155 items tagged “twitter”
2024
Ralph Sheldon’s Portrait of Henry VIII Reidentified (via) Here's a delightful two part story on art historian Adam Busiakiewicz's blog. Adam was browsing Twitter when he spotted this tweet by Tim Cox, Lord Lieutenant of Warwickshire, celebrating a reception.
He noticed a curve-framed painting mounted on a wall in the top left of the photo:
Adam had previously researched a similar painting while working at Sotheby's:
Seeing this round topped portrait immediately reminded me of a famous set of likenesses commissioned by the local politician and tapestry maker Ralph Sheldon (c. 1537--1613) for his home Weston House, Warwickshire, during the 1590s. Consisting of twenty-two portraits, mostly images of Kings, Queens and significant contemporary international figures, only a handful are known today.
Adam contacted Warwickshire County Council and was invited to Shire Hall. In his follow-up post he describes his first-hand observations from the visit.
It turns out the painting really was one of those 22 portraits made for tapestry maker Ralph Sheldon in the 1590s, long thought lost. The discovery has now made international news:
Third, X fails to provide access to its public data to researchers in line with the conditions set out in the DSA. In particular, X prohibits eligible researchers from independently accessing its public data, such as by scraping, as stated in its terms of service. In addition, X's process to grant eligible researchers access to its application programming interface (API) appears to dissuade researchers from carrying out their research projects or leave them with no other choice than to pay disproportionally high fees.
My Twitter thread figuring out the AI features in Microsoft’s Recall. I posed this question on Twitter about why Microsoft Recall (previously) is being described as "AI":
Is it just that the OCR uses a machine learning model, or are there other AI components in the mix here?
I learned that Recall works by taking full desktop screenshots and then applying both OCR and some sort of CLIP-style embeddings model to their content. Both the OCRd text and the vector embeddings are stored in SQLite databases (schema here, thanks Daniel Feldman) which can then be used to search your past computer activity both by text but also by semantic vision terms - "blue dress" to find blue dresses in screenshots, for example. The si_diskann_graph table names hint at Microsoft's DiskANN vector indexing library
A Microsoft engineer confirmed on Hacker News that Recall uses on-disk vector databases to provide local semantic search for both text and images, and that they aren't using Microsoft's Phi-3 or Phi-3 Vision models. As far as I can tell there's no LLM used by the Recall system at all at the moment, just embeddings.
Commit: Add a shared credentials relationship from twitter.com to x.com
(via)
A commit to shared-credentials.json in Apple's password-manager-resources repository. Commit message: "Pour one out."
“Link In Bio” is a slow knife (via) Anil Dash writing in 2019 about how Instagram’s “link in bio” thing (where users cannot post links to things in Instagram posts or comments, just a single link field in their bio) is harmful for linking on the web.
Today it’s even worse. TikTok has the same culture, and LinkedIn and Twitter both algorithmically de-boost anything with a URL in it, encouraging users to share screenshots (often unsourced) rather than linking to content and reducing their distribution.
It’s gross.
2023
I remember that they [Ev and Biz at Twitter in 2008] very firmly believed spam was a concern, but, “we don’t think it's ever going to be a real problem because you can choose who you follow.” And this was one of my first moments thinking, “Oh, you sweet summer child.” Because once you have a big enough user base, once you have enough people on a platform, once the likelihood of profit becomes high enough, you’re going to have spammers.
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
Latest Twitter search results for “as an AI language model” (via) Searching for “as an AI language model” on Twitter reveals hundreds of bot accounts which are clearly being driven by GPT models and have been asked to generate content which occasionally trips the ethical guidelines trained into the OpenAI models.
If Twitter still had an affordable search API someone could do some incredible disinformation research on top of this, looking at which accounts are implicated, what kinds of things they are tweeting about, who they follow and retweet and so-on.
Analytics: Hacker News v.s. a tweet from Elon Musk
My post Bing: “I will not harm you unless you harm me first” really took off.
[... 817 words]2022
It looks like I’m moving to Mastodon
Elon Musk laid off about half of Twitter this morning. There are many terrible stories emerging about how this went down, but one that particularly struck me was that he laid off the entire accessibility team. For me this feels like a microcosm of the whole situation. Twitter’s priorities are no longer even remotely aligned with my own.
[... 1,546 words]The essential truth of every social network is that the product is content moderation, and everyone hates the people who decide how content moderation works. Content moderation is what Twitter makes — it is the thing that defines the user experience.
Welcome to hell, Elon (via) If you only read one thing about the Elon acquisition of Twitter make it this, by Nilay Patel. Outstanding insights into what it actually takes to to run a commercial social media service.
Twitter pranksters derail GPT-3 bot with newly discovered “prompt injection” hack. I’m quoted in this Ars Technica article about prompt injection and the Remoteli.io Twitter bot.
