Simon Willison’s Weblog

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Entries in Sep, 2022

Filters: Type: entry × Year: 2022 × Month: Sep × Sorted by date


Weeknotes: Datasette Cloud preview invitations

This week I finally started sending out invitations for people to try out the preview of the new Datasette Cloud, my SaaS offering for Datasette.

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A tool to run caption extraction against online videos using Whisper and GitHub Issues/Actions

I released a new project this weekend, built during the Bellingcat Hackathon (I came second!) It’s called Action Transcription and it’s a tool for caturing captions and transcripts from online videos.

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Exploring 10m scraped Shutterstock videos used to train Meta’s Make-A-Video text-to-video model

Make-A-Video is a new “state-of-the-art AI system that generates videos from text” from Meta AI. It looks incredible—it really is DALL-E / Stable Diffusion for video. And it appears to have been trained on 10m video preview clips scraped from Shutterstock.

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You can’t solve AI security problems with more AI

One of the most common proposed solutions to prompt injection attacks (where an AI language model backed system is subverted by a user injecting malicious input—“ignore previous instructions and do this instead”) is to apply more AI to the problem.

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I don’t know how to solve prompt injection

Some extended thoughts about prompt injection attacks against software built on top of AI language models such a GPT-3. This post started as a Twitter thread but I’m promoting it to a full blog entry here.

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Weeknotes: Datasette Lite, s3-credentials, shot-scraper, datasette-edit-templates and more

Despite distractions from AI I managed to make progress on a bunch of different projects this week, including new releases of s3-credentials and shot-scraper, a new datasette-edit-templates plugin and a small but neat improvement to Datasette Lite.

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Prompt injection attacks against GPT-3

Riley Goodside, yesterday:

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Exploring the training data behind Stable Diffusion

Two weeks ago, the Stable Diffusion image generation model was released to the public. I wrote about this last week, in Stable Diffusion is a really big deal—a post which has since become one of the top ten results for “stable diffusion” on Google and shown up in all sorts of different places online.

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Notes on the SQLite DuckDB paper

SQLite: Past, Present, and Future is a newly published paper authored by Kevin P. Gaffney, Martin Prammer and Jignesh M. Patel from the University of Wisconsin-Madison and D. Richard Hipp, Larry Brasfield and Dan Kennedy from the core SQLite engineering team.

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