LLM classification can be improved by harnessing the power of the LLM with a stock ML algorithm framework, such as logistic regression, which achieves calibration and allows for trade-off between precision and recall. By incorporating all available information, including structured data, and adding deterministic features, LLM classification can be enhanced, resulting in improved performance and interpretability. AI summary
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Apple has designed its new Siri architecture to work seamlessly with third-party AI models, allowing users to choose from various AI options, including Claude and ChatGPT, for tasks like setting reminders, sending messages, and creating files. This integration enables Claude to appear as a Siri extension, mirroring the existing ChatGPT extension, and demonstrates Apple's efforts to future-proof Siri for model interoperability. The Model Delegation mechanism enables Apple's own server-side Siri model to be replaced by another model, such as GPT-5.6, allowing for more advanced AI capabilities. AI summary
GPT-Live-1 is a full-duplex conversational AI model in the API that enables developers to build more natural voice experiences, with features such as interruption handling, reasoning and tool calling delegation, tone and pace customization, and silent context management. It simplifies voice-agent architecture and reduces voice latency by handling listening and speaking in a single model, and can delegate deeper reasoning to the backend. AI summary