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Jakub Pachocki

Chief Scientist at OpenAI, responsible for setting the research roadmap for the company.

Top 3 podcasts with Jakub Pachocki

Ranked by the Snipd community
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762 snips
Sep 25, 2025 • 52min

From Vibe Coding to Vibe Researching: OpenAI’s Mark Chen and Jakub Pachocki

OpenAI's Jakub Pachocki, Chief Scientist focused on reasoning and long-horizon systems, and Mark Chen, Chief Research Officer overseeing core research, dive into the future of AI. They unveil the ambitious roadmap for GPT-5, aiming to enhance reasoning and agentic behavior. Fascinating discussions explore the surprising capabilities of GPT-5 in math and science. They candidly discuss evolving evaluation methods, the significance of reinforcement learning, and the quest for an automated researcher. Hiring talent, balancing research with product goals, and resource allocation are also on their agenda.
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247 snips
Aug 15, 2025 • 40min

Episode 5 - Defining AGI and the road ahead

Jakub Pachocki, Chief Scientist at OpenAI, and Szymon Sidor, a researcher at OpenAI, discuss the intriguing world of artificial general intelligence (AGI). They explore the potential of AI in automating scientific discovery and the significance of math competitions in shaping AI capabilities. With insights into reasoning breakthroughs, the duo reveals how close we are to achieving AGI and shares their journey from high school competitors to AI leaders. Their conversation also stresses the importance of mentorship and trust in an evolving AI landscape.
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5 snips
Jul 31, 2025 • 55min

Jakub Pachocki and Szymon Sidor: Building AI

Jakub Pachocki, Chief Scientist at OpenAI, and Szymon Sidor, Technical Fellow at OpenAI, share their journeys in AI from their programming roots in Poland to shaping groundbreaking technologies. They delve into the balance between innovation and safety as AI systems grow more capable. The duo discusses the challenges of developing reasoning models and reflects on societal questions surrounding governance and ethical deployment. Their insights reveal both optimism and caution for the future of AI, urging a focus on responsible practices.

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