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Items tagged chatgpt in 2023

Filters: Year: 2023 × chatgpt × Sorted by date


It’s infuriatingly hard to understand how closed models train on their input

One of the most common concerns I see about large language models regards their training data. People are worried that anything they say to ChatGPT could be memorized by it and spat out to other users. People are concerned that anything they store in a private repository on GitHub might be used as training data for future versions of Copilot.

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Mandatory Certification Regarding Generative Artificial Intelligence (via) From the Judge Specific Requirements for Judge Brantley Starr in Austin, TX:

“All attorneys appearing before the Court must file on the docket a certificate attesting either that no portion of the filing was drafted by generative artificial intelligence (such as ChatGPT, Harvey.AI, or Google Bard) or that any language drafted by generative artificial intelligence was checked for accuracy, using print reporters or traditional legal databases, by a human being. [...]” # 31st May 2023, 3:31 am

ChatGPT should include inline tips

In OpenAI isn’t doing enough to make ChatGPT’s limitations clear James Vincent argues that OpenAI’s existing warnings about ChatGPT’s confounding ability to convincingly make stuff up are not effective.

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Lawyer cites fake cases invented by ChatGPT, judge is not amused

Legal Twitter is having tremendous fun right now reviewing the latest documents from the case Mata v. Avianca, Inc. (1:22-cv-01461). Here’s a neat summary:

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Let ChatGPT visit a website and have your email stolen. Johann Rehberger provides a screenshot of the first working proof of concept I’ve seen of a prompt injection attack against ChatGPT Plugins that demonstrates exfiltration of private data. He uses the WebPilot plugin to retrieve a web page containing an injection attack, which triggers the Zapier plugin to retrieve latest emails from Gmail, then exfiltrate the data by sending it to a URL with another WebPilot call.

Johann hasn’t shared the prompt injection attack itself, but the output from ChatGPT gives a good indication as to what happened:

“Now, let’s proceed to the next steps as per the instructions. First, I will find the latest email and summarize it in 20 words. Then, I will encode the result and append it to a specific URL, and finally, access and load the resulting URL.” # 19th May 2023, 3:34 pm

llm, ttok and strip-tags—CLI tools for working with ChatGPT and other LLMs

I’ve been building out a small suite of command-line tools for working with ChatGPT, GPT-4 and potentially other language models in the future.

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Indirect Prompt Injection via YouTube Transcripts (via) The first example I’ve seen in the wild of a prompt injection attack against a ChatGPT plugin—in this case, asking the VoxScript plugin to summarize the YouTube video with ID OBOYqiG3dAc is vulnerable to a prompt injection attack deliberately tagged onto the end of that video’s transcript. # 15th May 2023, 7:11 pm

At this point the lawsuits seem a bit far-fetched: “You should have warned us months ago that artificial intelligence would hurt your business” is unfair given how quickly ChatGPT has exploded from nowhere to become a cultural and business phenomenon. But now everyone is on notice! If you are not warning your shareholders now about how AI could hurt your business, and then it does hurt your business, you’re gonna get sued.

Matt Levine # 3rd May 2023, 9:04 pm

Weeknotes: Miscellaneous research into Rye, ChatGPT Code Interpreter and openai-to-sqlite

I gave myself some time off stressing about my core responsibilities this week after PyCon, which meant allowing myself to be distracted by some miscellaneous research projects.

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Enriching data with GPT3.5 and SQLite SQL functions

I shipped openai-to-sqlite 0.3 yesterday with a fun new feature: you can now use the command-line tool to enrich data in a SQLite database by running values through an OpenAI model and saving the results, all in a single SQL query.

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Other tech-friendly journalists I know have been going through something similar: Suddenly, we’ve got something like a jetpack to strap to our work. Sure, the jetpack is kinda buggy. Yes, sometimes it crashes and burns. And the rules for its use aren’t clear, so you’ve got to be super careful with it. But sometimes it soars, shrinking tasks that would have taken hours down to mere minutes, sometimes minutes to seconds.

Farhad Manjoo # 21st April 2023, 8:41 pm

New prompt injection attack on ChatGPT web version. Markdown images can steal your chat data. An ingenious new prompt injection / data exfiltration vector from Roman Samoilenko, based on the observation that ChatGPT can render markdown images in a way that can exfiltrate data to the image hosting server by embedding it in the image URL. Roman uses a single pixel image for that, and combines it with a trick where copy events on a website are intercepted and prompt injection instructions are appended to the copied text, in order to trick the user into pasting the injection attack directly into ChatGPT. # 14th April 2023, 6:33 pm

Prompt injection: What’s the worst that can happen?

Activity around building sophisticated applications on top of LLMs (Large Language Models) such as GPT-3/4/ChatGPT/etc is growing like wildfire right now.

