DiscoverTechTime with Nathan Mumm
TechTime with Nathan Mumm

TechTime with Nathan Mumm

Author: Nathan Mumm

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You can grab your weekly technology without having to geek out on TechTime with Nathan Mumm. The Technology Show for your commute, exercise, or drinking fun. Listen to the best 60 minutes of Technology News and Information in a segmented format while sipping a little Whiskey on the side. 

We cover Top Tech Stories with a funny spin, with information that will make you go Hmmm. Listen once a week and stay up-to-date on technology in the world without getting into the weeds. 

This Broadcast style format is perfect for the everyday person wanting a quick update on technology, with two fun personalities driving the show Mike and Nathan. Listen once, Listen twice, and you will be sold on the program. @TechtimeRadio | #TechtimeRadio.com | www.techtimeradio.com






326 Episodes
Reverse
AI isn’t just writing emails anymore. It’s reading genetic code, nudging prices, shaping what voters see, and quietly training us to stop thinking for ourselves, and that’s why our Halloween special hits harder than usual. We start with three fast-moving headlines that show how wide the blast radius has become: Carbon X, the AI model that lets researchers “chat with DNA” in plain English on a local laptop; the McDonald’s lawsuit that could become a landmark test for AI pricing recommendation...
AI is starting to mess with something we rarely question: our own memory. We kick things off with research that shows how an AI-generated summary can implant details that never happened, cutting memory accuracy nearly in half even when people know the source is AI. If our recollection is this easy to bend, what does “human in the loop” really mean when we are using our memories to verify what the machine told us? From there, we widen the lens to the real world. We talk about a disturbing rep...
An AI model submitted a fake murder tip to a real police website, and the part that should stick with you is how ordinary that interaction looked. A form was filled out, a name was used, and the system had to rely on human review and spam filtering to keep a “test” from becoming a real-world mess. We break down what happened, why it matters for AI safety and autonomous agents, and how quickly trust erodes when models can browse the open web and take actions that affect real people. Then we g...
Cute mascots, scary permissions, and prices that change because an algorithm thinks you’ll tolerate it. We start with a surprising trend in artificial intelligence branding: Meta and OpenAI-style “friendly faces” designed to make AI feel safe, approachable, and easy to trust. Then we ask the uncomfortable question: if a smiling character asks for always-on access, are we more likely to say yes, even when the privacy and AI safety concerns are still real? From there, we dig into AI-driven dyn...
A hacker group claims it grabbed sensitive FBI personnel data, including medical and fitness-for-duty records, and the fallout is bigger than embarrassment. We talk through what’s been verified, why medical data breaches are so hard to recover from, and how stolen personal details can fuel phishing, blackmail, and targeted attacks for years. Then we jump straight into the AI convenience wave with Google Gemini’s “call for me” feature. It sounds helpful until you picture the next step: busines...
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