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9min chapter
Nathan Lambert on the rise of "thinking" language models
AI Summer
The Future of Language Models: Scaling vs. Innovation
This chapter explores the evolution of language models, focusing on the anticipated release of GPT-5 and the implications of scaling versus innovative post-training techniques. It discusses the challenges of communicating the benefits of scaling and the economic factors influencing the development of AI models. The conversation highlights the importance of computational resources and the growing trend towards larger models, while also considering the potential diminishing returns of simply increasing size.
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Discover
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Listen to the best highlights from the podcasts you love and dive into the full episode