Simon Willison: OpenAI's New Features & Security Risks of Large Language Models (Part 1)
Nov 24, 2023
auto_awesome
Simon Willison, creator of Datasette, discusses OpenAI's new features and the security risks of large language models. Topics include recent events at OpenAI, concerns about feature rollout and reputational risk, the uncertainty of OpenAI and the evolution of generative AI, OpenAI's dev day conference and new features, challenges with creating chatbots using custom GPT, and exploring the use of GPTs for newsrooms.
The podcast discusses the recent turmoil at OpenAI and highlights the challenges of managing a rapidly growing AI company as a nonprofit organization, raising questions about the future of AI and OpenAI's development.
The podcast explores prompt injection as a security vulnerability in AI application development, emphasizing the need for transparency and research to address the risks of untrusted text and potential leaks of sensitive information.
The podcast delves into the creation of custom GPTs and the associated challenges of prompt leakage, highlighting the importance of caution and security measures when using these models.
Deep dives
OpenAI's Turmoil and Leadership Changes
The podcast episode discusses the recent turmoil at OpenAI, including the firing of the CEO and the subsequent leadership changes. It focuses on the structure and dynamics of OpenAI as a nonprofit organization, the challenges of managing a rapidly growing AI company, and the impact of these changes on the future of AI and OpenAI's development. It also highlights the concerns around privacy, security, and the potential risks associated with prompt injection in AI application development.
The Implication of Prompt Injection in AI Applications
Prompt injection, a security vulnerability in AI application development, is explored in this podcast episode. The conversation delves into the concept of prompt injection and its impact on the safety and reliability of applications built on large language models like GPT, with a particular focus on the issue of untrusted text and potential leaks of sensitive information. The episode highlights the challenges in fixing this vulnerability and the need for transparency and further research in AI development to address these concerns.
Building Custom GPTs and the Concerns of Prompt Leakage
The podcast discusses the creation of custom GPTs and the challenges associated with prompt leakage. It examines how custom GPTs can be used to build chatbots and AI applications with specific functionalities and knowledge bases. However, the conversation also emphasizes the risk of prompt leakage, where users may manipulate the instructions given to the model, potentially causing it to act against the intended purposes or exposing sensitive data. The episode highlights the need for caution and security measures when using custom GPTs.
The Future Potential of GPTs for Newsrooms
The podcast explores the potential impact of GPTs in newsrooms and journalism. It discusses the current experimentation with GPTs for tasks such as de-jargonizing, copy editing, and initial draft generation. The episode highlights how these tools can be useful for journalists in enhancing their writing and streamlining their workflows. However, it also emphasizes the importance of treating GPTs as tools within the editorial process and being mindful of the limitations and biases they may have.
The Challenges and Benefits of Building on GPTs
The podcast episode provides an overview of the challenges and benefits of building applications on GPTs. It discusses the potential for GPTs in various fields, including language translation, data analysis, and event summarization. The conversation emphasizes the need for caution regarding security vulnerabilities like prompt injection and prompt leakage. Additionally, it explores the potential for GPTs to improve productivity and efficiency in various industries, while also acknowledging the limitations and risks associated with their use.
Simon Willison, the creator of the open source data exploration and publishing tool Datasette, joins Nikita Roy to discuss the recent turmoil at Open AI and the new features unveiled at OpenAI’s first developer conference earlier this month.They discuss the security risks inherent in generative AI applications and explore the usefulness of small language models for journalists, particularly for analyzing sensitive data on personal devices.
Simon, a former software architect at The Guardian and JSK Fellow at Stanford University, currently works full-time to build open-source tools for data journalism. Prior to becoming an independent open source developer, Simon served as an engineering director at Eventbrite. He is also renowned for his work as the co-creator of the Django Web Framework, a key tool in Python web development.
🎧Tune in for a detailed exploration of the latest features from OpenAI
🔔 Course registration is now open. Sign up for Wonder Tools X Newsroom Robots Generative AI for Media Pros Masterclass. A Live Cohort-Based Course taught by Jeremy Caplan & Nikita Roy. Sign up here.
✉️ Newsroom Robots now has a newsletter! Sign up here.
