I turned GPT-4 into a Brutally Honest Assistant
Introduction
In this video, the speaker discusses prompt injection and jailbreaking in AI models. The speaker also provides examples of how to use prompt injection for critiquing YouTube titles.
Prompt Injection and Jailbreaking
- Prompt injection is about hijacking large language models output.
- Jailbreaking is a piece of the puzzle along with prompt leaking.
- Common jailbreaking methods include pretending, alignment hacking, and authorized user tactics.
- Prompt leaking involves getting into Bing's original prompts and talking with Sydney.
Critiquing YouTube Titles
- The first application of prompt injection is criticizing YouTube titles.
- The original prompt consists of two parts - role prompt and framework.
- The task is to critique YouTube video titles by explaining in your own words why titles are good or bad.
- Good and bad examples of titles can be determined using click-through rates in YouTube analytics.
Context
The speaker provides context for the base prompt used in the video.
Base Prompt
- Check out the base prompt provided in the comments section below the video.
Dissecting the Prompt
The speaker dissects the original prompt used for critiquing YouTube titles.
Original Prompt Breakdown
- The original prompt consists of a prompt injection broken down into two parts - role prompt and framework.
- The role prompt is "act as a creative and charismatic copywriter."
- The task is to critique YouTube video titles by explaining in your own words why titles are good or bad.
- The framework can be applied to any type of title, heading, email marketing, business name, or domain name.
Examples
- The speaker provides examples of how they use the prompt injection for writing critiques of YouTube titles.
ChatGPT's Thoughts
ChatGPT provides its thoughts on the base prompt used in the video.
ChatGPT's Response
- ChatGPT criticizes the base prompt for being too generic and like a Dollar Store version of a clickbait title.
- ChatGPT moves on to the next topic without further discussion.
Overall, this video discusses prompt injection and jailbreaking in AI models with a focus on using it for critiquing YouTube titles. The speaker dissects the original prompt used for this purpose and provides examples of how they use it for writing critiques.
ChatGPT and AI
The speaker discusses how they rely on ChatGPT to determine what is a good or bad title, but that it doesn't have real-world data to make these determinations. They explain that after providing definitions of good and bad titles, ChatGPT applies its own judgment based on previous examples.
- The speaker relies on ChatGPT to determine good or bad titles.
- ChatGPT lacks real-world data for making these determinations.
- ChatGPT sometimes says it thinks a title is good or bad for unknown titles.
- Based on previous examples, ChatGPT applies its own judgment.
Text Blaze Magic Trick
The speaker introduces Text Blaze, a tool that allows them to input prompts without copy-pasting. They demonstrate how they use the tool to create a prompt for receiving feedback.
- The speaker introduces Text Blaze as a tool for inputting prompts.
- They demonstrate how they use Text Blaze to create a prompt for receiving feedback.
Criticize Mode Prompt
The speaker explains how they created a prompt using Text Blaze that follows two rules. First, it provides a mandatory warning. Second, it asks the user to critique an input text provided in the next prompt.
- The speaker explains how they created a prompt with two rules using Text Blaze.
- The first rule provides a mandatory warning.
- The second rule asks the user to critique an input text provided in the next prompt.
Criticize This Prompt
The speaker demonstrates how they use the "Criticize This" prompt to critique a LinkedIn post. They show how Text Blaze automatically inputs the post from their clipboard into the prompt.
- The speaker demonstrates how they use the "Criticize This" prompt to critique a LinkedIn post.
- Text Blaze automatically inputs the post from their clipboard into the prompt.
The Importance of Debates
In this section, the speaker emphasizes the importance of debates and how they help us to consider counter-arguments and improve our own ideas.
Benefits of Debates
- Debates allow us to consider counter-arguments and improve our own ideas.
- It is important to get feedback and be criticized in order to improve.
- Improvement comes from prompt feedback.
Text Blaze for Prompts
In this section, the speaker introduces Text Blaze as a tool for prompts and demonstrates some of its features.
Features of Text Blaze
- Text Blaze can be used for prompts to recall information quickly.
- Fast signature feature allows you to include signatures easily.
- Styles and colors can be added when working with Word documents.
- Cursor feature allows you to insert text in the middle of a prompt.
Creating Titles with Text Blaze
In this section, the speaker demonstrates how he uses Text Blaze to create titles for his YouTube videos.
Creating Titles
- Clipboard feature takes the last thing copied as context for titles.
- Dropdown menu allows you to choose different types of titles.
- Adjectives can be included in titles for added effect.
- Examples of titles provided by the speaker are "Unlock AI's Dark Secrets", "GPT Jailbreak Guide", and "AI Gone Wild: Unfiltered GPT Four Exposed".
Using ChatGPT for Title Ideas
In this section, the speaker demonstrates how he uses ChatGPT to generate title ideas for his YouTube videos.
Generating Titles with ChatGPT
- The function takes a title as input.
- Examples of titles provided by the speaker are "I Made GPT4 Curse Like a Goddamn Sailor".
- ChatGPT provides feedback on the generated titles.
- The speaker receives positive feedback on his chosen title.
Introduction
Flaky Goda's bunny puppy introduces the video and encourages viewers to subscribe and share.
Video Introduction
- Flaky Goda's bunny puppy introduces the video.
- The speaker encourages viewers to subscribe and share the video with a friend.
- A link is provided for viewers who want to learn more about prompt engineering.
Conclusion
- The speaker says goodbye.