Technically Non-Technical

Technically Non-Technical
Podcast Description
An MIT-born AI thought leadership channel for business leaders and AI enthusiasts. Get a backstage pass to the minds shaping AI, and how AI impacts business strategies, economy, and our human society.
Podcast Insights
Content Themes
Focuses on AI's influence on emotional relationships, business strategies, and ethical implications, with episodes covering topics such as the psychological effects of AI companionship, the future of digital twins, and memory manipulation through AI technologies, including discussions like voice-based AI companions and their social ramifications.

An MIT-born AI thought leadership channel for business leaders and AI enthusiasts. Get a backstage pass to the minds shaping AI, and how AI impacts business strategies, economy, and our human society.
First-hand insights into the first OpenAI x MIT’s landmark research!
OpenAI has just released its first research on how humans form emotional bonds with systems like ChatGPT. This research, led in collaboration with MIT Media Lab and Professor Pattie Maes and Pat Pataranutaporn, explores one of the most urgent questions in tech today:
What happens when AI stops being a tool—and starts feeling like a companion? What is the impact on psychological health, businesses, and human society?
We at Technically Non-Technical—an MIT-born AI thought leadership channel for business leaders and AI enthusiasts—sat down with Professor Pattie for the first podcast unpacking some findings and implications. Some discussions include:
🔹 Could voice-based AI companions make you more open than real people?
🔹 Are digital twins the future of focus groups, dating apps… or even your career path?
🔹 Is your chatbot coaching your relationships – or quietly hacking your memory?
Here’s a taste of what we explore:
🔹 AI agents, synthetic humans, and emotional dependency
🔹Memory manipulation, social reward hacking, and ethical design
🔹A sneak peak into the AHA Symposium on April 10 at MIT – a new global platform for advancing human-AI collaboration at AHA at MIT Media Lab

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