The Daily AI Show Aurora, Apple, and Elicit: How AI Is Changing Science Itself
Oct 15, 2025
Innovative AI advancements are transforming science! Microsoft's Aurora weather model is outpacing traditional supercomputers in forecasting, offering incredibly fast and accurate predictions. Meanwhile, Apple’s Diffusion 3 focuses on privacy in image generation, signaling a shift in AI ecosystems. The podcast dives into how these developments could influence climate science and the competitive landscape among tech giants. Elicit, a new AI research assistant, also steals the spotlight, showcasing its potential to streamline academic research.
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Test Coding AIs With Real Refactoring Tasks
- Evaluate coding assistants by real tasks, not just benchmarks, to judge usefulness and personality.
- Try multiple assistants (e.g., GitHub Copilot, Claude, Gemini) to see which explains and integrates best with your workflow.
Tiny Recursive Models Punch Above Their Weight
- Small, efficient architectures like the Tiny Recursive Model can exceed large LLMs on reasoning benchmarks with far fewer parameters.
- Recursive inference (multiple passes through a tiny network) yields strong reasoning at minimal compute cost.
Diffusion Models For Faster Text Generation
- Apple introduced few-step diffusion language models (DFM) to parallelize long-text generation and cut denoising steps drastically.
- Their approach can produce coherent text in as few as eight steps using much smaller models.