbers. That might be the most honest thing you'll hear about it. Watch the documentary. Then watch it with other people. Watch/Listen on YouTube, Spotify, Apple Podcasts, and Amazon Podcasts. #AIDiatribe #AI #ArtificialIntelligence #AIDocumentary #ApocolOptimist #GeoffreyHinton #SamAltman #PDoom #AIEthics #AIImpact #TechPodcast #AIPolicy

7 May 2026 - 29 min
episode Episode 33: Physics, Latency, and Why Your AI Voice Agent Sounds Stupid artwork

Episode 33: Physics, Latency, and Why Your AI Voice Agent Sounds Stupid

You've screamed "agent" into a phone menu and gotten another phone number back. That experience isn't a technology problem, it's a design problem. Companies are treating AI voice agents like IVR replacements, and they're getting worse IVRs. AI Diatribe Host Jason Lowe and Co-Host Matt Konwiser speak with David Casem, CEO of Telnyx, who has been building real-time AI communication infrastructure since before most people knew what SIP trunking was. His take is direct: the interim state of AI in customer communications involves more head-banging, not less - because most companies are grafting LLMs onto the same broken logic trees they always had. He also gets into something the model debate largely ignores: the physics of voice. When your speech-to-text engine, LLM, and text-to-speech stack are spread across three different coasts you're not building a conversation, you're engineering a delay. There's also a blunt question in here about where the AI doom narrative actually comes from - and who benefits from it. Listen on YouTube, Spotify, Apple Podcasts, and Amazon Podcasts. #AIDiatribe #AI #VoiceAI #DavidCasem #Telnyx #ContactCenter #AIAgents #OpenSource #SIPTrunking #LLMs #AIInfrastructure #TechPolicy

30 Apr 2026 - 31 min
episode Episode 32: Kids Growing Up Now Will Only Ever Know a World With AI artwork

Episode 32: Kids Growing Up Now Will Only Ever Know a World With AI

There's a real legal case where grieving high school students used Character.ai to interact with a deceased classmate. The parents sued. Everyone in this conversation had a different reaction to that — and none of them fully wrong. That's the kind of problem this episode keeps circling: not whether AI and children is a risk (it is), but who gets to define the harm, who owns the memory of a person once they're gone, and whether our instinct to protect kids is sometimes just discomfort with a technology we don't fully understand. Dr. Nomisha Kurian, child AI safety researcher, and Jake Rozran, co-founder of MyDD.ai, join AI Diatribe Host Jason Lowe and Co-Host Matt Konwiser to work through grief bots, the sycophancy of AI-simulated relatives, the empathy gap in LLMs, and one under-discussed idea: that playfulness might be a more effective child safety feature than restriction. There's also a hard question about what happens to child development if the next pandemic hits while generative AI is already embedded in daily life. The answer isn't governance. Matt makes that point clearly. Ethics has to be baked into the systems, because we can't trust people to configure their own moral constraints. Listen on the channel of your choice. #AIDiatribe #AIAndChildren #ChildSafetyAI #GriefTech #NomishaKurian #JakeRozran #AIEthics #GenerativeAI #AI #DigitalParenting #AILiteracy

23 Apr 2026 - 42 min
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