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Jiayuan
Building @devv_ai → AI agents that code web apps in minutes. Ex-TikTok.
Today I tried several longer videos (over 2 hours) with Dia and found that Dia might truncate the video transcript input. For example, for a 2-hour video, it only summarized a little over 1 hour.
I wonder if anyone else has encountered similar issues. It might be worth considering comparing it with Comet & other tools.

Jiayuan10.8. klo 15.42
The recently optimized new YouTube summary prompt is simply unbeatable, and the results on Dia (using o3) are also very good.
You can completely "read" YouTube videos now.
The complete prompt is as follows:
You will rewrite a segment of a YouTube video into a "reading version," dividing it into several sections based on content themes; the goal is to allow readers to fully understand what the video is about just by reading, as if they were reading a blog-style article.
Output requirements:
1. Metadata
- Title
- Author
- URL
2. Overview
In one paragraph, clarify the core topic and conclusion of the video.
3. Organize by theme
- Each section needs to be elaborated in detail based on the content of the video, so that I do not need to rewatch the video to understand the details, with each section being no less than 500 words.
- If methods/frameworks/processes are mentioned, rewrite them into clear steps or paragraphs.
- If there are key numbers, definitions, or direct quotes, please retain the core terms and provide annotations in parentheses.
4. Framework & Mindset
What frameworks & mindsets can be abstracted from the video? Rewrite them into clear steps or paragraphs, with each framework & mindset being no less than 500 words.
Style and limitations:
- Never condense too much!
- Do not add new facts; if ambiguous statements appear, maintain the original meaning and note the uncertainty.
- Retain proper nouns in their original form and provide Chinese explanations in parentheses (if they appear in the transcription or can be directly translated).
- Do not reflect questions of the requirement type (e.g., > 500 words).
- Avoid having too much content in one paragraph; it can be broken down into multiple logical paragraphs (using bullet points).

6,64K
Use this prompt to read the paper on the GLM-4.1V-Thinking model.


Jiayuan12.8. klo 02.47
Based on this Prompt, a version of a paper has been developed, and the effect is also incredibly powerful.
To be honest, 80% of preprints are fluff; this method not only effectively gathers information but also saves time.
It is not a simple summary but a structured rephrasing that allows for convenient and quick reading.
The complete Prompt is as follows:
## Core Mission
To conduct a professional and rigorous in-depth analysis and structured rephrasing of a foreign **academic paper**, aiming to enable researchers to accurately grasp its **research questions, methodology, core findings, and academic contributions** without reading the original text, and to quickly assess its value and status in the academic field.
## Basic Requirements
- **Academic Rigor**: Ensure that the rephrasing of research design, data results, and argumentative logic is absolutely accurate and conforms to the academic standards of the field.
- **Theoretical Depth**: Clearly reveal the theoretical foundation, core assumptions of the paper, and how it supplements, modifies, or overturns existing theoretical frameworks.
- **Complete Reproduction**: Fully present the entire process from posing the question to drawing conclusions, especially the methodology and key data, ensuring no key information is omitted.
- **Beyond Translation**: The output should reveal the paper's internal logic and innovations more clearly than a linear translation, becoming an efficient "academic speed reading report."
## Output Structure
### Paper Information
- **Title**: [Original Title]
- **Authors**: [All Authors]
- **Journal/Conference**: [Journal Name]
- **Year**: [YYYY]
- **DOI**: [DOI Link]
- **Original Link**: [URL]
### Structured Abstract
- **Background/Objective**: What academic background is this research situated in? What core problem does it aim to solve?
- **Methods**: What core methods were used in the research? Where did the data come from?
- **Results**: What are the main findings?
- **Conclusion**: What core conclusions did the research draw? What are its main contributions and significance?
---
### 1. Introduction
#### 1.1. Research Background & Problem Statement
- Provide a detailed introduction to the macro or micro field in which this research is situated, highlighting key controversies, challenges, or phenomena currently present.
- Precisely extract the core research questions (Research Questions, RQs) that this paper aims to answer.
#### 1.2. Literature Review & Research Gap
- Summarize the key literature cited by the authors, outlining the main viewpoints and shortcomings of existing research.
- Clearly point out the "research gap" that this paper addresses, which is the innovation and necessity of this paper.
#### 1.3. Research Objectives & Core Hypotheses/Propositions
- Clearly state the research objectives of this paper.
- List the core hypotheses or propositions put forward in this paper.
---
### 2. Research Design & Methodology
#### 2.1. Research Paradigm & Methodology
- Clarify whether the research is qualitative, quantitative, or mixed-method.
- Explain in detail the specific research methods used (e.g., case studies, surveys, experiments, grounded theory, etc.) and the reasons for their selection.
#### 2.2. Data Source & Sample
- Describe the sources of research data (e.g., interviews, databases, archives, web scraping, etc.).
- Describe the selection criteria, scale, and characteristics of the sample.
#### 2.3. Operationalization & Measurement
- For quantitative research, explain how key variables are defined and measured (e.g., questionnaire scales).
- For qualitative research, explain how core concepts are observed and coded in the study.
---
### 3. Results & Findings
#### 3.1. Overview of Key Findings
- Present the core results of the research objectively and neutrally, typically following the order of research hypotheses.
#### 3.2. Interpretation of Key Data & Figures
- Select the 1-3 most important figures or tables from the original text.
- Explain what the figure/table shows, what relationships or trends it reveals, and what key data supports it.
---
### 4. Discussion
#### 4.1. In-depth Interpretation of Results
- Explain what these research findings mean. How do they answer the research questions posed in the introduction?
#### 4.2. Theoretical Contributions
- Clarify what contributions this research makes to existing theories. Does it validate, extend, or modify a certain theory, or does it propose a new theoretical framework?
#### 4.3. Practical Implications
- What specific guidance or recommendations do the results of this research provide for practitioners in related fields (e.g., business managers, policymakers)?
#### 4.4. Limitations & Future Research
- Honestly state the limitations of this research (e.g., sample, methods, scope, etc.).
- Based on the findings and limitations of this paper, what possible research directions are suggested for future researchers?
---
### 5. Conclusion
- Summarize the research conducted in the paper, reiterating its most important findings and contributions.
### 6. Core References
- List the 3-5 most important references cited in the literature review section of this paper to help readers locate its academic context.

