From Rabbit Holes to Recommendations: Reddit’s Vishal Gupta

From Rabbit Holes to Recommendations: Reddit’s Vishal Gupta

Author: MIT Sloan Management Review November 11, 2025 Duration: 25:09
Vishal Gupta, engineering manager, machine learning at Reddit, joins the podcast to explain how the social media community platform uses artificial intelligence to improve user experience and ad relevance. Much of the advertising work relies on increasingly sophisticated recommender systems that have evolved from simple collaborative filtering to deep learning and large language model–based systems capable of multimodal understanding. Vishal and Sam also explore the philosophical and ethical aspects of AI-driven platforms. Vishal emphasizes the importance of balance — between exploration and exploitation in recommendations, between advertiser goals and user experience, and between human- and machine-generated content. He argues that despite the rise of AI-generated material, authentic human conversation remains vital and even more valuable as models depend on it for training. Read the episode transcript here. Guest bio: Vishal Gupta is a seasoned engineering leader who leads multiple artificial intelligence and machine learning teams at Reddit in the ads domain. He has a decade of experience working on cutting-edge machine learning techniques at companies like DeepMind, Google, and Twitter. Gupta is passionate about applied AI research that significantly contributes to a company’s top and bottom lines. Me, Myself, and AI is a podcast produced by MIT Sloan Management Review and hosted by Sam Ransbotham. It is engineered by David Lishansky and produced by Allison Ryder. We encourage you to rate and review our show. Your comments may be used in Me, Myself, and AI materials.

Ever wondered how some organizations manage to turn artificial intelligence from a buzzword into a genuine engine for growth, while others struggle to move beyond the pilot phase? Me, Myself, and AI, a production from MIT Sloan Management Review, goes straight to the source to find out. Instead of theoretical discussions, this podcast features candid conversations with the people who are actually building and implementing AI systems at scale. You'll hear directly from leaders at prominent companies like YouTube, Cisco, and Hugging Face as they recount their journeys-not just the polished successes, but the real-world challenges, strategic decisions, and sometimes surprising lessons learned along the way. Each episode digs into the practicalities of creating measurable business value, cutting through the noise to reveal what effective AI leadership and integration truly look like. It’s a focused exploration for anyone in technology, business, or education who wants to understand the human and operational stories behind the algorithms. Tune in for an unvarnished look at the future being built, one practical application at a time.
Author: Language: English Episodes: 100

Me, Myself, and AI
Podcast Episodes
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Making Investments in AI: Samsung’s Hina Dixit [not-audio_url] [/not-audio_url]

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Trust and Fraud Detection at Scale: Instagram’s Stephanie Moyerman [not-audio_url] [/not-audio_url]

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Duration: 33:13
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Duration: 24:26
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Duration: 28:42
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Out of the Lab and Into a Product: Microsoft’s Eric Boyd [not-audio_url] [/not-audio_url]

Duration: 29:07
As a partner with OpenAI — the company that recently wowed the tech world and the general public with its DALL-E image generator and ChatGPT chatbot — Microsoft helped to make those generative AI tools possible. But Micr…