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A collection of concise notes on things I learn every day. Covering various topics, from tech to general knowledge. Quick insights for daily learning.

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Today I Learned

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Welcome to my "Today I Learned" (TIL) repository! This is a personal space to document and share concise notes on various topics I encounter and learn daily. The goal is to create easily digestible snippets of information that can be quickly reviewed and understood. Think of it as a public learning journal to track my learning journey in my free time.

Table of Contents

This will be dynamically updated as I add more TILs.

This repository is structured by topic categories. Each "TIL" entry should be a short, focused explanation of a single concept, fact, or skill I've learned. I aim for clarity and conciseness, making each entry a quick and valuable read.

Technical Reading Summary

  • 2025W10: Mac Studio (M3 Ultra), QwQ-32B model, Manus AI Agent, and more.
  • 2025W11: Gemma3, OpenAI Agent SDK, Vibe Coding, YOLOE, and more.
  • 2025W12: NVIDIA GTC 2025, IPKVM, SpatialLM, Refly, and more.
  • 2025W13: DeepSeek V3 (0324), Gemini 2.5 Pro, GPT-4o Image Generation, and more.
  • 2025W14: Meta, OpenAI, DeepSeek next-generation model rumors, and more.
  • 2025W15: Llama 4 controversy, Google DeepResearch using Gemini 2.5 Pro as a base model, SpatialLM model analysis, and more.

Computer System

  • Insights from John Hennessy: From the RISC Efficiency Revolution to the AI Paradigm Shift, the Next Decade of Computing: Turing Award winner John Hennessy has observed that the field of computing is undergoing a profound transformation driven by efficiency. This transformation began with the disruption of processor design concepts by RISC architecture and is now shifting more of the burden of performance enhancement and efficiency optimization to the software layer through heterogeneous computing, domain-specific architectures (DSAs), and artificial intelligence (especially large language models, LLM), against the backdrop of the slowing of Moore's Law.

Generative AI

Machine Learning

  • YOLOE Paper Quick Read: A new efficient unified model for real-time object detection and segmentation in open-vocabulary scenarios.
  • YOLOE In-depth Analysis: A deep analysis of YOLOE, including its innovative framework, performance evaluation, technological evolution, application fields, and future trends.
  • Unik3D Paper Quick Read: A new general monocular depth estimation framework that can handle any camera model.
  • DeepSeek-GRM Paper Quick Read: Extending inference-time computation as an effective path to improve the performance of generalist reward models.

Robotics

Contribution

While this is primarily a personal learning log, constructive feedback and suggestions are welcome! If you spot any errors or have ideas for improvement, feel free to open an issue.

License

This project is licensed under the MIT License. See the LICENSE file for details.

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A collection of concise notes on things I learn every day. Covering various topics, from tech to general knowledge. Quick insights for daily learning.

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