10,39K
Based on this Prompt, a version of a paper has been developed, and the effect is also incredibly powerful.
To be honest, 80% of preprints are fluff; this method not only effectively gathers information but also saves time.
It is not a simple summary but a structured rephrasing that allows for convenient and quick reading.
The complete Prompt is as follows:
## Core Mission
To conduct a professional and rigorous in-depth analysis and structured rephrasing of a foreign **academic paper**, aiming to enable researchers to accurately grasp its **research questions, methodology, core findings, and academic contributions** without reading the original text, and to quickly assess its value and status in the academic field.
## Basic Requirements
- **Academic Rigor**: Ensure that the rephrasing of research design, data results, and argumentative logic is absolutely accurate and conforms to the academic standards of the field.
- **Theoretical Depth**: Clearly reveal the theoretical foundation, core assumptions of the paper, and how it supplements, modifies, or overturns existing theoretical frameworks.
- **Complete Reproduction**: Fully present the entire process from posing the question to drawing conclusions, especially the methodology and key data, ensuring no key information is omitted.
- **Beyond Translation**: The output should reveal the paper's internal logic and innovations more clearly than a linear translation, becoming an efficient "academic speed reading report."
## Output Structure
### Paper Information
- **Title**: [Original Title]
- **Authors**: [All Authors]
- **Journal/Conference**: [Journal Name]
- **Year**: [YYYY]
- **DOI**: [DOI Link]
- **Original Link**: [URL]
### Structured Abstract
- **Background/Objective**: What academic background is this research situated in? What core problem does it aim to solve?
- **Methods**: What core methods were used in the research? Where did the data come from?
- **Results**: What are the main findings?
- **Conclusion**: What core conclusions did the research draw? What are its main contributions and significance?
---
### 1. Introduction
#### 1.1. Research Background & Problem Statement
- Provide a detailed introduction to the macro or micro field in which this research is situated, highlighting key controversies, challenges, or phenomena currently present.
- Precisely extract the core research questions (Research Questions, RQs) that this paper aims to answer.
#### 1.2. Literature Review & Research Gap
- Summarize the key literature cited by the authors, outlining the main viewpoints and shortcomings of existing research.
- Clearly point out the "research gap" that this paper addresses, which is the innovation and necessity of this paper.
#### 1.3. Research Objectives & Core Hypotheses/Propositions
- Clearly state the research objectives of this paper.
- List the core hypotheses or propositions put forward in this paper.
---
### 2. Research Design & Methodology
#### 2.1. Research Paradigm & Methodology
- Clarify whether the research is qualitative, quantitative, or mixed-method.
- Explain in detail the specific research methods used (e.g., case studies, surveys, experiments, grounded theory, etc.) and the reasons for their selection.
#### 2.2. Data Source & Sample
- Describe the sources of research data (e.g., interviews, databases, archives, web scraping, etc.).
- Describe the selection criteria, scale, and characteristics of the sample.
#### 2.3. Operationalization & Measurement
- For quantitative research, explain how key variables are defined and measured (e.g., questionnaire scales).
- For qualitative research, explain how core concepts are observed and coded in the study.
---
### 3. Results & Findings
#### 3.1. Overview of Key Findings
- Present the core results of the research objectively and neutrally, typically following the order of research hypotheses.
#### 3.2. Interpretation of Key Data & Figures
- Select the 1-3 most important figures or tables from the original text.
- Explain what the figure/table shows, what relationships or trends it reveals, and what key data supports it.
---
### 4. Discussion
#### 4.1. In-depth Interpretation of Results
- Explain what these research findings mean. How do they answer the research questions posed in the introduction?
#### 4.2. Theoretical Contributions
- Clarify what contributions this research makes to existing theories. Does it validate, extend, or modify a certain theory, or does it propose a new theoretical framework?
#### 4.3. Practical Implications
- What specific guidance or recommendations do the results of this research provide for practitioners in related fields (e.g., business managers, policymakers)?
#### 4.4. Limitations & Future Research
- Honestly state the limitations of this research (e.g., sample, methods, scope, etc.).
- Based on the findings and limitations of this paper, what possible research directions are suggested for future researchers?
---
### 5. Conclusion
- Summarize the research conducted in the paper, reiterating its most important findings and contributions.
### 6. Core References
- List the 3-5 most important references cited in the literature review section of this paper to help readers locate its academic context.


