
The Top Student's Cutting-Edge Tech Interface
学霸的黑科技面板
- Status
- Completed
- Length
- 650k Words
- Genre
- Urban
- Subgenre
- Campus Life
- Updated
- 9mo ago
- English
- Request a translation
Synopsis
Stats
268Chapters
1.4kRecommendations
11.3kFans
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Reader comments 15
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The protagonist is studying in the library when a girl (basically a senior student) becomes deeply attracted to him. This plot seems to appear in every novel about academic geniuses.
From a biological perspective, the elimination of natural reproduction would mean the extinction of humanity. Humanity could continue, but it would no longer be defined as a living being.
Give your dog a high-tech control panel, and even a dog can become a top student!
The details need improvement; it feels a bit assembly-line haphazard. Another transition and dialogue felt somewhat abrupt. The process of submitting a paper, publishing it, and then applying it should have a clear timeline, but the protagonist's progression was too rapid. I didn't even see a clear timeline by the end. Keep it up!
I came up with an idea: since training AI requires a lot of data, I'll find university students and, based on a wide range of subjects like mathematics and physics, create a large number of problems to obtain a massive amount of data, and then develop the best AI.
Why add someone else as the corresponding author if they made no contribution?
Personally, I think reading an author's portrayal of pretentiousness is similar to getting to know someone who is pretentious. You need to understand the person first, and then their pretentiousness will seem more reasonable because you perceive them as having depth or talent. It's not like the author just jumps in and starts pretentious in the third chapter.
Your writing style is too formal and stiff—that's a big no-no! Let me borrow some of Morning Star's ideas to make it more lively.
Before using Llama, it is recommended to ask AI about its license. To be honest, Llama is not a commercially friendly open-source model. The open-source code only includes loading and inference; there is no training functionality. The final performance was also a mess. It was far inferior to DeepSeek.
Eliminating natural reproduction? Gene editing?