A collection of decoded runes, tactical analyses, and resonance records with the universal Turing machine.
This represents a paradigm shift in scientific research. With PUCT (Predictor + UCB applied to Trees), the core of tackling these tasks completely shifts from solving problems to finding them, transforming into a quest to design perfect metrics that accurately reflect scientific goals.
The history of compiler optimization is a story of two complementary forces: improving optimization algorithms and providing more information to push the boundaries of semantic constraints. From a modern C++ perspective, template metaprogramming should return to its original purpose of policy-driven design. Using templates for compile-time Fibonacci calculation was more of a necessary workaround before C++11.
Just as academic taste needs to be honed, there is a great deal of tacit knowledge in finding needs, which also requires cultivation. This is something that the narrative supporting universities refuses to provide, because it teaches you how to 'solve problems,' but not how to 'find problems.' And the ability to 'find problems'—to discover and define valuable questions—will be far more precious in the future than the ability to 'solve them.'
The current rush into deep learning is merely that of an investor, far from being a true believer in the AI-native paradigm.
Things young computer people (like me) should do (Free & Beginner ver.)!
I admit I haven't used Bilibili enough to properly cultivate my account, but its personalization algorithm is just terrible. It might be able to match my persona and my field, but it fails to provide content with sufficient depth and information density, merely matching tags—the signal-to-noise ratio is too low, making for a poor experience.
Pure formal models are often a projection of reality, a selective reflection. Algorithms, as logical models, also face scrutiny regarding their scope of application in the real world.
There is no 'perfect,' only 'most suitable'; to dance within the boundaries of possibility under real-world constraints is precisely the charm of computer science~
This has already become a technology with significant barriers, no longer just a toy or something for students.
GPT-5 truly writes in the style of the standard library!
While we often see C as a subset of C++, there are actually some subtle yet crucial differences to be aware of.