Sharp Tech with Ben Thompson
(Preview) OpenAI's Latest Model Is Not Like the Others, Copilot Pages and Salesforce Agents, When AI Moves from Copilots to Airplanes
Sep 19, 2024
Dive into the intriguing details of OpenAI's latest model, o1, and how it stands apart from its predecessors. Explore the potential of Microsoft's Copilot Pages and Marc Benioff’s innovative vision for Salesforce Agents. The discussion also sheds light on the challenges AI faces in creative tasks versus programming. Uncover the innovative training methods like reinforcement learning that could redefine generative AI's future, highlighting the fine line between learned responses and true intelligence.
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Quick takeaways
- OpenAI's O1 model showcases an evolution from traditional LLMs through improved coherence in token relationships and error correction capabilities.
- The training methodologies of O1 emphasize reasoning and logical processes, distinguishing it from earlier models by enabling complex problem-solving abilities.
Deep dives
Overview of O1's Capabilities
The new model O1 represents a significant advancement in AI technology, evolving from previous large language models to a more intricate architecture known as large token models. This model enhances its performance not just by increasing size but by improving its ability to connect tokens in a coherent manner while generating responses. For instance, unlike earlier models that often miscount tokens like in the example of 'strawberry,' O1 has improved ways of handling the relationships between words and their meanings. It addresses the challenges of autoregressive language models where earlier mistakes can compound, thereby enhancing the overall output accuracy.
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