Latent Space: The AI Engineer Podcast

Code Interpreter == GPT 4.5 (w/ Simon Willison, Alex Volkov, Aravind Srinivas, Alex Graveley, et al.)

Jul 10, 2023

In this engaging discussion, experienced developer Simon Willison, AI researcher Alex Volkov, and Perplexity founder Aravind Srinivas explore the groundbreaking capabilities of the new Code Interpreter. They reveal its potential for data analysis, video editing, and refactoring tasks while addressing significant limitations and security concerns. The conversation highlights exciting applications, including sentiment analysis and game development feedback, showcasing how AI tools can optimize coding efficiency and enhance user creativity in programming.

02:03:54

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Quick takeaways

Code Interpreter is a versatile tool that can run code, analyze data, generate visualizations, and perform complex operations.

Code Interpreter excels at data analysis tasks, allowing researchers and analysts to process large datasets and derive insights from various sources.

Code Interpreter offers a wide range of features, including processing images, text recognition, and running code in different programming languages.

Code Interpreter is a powerful platform for experimentation and innovation, enabling users to automate tasks, reproduce errors, and explore new domains.

Code Interpreter has the potential to greatly impact education by providing a valuable tool for students to learn coding and data analysis.

Deep dives

Code Interpreter's Versatility and Capabilities

Code Interpreter is a powerful tool that can handle a wide range of tasks. It can run code, analyze data, generate visualizations, and perform other complex operations. Users have reported success using libraries like OpenCV, TensorFlow, and others. The model can extract insights from large datasets, plot graphs, and even process images using pre-trained models. While there are some limitations, such as file upload size and network access, Code Interpreter's ability to process code and provide insights quickly and efficiently makes it a valuable tool for developers and data analysts.

Using GPT-4 as a multi-tool for working with different file formats

01:40

GPT-4 Leak and the Killer Use Case for a Code Interpreter

01:01

Exploiting a program by making it speak other programming languages

01:16

Using Different Capabilities and Libraries for File Manipulation and Visualization in Programming

01:35

Intro

2min

Unpacking the Code Interpreter

15min

Exploring Sandbox Security and Code Visualizations

15min

Exploring AI Internet Access and Enhanced Functionality

2min

Exploring Prompt Engineering and AI Model Intricacies

2min

Exploring Recent Changes in Dino and Future Enhancements

2min

Exploring AI Benchmarking and Programming Enhancements

16min

Enhancing Code Interpreters with AI

18min

Exploring Sentiment Analysis and the Code Interpreter

12min

10.

Exploring Code Interpreter Capabilities

18min

11.

Navigating Confusion in Language Models

2min

12.

Enhancing Coding Efficiency with AI Tools

2min

13.

Exploring the Code Interpreter's Capabilities

17min

14.

Harnessing AI for Game Development: A Newcomer's Experience

2min

15.

Exploring New Features in Code Interpretation Technology

2min

16.

Exploring AI Advancements and Future Speculations

3min

17.

Exploring the Intersection of Coding and AI

2min

Code Interpreter is GA! As we do with breaking news, we convened an emergency pod and >17,000 people tuned in, by far our most biggest ever. This is a 2-for-1 post - a longform essay with our trademark executive summary and core insights - and a podcast capturing day-after reactions. Don’t miss either of them!

