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Discussion on GPT-4's performance, release of Google Gemini, and the future of Frontier AI. Progress of LLMs including GPT-4 and Gemini Ultra. Current AI adoption, policy, and concerns on elections. Influence of AI on the legal system, safety discourse, and NVIDIA's AI chip success. Overview of AI advancements in 2024, chip-making competition, and AI companions.
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Podcast summary created with Snipd AI

Quick takeaways

  • The state-of-the-art language model capacity is still dominated by GPT-4, generating questions about the future of larger models and how fast other models can catch up.
  • Two major players, Mixtrol and Metas Llama, are competing for attention in the open source space, with Mixtrol's plans to release a GPT-4 level open source model in 2024 gaining attention.

Deep dives

The State of LLMs: GPT-4 and Beyond

The state-of-the-art in language model capacity is still dominated by GPT-4, despite expectations for Google Gemini to surpass it. Gemini Ultra, when compared to GPT-4, showed promising results but was not directly comparable. The release of GPT-3.5 class AIs like Grox, Mixtrol, and Gemini Pro raises questions about the future of larger models. The key questions for 2024 are how fast other models can catch up to GPT-4, does Gemini Ultra exceed its capacity, and how different will GPT-4.5 be?

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