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Manu Sharma

CEO of Labelbox, a company focused on data labeling and evaluation for AI. He discusses the evolution of data labeling and the shift to reinforcement learning loops.

Top 3 podcasts with Manu Sharma

Ranked by the Snipd community
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175 snips
Jul 8, 2025 • 1h 45min

The Data Factory: Inside the $100B Race for Post-Training Supremacy, with Labelbox CEO Manu Sharma

In this engaging discussion, Manu Sharma, Founder and CEO of Labelbox—known for providing cutting-edge training data to AI labs—explores the evolution of AI training methods. He highlights the shift from simple labeling to sophisticated reinforcement learning environments. Sharma reveals how AI labs are investing massively in training data and discusses the nuances of post-training strategies. He shares insights on the competitive AI landscape, the importance of human data, and the interplay of creativity and AI in modern industries.
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128 snips
Jul 1, 2025 • 1h 27min

The Grammarly–Superhuman Megadeal, plus TWiST 500 chats with LabelBox and Apptronik’s founders | E2146

Shishir Mehrotra, CEO of Grammarly, and Rahul Vohra, founder of Superhuman, dive into their exciting merger, analyzing how this combination aims to revolutionize email and productivity tools with AI. They discuss leveraging Grammarly's vast user base to enhance user experience and make communication more efficient. Additionally, Manu Sharma of Labelbox and Jeff Cardenas of Apptronik share insights on the future of AI-driven tools and humanoid robots, emphasizing their roles in various industries and the importance of data labeling in AI development.
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87 snips
Jun 27, 2025 • 47min

AI's Unsung Hero: Data Labeling and Expert Evals

Manu Sharma, CEO of Labelbox and an expert in data labeling for AI, joins to discuss the evolution of data labeling from supervised learning to advanced reinforcement learning. He highlights how the shift to foundation models and generative AI has transformed the industry, emphasizing the emerging role of 'aligners'—top professionals who ensure high-quality training data. Manu also touches on the competitive landscape of AI, particularly the impact of recent acquisitions like Meta's purchase of Scale AI, underscoring the growing importance of data and talent in the AGI race.

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