Codex 5.3 kills Ai slop on X
How to Build a Chrome Extension to Filter AI Content
Introduction to the Project
- The speaker introduces a Google Chrome extension designed to filter out AI-generated content on X, developed using OpenAI's Codex IDE.
- A step-by-step tutorial will be provided, covering the building process of the Chrome extension and utilizing Codex for development.
Building the Extension
- The speaker mentions that the extension was built in approximately 15 minutes, emphasizing its efficiency.
- Curiosity is expressed about how the plugin will function and its design within user interface (UI) and user experience (UX).
Features and Functionality
- The extension includes features like terminal access, category toggles, and skill additions for enhanced functionality.
- Integration with various applications such as GitHub and Notion is possible, along with automation capabilities for app development.
Validation and Setup
- After building, a validation check is performed to ensure there are no syntax issues before finalizing the project.
- The necessity of adding icons for proper installation of Chrome extensions is highlighted; instructions are provided by Codex.
User Experience Insights
- The speaker shares past experiences with building multiple Chrome extensions, noting their ease of use and powerful capabilities.
- OpenAI's IDE is praised for being more user-friendly compared to previous tools while still offering control over coding processes.
Final Steps in Installation
- The project folder is renamed "AI bot killer" reflecting its purpose against annoying AI bots.
- Instructions are given on how to install the extension through Chromeβs manage extensions feature.
Testing the Extension
- Once installed, users can pin the extension for easy access; it allows filtering based on AI scores set by users.
- The speaker discusses rendering AI messages in red on X.com instead of deleting them, showcasing how extensions modify website content.
AI Builders Community and Hackathon Overview
Introduction to AI Builders
- Marsen introduces himself as the leader of a private community called AI Builders, which has recently reached 500 members. The community includes builders ranging from beginners to full-stack developers.
Community Achievements
- A member named Adam shares his success story of earning $35,000 through AI, highlighting the effectiveness of the training provided within the community. The group spans 54 countries and offers diverse training resources.
Upcoming Hackathon Announcement
- Marsen announces their first hackathon in partnership with Sabrina Romanov, offering a prize pool of $6,000. The event is set for March 6th to 8th and has already attracted over 676 participants.
Building a Chrome Extension Using Codex
Initial Development Steps
- Marsen begins exploring random posts while demonstrating how to create a Chrome extension that identifies AI-generated content. He emphasizes the potential of Chrome extensions as an opportunity.
Real-Time Coding Experience
- He successfully creates an AI score feature for content in real-time using Codex, noting that this process would have previously taken much longer due to manual coding errors.
Enhancements and Features of the Extension
Analyzing Content Quality
- Marsen observes that the current filter only marks comments as AI-generated but not actual posts. He suggests adding functionality to analyze posts themselves for better accuracy.
Filtering Out AI Posts
- He demonstrates how users can enable filters to exclude AI-generated posts from their feeds, showcasing its effectiveness by filtering out most content identified as written by AI.
Finalizing Product Features
Creating a Landing Page
- After building the extension quickly with Codex, he discusses plans for publishing it and setting up payment systems via Stripe while emphasizing user-friendly design elements like humor in messaging.
Product Launch Considerations
- Marsen reviews his landing page draft titled "AI Bot Killer," detailing features such as scoring mechanisms for identifying AI content and pricing information while planning further enhancements before launch.
Execution Over Planning: Current Development Landscape
Emphasis on Rapid Execution
- He reflects on how development practices have shifted towards execution rather than extensive planning compared to six months ago, underscoring the importance of adapting quickly in today's tech landscape.
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AI Text Enhancement: A Game Changer?
Overview of AI Text Improvement
- The speaker showcases an updated text, highlighting the significant improvement achieved through AI tools, emphasizing that the transformation took only minutes of work.
- There is a clear distinction made between the "before" and "after" states of the text, illustrating the effectiveness of AI in enhancing written content.
- The speaker expresses enthusiasm about continuing to experiment with Codex, indicating ongoing exploration and development in AI applications for writing.
- An encouragement is given to viewers to engage with these tools themselves, suggesting a growing demand for such solutions in the current market.
Market Potential and User Sentiment
- The speaker believes there is a willingness among users to pay for AI-driven text generation services, as many prefer not to spend extensive time creating content manually.
- A humorous anecdote is shared regarding Mark Lou's comments on filtering out AI-generated content while he himself utilizes AI for his writing tasks.
- The discussion touches on the prevalence of AI usage across various sectors, noting that most individuals are adopting these technologies except for notable figures like Elon Musk who remain less vocal about it.