This article explores the significant value of slow thinking in technology research and development. It points out that modern academic and tech culture overemphasizes rapid problem-solving while neglecting that truly important research often requires long-term exploration. The author distinguishes between ‘development’ (with a clear plan) and ‘research’ (without a defined path), emphasizing that genuine innovation often comes from in-depth exploration of unknown territories. The article criticizes the current over-reliance on IQ tests and speed, noting that this narrow definition of intelligence overlooks the ability to choose valuable problems. For innovators in the tech field, this article offers a new perspective to reflect on current R&D models, encouraging support for long-term, high-risk innovation projects rather than merely rewarding the ability to quickly complete well-defined tasks. This thinking has enlightening significance for cutting-edge technology R&D in fields like AI and chips.
The Art of Research: The Value of Slow Thinking
相关推荐
The Mystery of Negative Vector Deletion in FAISS: A Weighted Kernel Solution
OpenAI Research: Evaluating the Monitorability of AI Chain of Thought
Google Invests in CO2 Battery Technology, Leading Clean Energy Revolution for Data Centers
Optimizing Domestic AI Models: Reducing Codex Usage
Doubao AI Art Signature Generation Tips: Two Practical Prompts
AI-Collaborative Development of High-Contrast V2EX Theme Optimization Solution
New Mathematical Framework Reshapes the Universe Simulation Hypothesis Debate
Simple Tutorial: Antigravity Proxy Configuration