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Gradient Dissent: Conversations on AI
What’s the path to AGI? A conversation with Turing Co-founder and CEO Jonathan Siddharth
Nov 7, 2024
54:48
Snipd AI
Jonathan Siddharth, co-founder and CEO of Turing, discusses the future of AGI and how his company has built a vast developer cloud of 3.7 million engineers to empower AI labs. He reveals innovative strategies for integrating human intelligence into AI development, emphasizing the importance of soft skills in evaluating developers. The conversation also covers the impact of AI tools like Copilot on developer productivity and how Turing's high-quality coding datasets are enhancing enterprise AI solutions.
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Quick takeaways
- Turing's developer cloud, comprising 3.7 million vetted engineers, plays a crucial role in providing high-quality coding data for AGI training.
- The podcast emphasizes the importance of a human-in-the-loop approach, showcasing how collaboration between AI and human insight enhances productivity in enterprise applications.
Deep dives
Turing's Role in Unlocking AGI
Turing focuses on accelerating artificial general intelligence (AGI) by addressing the challenges related to data and human intelligence. The company identifies a shift from compute and data blocks to the need for high-quality human input, specifically in coding and reasoning. As models improve their coding capabilities, they also enhance their performance in various other tasks, emphasizing the importance of coding tokens during both pre-training and post-training stages. Turing's approach is to leverage its vast developer cloud, consisting of vetted software engineers, to supply essential coding data and expertise to train AGI models effectively.
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Discover
highlights
Listen to the best highlights from the podcasts you love and dive into the full episode