Microsoft’s Rogue AI — What We Learned from Tay (with Derrick Connell)
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About this listen
This week Hannah is joined by guest host Derrick Connell to discuss how Microsoft's Tay went wrong, how Satya Nadella reacted in the moment, and what Derrick learned about innovation. Derrick also shares stories from shifts in technology and discusses his new book Twenty One Summers.
Derrick shipped a chatbot that survived for 18 hours as it went horribly wrong. It sounds like a punchline until you realise it helped rewrite how the industry thinks about AI safety. Hannah sits down with Derrick, a former Corporate Vice President who spent nearly three decades at Microsoft and led teams across Search and AI, to unpack what innovation looks like when you are shipping into the real world and the real world fights back.
We talk through the massive platform shifts Derrick lived through, from Windows and Office shipped on discs to cloud services that ship daily, plus what it took to build Bing while Google held the vast majority of the search market. Along the way we get practical about product development methods, why agile experimentation changed the pace of software, and how “scrappy” teams innovate when they are not expected to win.
Then we go deep on conversational AI. Derrick explains why China’s WeChat environment made early chatbots thrive, how training data and user behaviour shaped outcomes, and why the US launch of Tay on Twitter was vulnerable to bot attacks and manipulation. We also get into the leadership playbook after a public failure, the importance of asking “What did we learn?”, and how that moment pushed Microsoft to publish early AI ethics guidelines that influenced responsible AI practices across the industry.
If you care about AI product management, innovation leadership, chatbot design, LLM guardrails, and what it takes to build safer AI systems, this conversation will give you both a story and a framework. Subscribe, share with a friend who builds AI, and leave us a review so more curious minds can find Tech Overflow.
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