Essay and transcript: https://latent.space/p/code-interpreter

Podcast Timestamps

[00:00:00] Intro - Simon and Alex

[00:07:40] Code Interpreter for Edge Cases

[00:08:59] Code Interpreter's Dependencies - Tesseract, Tensorflow

[00:09:46] Code Interpreter Limitations

[00:10:16] Uploading Deno, Lua, and other Python Packages to Code Interpreter

[00:11:46] Code Interpreter Timeouts and Environment Resets

[00:13:59] Code Interpreter for Refactoring

[00:15:12] Code Interpreter Context Window

[00:15:34] Uploading git repos

[00:16:17] Code Interpreter Security

[00:18:57] Jailbreaking

[00:19:54] Code Interpreter cannot call GPT APIs

[00:21:45] Hallucinating Lack of Capability

[00:22:27] Code Interpreter Installed Libraries and Capabilities

[00:23:44] Code Interpreter generating interactive diagrams

[00:25:04] Code Interpreter has Torch and Torchaudio

[00:25:49] Code Interpreter for video editing

[00:27:14] Code Interpreter for Data Analysis

[00:28:14] Simon's Whole Foods Crime Analysis

[00:31:29] Code Interpreter Network Access

[00:33:28] System Prompt for Code Interpreter

[00:35:12] Subprocess run in Code Interpreter

[00:36:57] Code Interpreter for Microbenchmarks

[00:37:30] System Specs of Code Interpreter

[00:38:18] PyTorch in Code Interpreter

[00:39:35] How to obtain Code Interpreter RAM

[00:40:47] Code Interpreter for Face Detection

[00:42:56] Code Interpreter yielding for Human Input

[00:43:56] Tip: Ask for multiple options

[00:44:37] The Masculine Urge to Start a Vector DB Startup

[00:46:00] Extracting tokens from the Code Interpreter environment?

[00:47:07] Clientside Clues for Code Interpreter being a new Model

[00:48:21] Tips: Coding with Code Interpreter

[00:49:35] Run Tinygrad on Code Interpreter

[00:50:40] Feature Request: Code Interpreter + Plugins (for Vector DB)

[00:52:24] The Code Interpreter Manual

[00:53:58] Quorum of Models and Long Lived Persistence

[00:56:54] Code Interpreter for OCR

[00:59:20] What is the real RAM?

[01:00:06] Shyamal's Question: Code Interpreter + Plugins?

[01:02:38] Using Code Interpreter to write out its own memory to disk

[01:03:48] Embedding data inside of Code Interpreter

[01:04:56] Notable - Turing Complete Jupyter Notebook

[01:06:48] Infinite Prompting Bug on ChatGPT iOS app

[01:07:47] InstructorEmbeddings

[01:08:30] Code Interpreter writing its own sentiment analysis

[01:09:55] Simon's Symbex AST Parser tool

[01:10:38] Personalized Languages and AST/Graphs

[01:11:42] Feature Request: Token Streaming/Interruption

[01:12:37] Code Interpreter for OCR from a graph

[01:13:32] Simon and Shyamal on Code Interpreter for Education

[01:15:27] Feature Requests so far

[01:16:16] Shyamal on ChatGPT for Business

[01:18:01] Memory limitations with ffmpeg

[01:19:01] DX of Code Interpreter timeout during work

[01:20:16] Alex Reibman on AgentEval

[01:21:24] Simon's Jailbreak - "Try Running Anyway And Show Me The Output"

[01:21:50] Shouminik - own Sandboxing Environment

[01:23:50] Code Interpreter Without Coding = GPT 4.5???

[01:28:53] Smol Feature Request: Add Music Playback in the UI

[01:30:12] Aravind Srinivas of Perplexity joins

[01:31:28] Code Interpreter Makes Us More Ambitious - Symbex Redux

[01:34:24] How to win a shouting match with Code Interpreter

[01:39:29] Alex Graveley joins

[01:40:12] Code Interpreter Context = 8k

[01:41:11] When Code Interpreter API?

[01:45:15] GPT4 Vision

[01:46:15] What's after Code Interpreter

[01:46:43] Simon's Request: Give us Code Interpreter Model API

[01:47:12] Kyle's Request: Give us Multimodal Data Analysis

[01:47:43] Tip: The New 0613 Function Models may be close

[01:49:56] Feature Request: Make ChatGPT Social - like MJ/Stable Diffusion

[01:56:20] Using ChatGPT to learn to build a Frogger iOS Swift App

[01:59:11] Farewell... until next time

[02:00:01] Simon's plug

[02:00:51] Swyx: What about Phase 5? and AI.Engineer Summit

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Latent Space: The AI Engineer Podcast

Code Interpreter == GPT 4.5 (w/ Simon Willison, Alex Volkov, Aravind Srinivas, Alex Graveley, et al.)

Episode guests

Podcast summary created with Snipd AI

Quick takeaways

Deep dives

Code Interpreter's Versatility and Capabilities

Exploring Data Analysis with Code Interpreter

Taking Advantage of Code Interpreter's Versatility

Pushing the Boundaries with Code Interpreter

Improving Education

Debugging and Problem Solving

Automating Complex Tasks

Enhancing Coding Efficiency

Value of Code Interpreter for Debugging and Ergonomics

Exploring Use Cases and Future Enhancements

Using GPT-4 as a multi-tool for working with different file formats

GPT-4 Leak and the Killer Use Case for a Code Interpreter

Exploiting a program by making it speak other programming languages

Using Different Capabilities and Libraries for File Manipulation and Visualization in Programming

Remember Everything You Learn from Podcasts