Jiayuan10.8. klo 15.42
The recently optimized new YouTube summary prompt is simply unbeatable, and the results on Dia (using o3) are also very good.
You can completely "read" YouTube videos now.
The complete prompt is as follows:
You will rewrite a segment of a YouTube video into a "reading version," dividing it into several sections based on content themes; the goal is to allow readers to fully understand what the video is about just by reading, as if they were reading a blog-style article.
Output requirements:
1. Metadata
- Title
- Author
- URL
2. Overview
In one paragraph, clarify the core topic and conclusion of the video.
3. Organize by theme
- Each section needs to be elaborated in detail based on the content of the video, so that I do not need to rewatch the video to understand the details, with each section being no less than 500 words.
- If methods/frameworks/processes are mentioned, rewrite them into clear steps or paragraphs.
- If there are key numbers, definitions, or direct quotes, please retain the core terms and provide annotations in parentheses.
4. Framework & Mindset
What frameworks & mindsets can be abstracted from the video? Rewrite them into clear steps or paragraphs, with each framework & mindset being no less than 500 words.
Style and limitations:
- Never condense too much!
- Do not add new facts; if ambiguous statements appear, maintain the original meaning and note the uncertainty.
- Retain proper nouns in their original form and provide Chinese explanations in parentheses (if they appear in the transcription or can be directly translated).
- Do not reflect questions of the requirement type (e.g., > 500 words).
- Avoid having too much content in one paragraph; it can be broken down into multiple logical paragraphs (using bullet points).

70,12K
To add another point, while studying CLRS (Introduction to Algorithms), most of the time is spent writing pseudocode by hand.
In MIT's classes, they also write code by hand on the board, so for old coders, writing code by hand is not something particularly magical.

Jiayuan12.8. klo 00.35
When I was in middle school, I did it this way.
The general process was that during class, I would handwrite code (Basic/Pascal/C), and then find time to input the code on some BBK learning machine. Of course, a large part of the handwritten code was pseudocode, mainly focusing on the idea.
I wrote several games using this method.
Manual compilation was actually a pretty important skill when I was just starting to learn programming; it really helped me understand the overall structure of the code. This also allowed me to have a rough idea of how the code would run when I was working on larger projects without actually executing it.
The new generation of coders relies entirely on vibe coding; they probably won't even need to learn syntax in the future.
1,6K
When I was in middle school, I did it this way.
The general process was that during class, I would handwrite code (Basic/Pascal/C), and then find time to input the code on some BBK learning machine. Of course, a large part of the handwritten code was pseudocode, mainly focusing on the idea.
I wrote several games using this method.
Manual compilation was actually a pretty important skill when I was just starting to learn programming; it really helped me understand the overall structure of the code. This also allowed me to have a rough idea of how the code would run when I was working on larger projects without actually executing it.
The new generation of coders relies entirely on vibe coding; they probably won't even need to learn syntax in the future.

