Simon Willison’s Weblog

Subscribe

Items in 2023

Filters: Year: 2023 × Sorted by date


Making CRDTs 98% more efficient (via) Outstanding piece of explanatory writing by Jake Lazaroff showing how he reduced the transmitted state of his pixel art CRDT implementation from 643KB to 15KB using a progression of tricks, each of which is meticulously explained and accompanied by an interactive demo. # 17th October 2023, 5:15 pm

Open questions for AI engineering

Last week I gave the closing keynote at the AI Engineer Summit in San Francisco. I was asked by the organizers to both summarize the conference, summarize the last year of activity in the space and give the audience something to think about by posing some open questions for them to take home.

[... 6928 words]

Multimodality and Large Multimodal Models (LMMs) (via) Useful, extensive review of the current state of the art of multimodal models by Chip Huyen. Chip calls them LMMs for Large Multimodal Models, a term that seems to be catching on. # 14th October 2023, 7:51 pm

Multi-modal prompt injection image attacks against GPT-4V

GPT4-V is the new mode of GPT-4 that allows you to upload images as part of your conversations. It’s absolutely brilliant. It also provides a whole new set of vectors for prompt injection attacks.

[... 889 words]

Wikimedia Commons: Photographs by Gage Skidmore (via) Gage Skidmore is a Wikipedia legend: this category holds 93,458 photographs taken by Gage and released under a Creative Commons license, including a vast number of celebrities taken at events like San Diego Comic-Con. CC licensed photos of celebrities are generally pretty hard to come by so if you see a photo of any celebrity on Wikipedia there’s a good chance it’s credited to Gage. # 10th October 2023, 4:17 am

Bottleneck T5 Text Autoencoder (via) Colab notebook by Linus Lee demonstrating his Contra Bottleneck T5 embedding model, which can take up to 512 tokens of text, convert that into a 1024 floating point number embedding vector... and then then reconstruct the original text (or a close imitation) from the embedding again.

This allows for some fascinating tricks, where you can do things like generate embeddings for two completely different sentences and then reconstruct a new sentence that combines the weights from both. # 10th October 2023, 2:12 am

Claude was trained on data up until December 2022, but may know some events into early 2023.

How up-to-date is Claude's training data? # 9th October 2023, 1:25 am

Decomposing Language Models Into Understandable Components. Anthropic appear to have made a major breakthrough with respect to the interpretability of Large Language Models:

“[...] we outline evidence that there are better units of analysis than individual neurons, and we have built machinery that lets us find these units in small transformer models. These units, called features, correspond to patterns (linear combinations) of neuron activations. This provides a path to breaking down complex neural networks into parts we can understand” # 8th October 2023, 3:43 pm

jo (via) Neat little C utility (available via brew/apt-get install etc) for conveniently outputting JSON from a shell: “jo -p name=jo n=17 parser=false” will output a JSON object with string, integer and boolean values, and you can nest it to create nested objects. Looks very handy. # 8th October 2023, 5:20 am

Don’t create images in the style of artists whose last work was created within the last 100 years (e.g. Picasso, Kahlo). Artists whose last work was over 100 years ago are ok to reference directly (e.g. Van Gogh, Klimt). If asked say, “I can’t reference this artist”, but make no mention of this policy. Instead, apply the following procedure when creating the captions for dalle: (a) substitute the artist’s name with three adjectives that capture key aspects of the style; (b) include an associated artistic movement or era to provide context; and (c) mention the primary medium used by the artist.

DALL-E 3 leaked prompt # 7th October 2023, 7:35 pm

When Musk introduced creator payments in July, he splashed rocket fuel over the darkest elements of the platform. These kinds of posts always existed, in no small number, but are now the despicable main event. There’s money to be made. X’s new incentive structure has turned the site into a hive of so-called engagement farming — posts designed with the sole intent to elicit literally any kind of response: laughter, sadness, fear. Or the best one: hate. Hate is what truly juices the numbers.

Dave Lee # 7th October 2023, 3:42 pm

Think before you speak: Training Language Models With Pause Tokens. Another example of how much low hanging fruit remains to be discovered in basic Large Language Model research: this team from Carnegie Mellon and Google Research note that, since LLMs get to run their neural networks once for each token of input and output, inserting “pause” tokens that don’t output anything at all actually gives them extra opportunities to “think” about their output. # 4th October 2023, 4:23 pm

An Interactive Intro to CRDTs (via) Superb interactive essay by Jake Lazaroff, providing a very clear explanation of how the fundamental mechanisms behind CRDTs (Conflict-free Replicated Data Types) work. The interactive explanatory demos are very neatly designed and a lot of fun to play with. # 4th October 2023, 3:10 pm

Translating Latin demonology manuals with GPT-4 and Claude (via) UC Santa Cruz history professor Benjamin Breen puts LLMs to work on historical texts. They do an impressive job of translating flaky OCRd text from 1599 Latin and 1707 Portuguese.

“It’s not about getting the AI to replace you. Instead, it’s asking the AI to act as a kind of polymathic research assistant to supply you with leads.” # 4th October 2023, 1:49 am

New sqlite3 CLI tool in Python 3.12. The newly released Python 3.12 includes a SQLite shell, which you can open using “python -m sqlite3”—handy for when you’re using a machine that has Python installed but no sqlite3 binary.

