The pseudonymous Irishman known as “Bobby Fingers” has only made three videos since launching on YouTube last August, but each one is an unhinged masterpiece.
If you haven’t seen them before, Bobby Fingers makes elaborate 1:9 scale dioramas depicting embarrassing moments in the lives of famous men, showing off his talents in model-making with a range of techniques from Bronze Age wax casting to modern 3D laser scanning.
But each video veers off wildly in different directions, interspersed with field trips, interviews, deadpan commentary, surrealist humor, and inevitably, a musical number.
This morning, I was shaken to learn Heather B. Hamilton (formerly Heather Armstrong) aka Dooce is no longer with us. I learned the news from a post to her Instagram, confirmed by several friends after and then the Associated Press, announcing the tragic news that she died yesterday at the age of 47.
I’m shaken and sad, and my heart goes out to all her family and friends feeling her loss right now, but especially her two children.
We weren’t close friends, but as part of the same old-school blogging cohort, we hung out over the years at conferences and meetups, getting together whenever she was in town.
Red Team Blues, the latest novel from my old friend Cory Doctorow, is out today, the first in his new series of near-future techno-thrillers. The protagonist, Martin Hench, is a 67-year-old forensic accountant on the verge of retirement, doing one last big job for an old friend.
Hench spent his career on the red team, in the cybersecurity meaning of the word, identifying vulnerabilities and exploiting weaknesses to track down crooks and cheats hiding and laundering their money. But when the job goes sideways, he’s forced to switch to the blue team, going on the defense and thinking like his attackers to stay alive.
I just finished the advance copy Cory sent me this morning and it’s a wild ride. It reminds me of some of my favorite detective noir, from The Maltese Falcon to Chinatown, but in a near-future setting grounded in real technology.
The plot centers around a critical piece of digital information: the signing keys for the secure enclaves on mobile devices, which are used in the book to verify transactions on a fictional cryptocurrency ledger. This approach to trustless computing is a risky idea for reasons that quickly become clear, and explained well in cryptographer Matthew Green’s book review.
If you’re in the Portland area, Cory and I will be talking about the book at Powell’s at Cedar Hills on Tuesday, May 2. If you’re not in Portland, his book tour kicks off today in San Diego, with dates across the U.S. and Canada. Hope to see you there!
While trying to fix my printer today, I discovered that a PDF copy of Satoshi Nakamoto’s Bitcoin whitepaper apparently shipped with every copy of macOS since Mojave in 2018.
I’ve asked over a dozen Mac-using friends to confirm, and it was there for every one of them. The file is found in every version of macOS from Mojave (10.14.0) to the current version, Ventura (13.3), but isn’t in High Sierra (10.13) or earlier. Update: As confirmed by 9to5Mac, it was removed in macOS Ventura 13.4 beta 3.
See for Yourself
If you’re on a Mac, open a Terminal and type the following command:
open /System/Library/Image\ Capture/Devices/VirtualScanner.app/Contents/Resources/simpledoc.pdf
If you’re on macOS 10.14 or later, the Bitcoin PDF should immediately open in Preview.
It’s Oscar night! Which means I’m curled up on my couch, watching the ceremony and doing data entry, updating my spreadsheet tracking the illicit distribution of Oscar-nominated films online.
The results are in, and once again, nearly every nominee leaked online in HD quality before the broadcast. All but one of this year’s 30 nominated films leaked online — everything except Avatar: The Way of Water.
But not a single screener for a nominated film leaked by Oscar night — for the first time in the 20 years I’ve been tracking it.
But after digging through Google, YouTube, Vimeo, DailyMotion, C-SPAN, and the Twitter archives myself, it seemed to be true: an iconic moment of ’90s political pop culture appeared to be completely missing from the internet.
Last weekend, Hollie Mengert woke up to an email pointing her to a Reddit thread, the first of several messages from friends and fans, informing the Los Angeles-based illustrator and character designer that she was now an AI model.
The day before, a Redditor named MysteryInc152 posted on the Stable Diffusion subreddit, “2D illustration Styles are scarce on Stable Diffusion, so I created a DreamBooth model inspired by Hollie Mengert’s work.”
Using 32 of her illustrations, MysteryInc152 fine-tuned Stable Diffusion to recreate Hollie Mengert’s style. He then released the checkpoint under an open license for anyone to use. The model uses her name as the identifier for prompts: “illustration of a princess in the forest, holliemengert artstyle,” for example.
Artwork by Hollie Mengert (left) vs. images generated with Stable Diffusion DreamBooth in her style (right)
After we cancelled XOXO in the early days of the pandemic, I spent much of 2020 wondering if there was any way to recreate the unique experience of a real-world festival like XOXO online: the serendipity of meeting new people while running between venues, getting drawn into conversations with strangers and old friends, stepping in and out of conversations as simply as walking away.
Those explorations ended up in Skittish, a colorful and customizable browser-based 3D world that let you talk to others nearby with your voice while controlling a goofy animal character. It was weird and silly and I loved it.
Sadly, for a number of reasons, I’ve decided to shut it down this December.
There isn’t enough demand to keep it going, probably a combination of an overall decline in demand for virtual events and its niche featureset, and it requires ongoing support and maintenance that’s hard for me to provide on my own.
Yesterday, Meta’s AI Research Team announced Make-A-Video, a “state-of-the-art AI system that generates videos from text.”
We’re pleased to introduce Make-A-Video, our latest in #GenerativeAI research! With just a few words, this state-of-the-art AI system generates high-quality videos from text prompts.
Like he did for the Stable Diffusion data, Simon Willison created a Datasette browser to explore WebVid-10M, one of the two datasets used to train the video generation model, and quickly learned that all 10.7 million video clips were scraped from Shutterstock, watermarks and all.
In addition to the Shutterstock clips, Meta also used 10 million video clips from this 100M video dataset from Microsoft Research Asia. It’s not mentioned on their GitHub, but if you dig into the paper, you learn that every clip came from over 3 million YouTube videos.
So, in addition to a massive chunk of Shutterstock’s video collection, Meta is also using millions of YouTube videos collected by Microsoft to make its text-to-video AI.
Here’s a little mystery for you: there are multiple reports of a mysterious voice grunting, moaning, and groaning on American Airlines’ in-flight announcement systems, sometimes lasting the duration of the flight — and nobody knows who’s responsible or how they did it.
Actor/producer Emerson Collins was the first to post video, from his Denver flight on September 6:
The weirdest flight ever. These sounds started over the intercom before takeoff and continued throughout the flight. They couldn’t stop it, and after landing still had no idea what it was. pic.twitter.com/F8lJlZHJ63