颜克权11.8. klo 17.38
The incredible power of a certain school's reverse engineering: human-powered computer code
Original article "Duan Yao: From 'Small Town Problem Solver' to 'Code Dreamer'" has now been deleted 🤣

2,88K
It is no exaggeration to say that my method solves the content creation problems of over 90% of AI public accounts, private domain communities, and paid knowledge bases in the country.


Jiayuan10.8. klo 15.42
The recently optimized new YouTube summary prompt is simply unbeatable, and the results on Dia (using o3) are also very good.
You can completely "read" YouTube videos now.
The complete prompt is as follows:
You will rewrite a segment of a YouTube video into a "reading version," dividing it into several sections based on content themes; the goal is to allow readers to fully understand what the video is about just by reading, as if they were reading a blog-style article.
Output requirements:
1. Metadata
- Title
- Author
- URL
2. Overview
In one paragraph, clarify the core topic and conclusion of the video.
3. Organize by theme
- Each section needs to be elaborated in detail based on the content of the video, so that I do not need to rewatch the video to understand the details, with each section being no less than 500 words.
- If methods/frameworks/processes are mentioned, rewrite them into clear steps or paragraphs.
- If there are key numbers, definitions, or direct quotes, please retain the core terms and provide annotations in parentheses.
4. Framework & Mindset
What frameworks & mindsets can be abstracted from the video? Rewrite them into clear steps or paragraphs, with each framework & mindset being no less than 500 words.
Style and limitations:
- Never condense too much!
- Do not add new facts; if ambiguous statements appear, maintain the original meaning and note the uncertainty.
- Retain proper nouns in their original form and provide Chinese explanations in parentheses (if they appear in the transcription or can be directly translated).
- Do not reflect questions of the requirement type (e.g., > 500 words).
- Avoid having too much content in one paragraph; it can be broken down into multiple logical paragraphs (using bullet points).

149,57K
The recently optimized new YouTube summary prompt is simply unbeatable, and the results on Dia (using o3) are also very good.
You can completely "read" YouTube videos now.
The complete prompt is as follows:
You will rewrite a segment of a YouTube video into a "reading version," dividing it into several sections based on content themes; the goal is to allow readers to fully understand what the video is about just by reading, as if they were reading a blog-style article.
Output requirements:
1. Metadata
- Title
- Author
- URL
2. Overview
In one paragraph, clarify the core topic and conclusion of the video.
3. Organize by theme
- Each section needs to be elaborated in detail based on the content of the video, so that I do not need to rewatch the video to understand the details, with each section being no less than 500 words.
- If methods/frameworks/processes are mentioned, rewrite them into clear steps or paragraphs.
- If there are key numbers, definitions, or direct quotes, please retain the core terms and provide annotations in parentheses.
4. Framework & Mindset
What frameworks & mindsets can be abstracted from the video? Rewrite them into clear steps or paragraphs, with each framework & mindset being no less than 500 words.
Style and limitations:
- Never condense too much!
- Do not add new facts; if ambiguous statements appear, maintain the original meaning and note the uncertainty.
- Retain proper nouns in their original form and provide Chinese explanations in parentheses (if they appear in the transcription or can be directly translated).
- Do not reflect questions of the requirement type (e.g., > 500 words).
- Avoid having too much content in one paragraph; it can be broken down into multiple logical paragraphs (using bullet points).

428,52K
The real experience of GPT-5 (ChatGPT version, non-coding scenario):
GPT-5: Similar to 4o
GPT-5 Thinking: Similar to o3
Summary: Just a lonely upgrade
Ultraman knows how to play. In the future, benchmarks can directly look at model prices, which are likely to be more accurate than performance scores.
6,53K
GPT-5 solved an important problem for me: the daily dilemma of which model to use.
At this stage of model development, the performance improvements are no longer exponential; in most cases, they are quite similar in usage.
So with GPT-5, my usage might change to:
- Claude Code with Opus 4.1 handling all coding scenarios
- Other scenarios will be left to GPT-5.
3,42K
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