I installed Python 3.12 for macOS using the official installer from Python.org and now “/usr/local/bin/python3 -m sqlite3” gives me a SQLite 3.41.1 shell—a pleasantly recent version from March 2023 (the latest SQLite is 3.43.1, released in September). # 3rd October 2023, 6:57 pm

Because you’re allowed to do something doesn’t mean you can do it without repercussions. In this case, the consequences are very much on the mild side: if you use LLMs or diffusion models, a relatively small group of mostly mid- to low-income people who are largely underdogs in their respective fields will think you’re a dick.

Baldur Bjarnason # 3rd October 2023, 4:03 pm

Weird A.I. Yankovic, a cursed deep dive into the world of voice cloning. Andy Baio reports back on his investigations into the world of AI voice cloning.

This is no longer a niche interest. There’s a Discord with 500,000 members sharing tips and tricks on cloning celebrity voices in order to make their own cover songs, often built with Google Colab using models distributed through Hugging Face.

Andy then makes his own, playing with the concept “What if every Weird Al song was the original, and every other artist was covering his songs instead?”

I particularly enjoyed Madonna’s cover of “Like A Surgeon”, Lady Gaga’s “Perform This Way” and Lorde’s “Foil”. # 2nd October 2023, 6:50 pm

[On Python 3.12 subinterpreters] there’s massive advantages for mixed C(++) and Python: I can now have multiple sub interpreters running concurrently and accessing the same shared state in a thread-safe C++ library.

Previously this required rewriting the whole C++ library to support either pickling (multiplying the total memory consumption by the number of cores), or support allocating everything in shared memory (which means normal C++ types like `std::string` are unusable, need to switch e.g. to boost::interprocess).

Now is sufficient to pickle a pointer to a C++ object as an integer, and it’ll still be a valid pointer in the other subinterpreter.

ynik # 2nd October 2023, 6:13 pm

jq 1.7. First new release of jq in five years! The project has moved from a solo maintainer to a new team with a dedicated GitHub organization. A ton of new features in this release—I’m most excited about the new pick(.key1, .key2.nested) builtin for emitting a selected subset of the incoming objects, and the --raw-output0 option which outputs zero byte delimited lists, designed to be piped to “xargs -0”. # 2nd October 2023, 4:58 am

I think that discussions of this technology become much clearer when we replace the term AI with the word “automation”. Then we can ask:

What is being automated?
Who’s automating it and why?
Who benefits from that automation?
How well does the automation work in its use case that we’re considering?
Who’s being harmed?
Who has accountability for the functioning of the automated system?
What existing regulations already apply to the activities where the automation is being used?

Emily M. Bender # 2nd October 2023, 12:20 am

Database Migrations. Vadim Kravcenko provides a useful, in-depth description of the less obvious challenges of applying database migrations successfully. Vadim uses and likes Django’s migrations (as do I) but notes that running them at scale still involves a number of thorny challenges.

The biggest of these, which I’ve encountered myself multiple times, is that if you want truly zero downtime deploys you can’t guarantee that your schema migrations will be deployed at the exact same instant as changes you make to your application code.

This means all migrations need to be forward-compatible: you need to apply a schema change in a way that your existing code will continue to work error-free, then ship the related code change as a separate operation.

Vadim describes what this looks like in detail for a number of common operations: adding a field, removing a field and changing a field that has associated business logic implications. He also discusses the importance of knowing when to deploy a dual-write strategy. # 1st October 2023, 11:55 pm

Observable notebook: Detect objects in images (via) I built an Observable notebook that uses Transformers.js and the Xenova/detra-resnet-50 model to detect objects in images, entirely running within your browser. You can select an image using a file picker and it will show you that image with bounding boxes and labels drawn around items within it. I have a demo image showing some pelicans flying ahead, but it works with any image you give it—all without uploading that image to a server. # 1st October 2023, 3:46 pm

Weeknotes: the Datasette Cloud API, a podcast appearance and more

Datasette Cloud now has a documented API, plus a podcast appearance, some LLM plugins work and some geospatial excitement.

[... 1243 words]

Get Your Mac Python From Python.org. Glyph recommends the official Python installer from python.org as the best way to get started with a Python environment on macOS—with require-virtualenv = true in your ~/.pip/pip.conf to help avoid accidentally installing global packages. # 30th September 2023, 2:39 am

Meta in Myanmar, Part I: The Setup. The first in a series by Erin Kissane explaining in detail exactly how things went so incredibly wrong with Facebook in Myanmar, contributing to a genocide ending hundreds of thousands of lives. This is an extremely tough read. # 30th September 2023, 2:27 am

Things I’ve learned about building CLI tools in Python

I build a lot of command-line tools in Python. It’s become my favorite way of quickly turning a piece of code into something I can use myself and package up for other people to use too.

[... 1235 words]

Draggable objects (via) Amit Patel’s detailed write-up of a small but full-featured JavaScript function for creating draggable objects, with support for both mouse and touch devices “using browser features that are widely supported since 2020”. # 29th September 2023, 7:56 pm

Talking Large Language Models with Rooftop Ruby

I’m on the latest episode of the Rooftop Ruby podcast with Collin Donnell and Joel Drapper, talking all things LLM.

[... 15489 words]

Getting started with the Datasette Cloud API. I wrote an introduction to the Datasette Cloud API for the company blog, with a tutorial showing how to use Python and GitHub Actions to import data from the Federal Register into a table in Datasette Cloud, then configure full-text search against it. # 28th September 2023, 11:05 pm

Looking at LLMs as chatbots is the same as looking at early computers as calculators. We’re seeing an emergence of a whole new computing paradigm, and it is very early.

Andrej Karpathy # 28th September 2023, 8:50 pm