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Winston Weinberg

03/11/25

@ Sequoia Capital

The OER models excel at orchestrating and executing multi-step reasoning tasks, which is crucial for combining various information sources into cohesive work products.

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How AI Breakout Harvey is Transforming Legal Services, with CEO Winston Weinberg

@ Sequoia Capital

How AI Breakout Harvey is Transforming Legal Services, with CEO Winston Weinberg

03/11/25

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OpenAI o3 combines multi-step reasoning with the ability to use various tools while completing tasks.

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The model that powers Deep Research is a fine-tuned version of the O3 model, specifically trained on challenging browsing and reasoning tasks, enhancing its online search and analysis capabilities.

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The o1 model is capable of advanced reasoning, which is essential for AI to effectively conduct scientific research and accelerate technological progress.

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OpenAI's researchers believe that o1 represents a shift from models that memorize answers to those that memorize reasoning processes, although it still requires improvement in certain areas.

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Reasoning is expected to be a core capability of future models, and the two paradigms of unsupervised pre-training and specialized reasoning complement each other well.

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o1 utilizes a chain of thought process to break down complex problems into smaller, manageable steps, mirroring human reasoning.

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The outcome is better if you structure the reasoning and help iterate with the model on how it should do reasoning.

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Research shows that using Chain of Thought reasoning, o1 can solve inherently serial problems, indicating significant potential for this model series with sufficient computational resources.

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The emergence of reasoning models is expected to enable AI agents to perform actions on behalf of users, enhancing their reliability and effectiveness in real-world applications.