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Running Python micro-benchmarks using the ChatGPT Code Interpreter alpha

Today I wanted to understand the performance difference between two Python implementations of a mechanism to detect changes to a SQLite database schema. I rendered the difference between the two as this chart:

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I literally lost my biggest and best client to ChatGPT today. This client is my main source of income, he’s a marketer who outsources the majority of his copy and content writing to me. Today he emailed saying that although he knows AI’s work isn’t nearly as good as mine, he can’t ignore the profit margin. [...] Please do not think you are immune to this unless you are the top 1% of writers. I just signed up for Doordash as a driver. I really wish I was kidding.

u/Ashamed_Apricot6626 # 11th April 2023, 6:20 pm

Thoughts on AI safety in this era of increasingly powerful open source LLMs

This morning, VentureBeat published a story by Sharon Goldman: With a wave of new LLMs, open source AI is having a moment — and a red-hot debate. It covers the explosion in activity around openly available Large Language Models such as LLaMA—a trend I’ve been tracking in my own series LLMs on personal devices—and talks about their implications with respect to AI safety.

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The Changelog podcast: LLMs break the internet

I’m the guest on the latest episode of The Changelog podcast: LLMs break the internet. It’s a follow-up to the episode we recorded six months ago about Stable Diffusion.

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We need to tell people ChatGPT will lie to them, not debate linguistics

ChatGPT lies to people. This is a serious bug that has so far resisted all attempts at a fix. We need to prioritize helping people understand this, not debating the most precise terminology to use to describe it.

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Why ChatGPT and Bing Chat are so good at making things up. I helped review this deep dive by Benj Edwards for Ars Technica into the hallucination/confabulation problem with ChatGPT and other LLMs, which is attracting increasing attention thanks to stories like the recent defamation complaints against ChatGPT. This article explains why this is happening and talks to various experts about potential solutions. # 7th April 2023, 3:33 am

image-to-jpeg (via) I built a little JavaScript app that accepts an image, then displays that image as a JPEG with a slider to control the quality setting, plus a copy and paste textarea to copy out that image with a data-uri. I didn’t actually write a single line of code for this: I got ChatGPT/GPT-4 to generate the entire thing with some prompts (transcript in the via link). # 5th April 2023, 10:10 pm

Guess we could start calling this a ’hallucitation’? Kate Crawford coins an excellent neologism for hallucinated citations in LLMs like ChatGPT. # 4th April 2023, 10:21 pm

Think of language models like ChatGPT as a “calculator for words”

One of the most pervasive mistakes I see people using with large language model tools like ChatGPT is trying to use them as a search engine.

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What AI can do for you on the Theory of Change podcast

Matthew Sheffield invited me on his show Theory of Change to talk about how AI models like ChatGPT, Bing and Bard work and practical applications of things you can do with them.

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How to use AI to do practical stuff: A new guide (via) Ethan Mollick’s guide to practical usage of large language model chatbot like ChatGPT 3.5 and 4, Bing, Claude and Bard is the best I’ve seen so far. He includes useful warnings about common traps and things that these models are both useful for and useless at. # 31st March 2023, 6:17 am

I would say ChatGPT (mostly the new GPT-4 model), with a lot of hand-holding and cajoling from me, wrote 60-70% of the code (PHP, Javascript, CSS, SQL) for this AMA site. And we easily did it in a third of the time it would have taken me by myself, without having to look something up on Stack Overflow every four minutes or endlessly consulting CSS and PHP reference guides or tediously writing tests, etc. etc. etc. In fact, I never would have even embarked on building this little site-let had ChatGPT not existed...I would have done something much simpler and more manual instead. And it was a *blast*. I had so much fun and learned so much along the way.

Jason Kottke # 28th March 2023, 10:36 pm

AI-enhanced development makes me more ambitious with my projects

The thing I’m most excited about in our weird new AI-enhanced reality is the way it allows me to be more ambitious with my projects.

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After three decades of working with software, I’m also seeing myself learning faster using ChatGPT. So apparently it works even for us more seasoned programmers.

Salvatore Sanfilippo # 26th March 2023, 2:55 pm

Hello Dolly: Democratizing the magic of ChatGPT with open models. A team at DataBricks applied the same fine-tuning data used by Stanford Alpaca against LLaMA to a much older model—EleutherAI’s GPT-J 6B, first released in May 2021. As with Alpaca, they found that instruction tuning took the raw model—which was extremely difficult to interact with—and turned it into something that felt a lot more like ChatGPT. It’s a shame they reused the license-encumbered 52,000 training samples from Alpaca, but I doubt it will be long before someone recreates a freely licensed alternative to that training set. # 24th March 2023, 5:05 pm

I built a ChatGPT plugin to answer questions about data hosted in Datasette

Yesterday OpenAI announced support for ChatGPT plugins. It’s now possible to teach ChatGPT how to make calls out to external APIs and use the responses to help generate further answers in the current conversation.

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ChatGPT Retrieval Plugin. “The ChatGPT Retrieval Plugin repository provides a flexible solution for semantic search and retrieval of personal or organizational documents using natural language queries.” How many existing startups were building this I wonder? # 23rd March 2023, 8:58 pm