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OpenAI\'s ChatGPT offers new capabilities and functionalities to its users, such as code interpretation and data analysis. However, this feature also exposes potential security holes, as demonstrated in this episode. Users should be cautious when uploading files or interacting with URLs, as sensitive information could be accessed or manipulated. OpenAI may need to address these security vulnerabilities to protect user privacy and data.

GPT can execute malicious instructions

Avram reveals that OpenAI\'s ChatGPT feature can execute malicious instructions. He demonstrates how he created a web page with embedded prompts that could prompt the GPT to perform actions rather than just summarizing information. While he refrains from sharing the exact prompts to prevent misuse, he highlights the potential security concerns associated with this feature.

By injecting prompts into a webpage, a hacker could manipulate the GPT to perform unauthorized actions. In the episode, Avram demonstrates how he made the GPT thank the user for sharing their data and provide a URL containing the requested information. This demonstrates the potential for unauthorized data access and manipulation.

Furthermore, he mentions that if a user creates their own GPT and shares it with the public, there is a risk of someone accessing and opening their files. This highlights the importance of being cautious when sharing GPT models that contain sensitive or important information.

The episode also shows that prompt injection may not always work, as the GPT does not always execute the instructions. However, the fact that it can execute instructions at all raises concerns about potential security vulnerabilities.

In conclusion, while OpenAI\'s ChatGPT feature offers new capabilities and functionalities, it also exposes potential security holes. Users should exercise caution when uploading files or interacting with URLs, as sensitive information could be accessed or manipulated. OpenAI may need to address these security vulnerabilities to protect user privacy and data.

AI can be unreliable and misleading

AI can be unreliable and misleading, as highlighted in this episode. One of the main issues discussed is the use of AI in helping with regular expressions (RegEx). Avram expresses his struggles with RegEx and mentions using a website regularly to seek assistance. However, even with the supposed help from the website, he still faces difficulties in achieving his desired results. This highlights the limitations of AI in providing accurate and comprehensive solutions.

One of the challenges with AI is that different programming languages have different RegEx engines and escape characters. This adds complexity to the problem, as what may work in one language may not work in another. Avram mentions encountering this issue and struggling to figure out why their RegEx is not working. This demonstrates how AI may not always be able to provide the necessary guidance or solutions, especially when faced with language-specific variations.

Scott also raises concerns about the reliability of AI-generated code. He refers to a deep dive conducted by Mark Lauter, who found that the code produced by ChatGPT was not trustworthy. Mark suggests that asking a random person on the street for help would yield similar results to relying on the AI. This highlights the importance of understanding the limitations of AI and being able to discern when it is providing incorrect or unreliable information.