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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This paper creates a system called ScienceIDE that converts scientific code into environments that can be used to train artificial agents to perform scientific tasks. Practitioners might care because this could lead to more efficient and effective ways to develop scientific intelligence.
Richard Socher, CEO of Recursive, envisions the "Eureka Machine" as a superintelligence that can improve the process of invention itself, accelerate AI research, and tackle major problems across science, energy, materials, biology, and more. He believes that AI can automate AI research, reducing the time and effort required for breakthroughs. Socher emphasizes the importance of open-endedness, evolutionary approaches, and self-improvement in AI research, and notes that current LLM paradigms may not be enough to achieve the desired outcomes. AI summary
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
Production code written by Claude should have a higher bar than if it was written by a human. At Anthropic, we have many guardrails in place to make sure this is happening: lots of lint rules, lots of tests, Claude-driven end to end tests, …
Introducing ChatGPT Images 2.5, Linguistic drift at the frontier, a paper on Random Attention: Rethinking KV Cache Eviction for Efficient Reasoning, and many more!