Building a Covid sewage Twitter bot (and other weeknotes)
I built a new Twitter bot today: @covidsewage. It tweets a daily screenshot of the latest Covid sewage monitoring data published by Santa Clara county.
[... 1,079 words]SQLite Happy Hour—a Twitter Spaces conversation about three interesting projects building on SQLite
Yesterday I hosted SQLite Happy Hour. my first conversation using Twitter Spaces. The idea was to dig into three different projects that were doing interesting things on top of SQLite. I think it worked pretty well, and I’m curious to explore this format more in the future.
[... 1,998 words]@newshomepages (via) Ben Welsh used my shot-scraper tool and GitHub Actions to launch a Twitter bot which tweets screenshots of newspaper homepages on a scheduled basis. Ben says: “The tech is so easy, I was able to pull it off in a couple hours at zero cost. A decade ago I ran a similar project using the cloud resources of the day. [...] It costs thousands of dollars and the screenshots were of much lower quality. Incredible progress!”
2021
A museum bot (via) Shawn Graham built a Twitter bot, using R, which tweets out random items from the collection at the Canadian Science and Technology Museum—using a Datasette instance that he’s running based on a CSV export of their collections data.
2020
Reducing search indexing latency to one second. Really detailed dive into the nuts and bolts of Twitter’s latest iteration of search indexing technology, including a great explanation of skip lists.
How much can you learn from just two columns?
Derek Willis shared an intriguing dataset this morning: a table showing every Twitter account followed by an official GOP congressional Twitter account.
[... 951 words]Weeknotes: Datasette 0.40, various projects, Dogsheep photos
A new release of Datasette, two new projects and progress towards a Dogsheep photos solution.
[... 826 words]2019
twitter-to-sqlite 0.6, with track and follow. I shipped a new release of my twitter-to-sqlite command-line tool this evening. It now includes experimental features for subscribing to the Twitter streaming API: you can track keywords or follow users and matching Tweets will be written to a SQLite database in real-time as they come in through the API. Since Datasette supports mutable databases now you can run Datasette against the database and run queries against the tweets as they are inserted into the tables.
Weeknotes: ONA19, twitter-to-sqlite, datasette-rure
I’ve decided to start writing weeknotes for the duration of my JSK fellowship. Here goes!
[... 919 words]My Twitter thread collecting behind the scenes content about Spider-Man: Into the Spider-Verse. I absolutely loved Spider-Verse, and I’ve been delighted to discover that many of the artists who created the movie are active on Twitter and have been posting all kinds of fascinating material about their creative process. I’ve been collecting examples in this Twitter thread for a couple of months now. They definitely deserved that Oscar.
2018
Twitter conversation about long-term pre-paid archival storage. I kicked off a conversation on Twitter yesterday about long-time archival storage of web content: “Anyone know of a web hosting provider where I can pay a lump sum of money to host a file at a reliable URL essentially forever? Is this even remotely feasible?”. The thread is really interesting—this is definitely an unsolved problem, and it’s clear that the challenge is more organizational (how do you create an entity that can keep this kind of promise—does it need to be some kind of foundation or trust?) than technical.
python-twitter/get_access_token.py. Creating an OAuth token for accessing a specific Twitter account is way harder than it needs to be. I was about to write my own command-line script for doing this using PIN-based authentication (where you pop open a browser showing the Twitter login flow, then get a PIN number at the end which you paste back into your script) when I discovered that the python-twitter library already ships with a script to do exactly that. Just run “python get_access_token.py”, paste in your app’s consumer key and secret, follow a link, enter the resulting PIN and the script will spit out the consumer_key / consumer_secret / access_token_key / access_token_secret combo you need to start using the Twitter API.
How about if, instead of ditching Twitter for Mastodon, we all start blogging and subscribing to each other's Atom feeds again instead? The original distributed social network could still work pretty well if we actually start using it
— @simonw
If I tweeted a throwaway comment in appreciation for McDonald’s apple pies and some other randos on Twitter happened to also tweet similar thoughts over the last few months, it doesn’t mean by extrapolation that ‘Millennials Can’t Get Enough Of McDonald’s Apple Pies’. The Twitter search box is not a polling agency and Twitter doesn’t include everybody’s thoughts on everything. Just some people’s thoughts on some things.
Analyzing my Twitter followers with Datasette
I decided to do some ad-hoc analsis of my social network on Twitter this afternoon… and since everything is more fun if you bundle it up into a SQLite database and publish it to the internet I performed the analysis using Datasette.
[... 1,314 words]2017
Early this year, the U.S. intelligence community named RT and Sputnik as implementing state-sponsored Russian efforts to interfere with and disrupt the 2016 Presidential election, which is not something we want on Twitter.