@CommunityNotes founding ml lead @X / @SpaceXSI. built bayesDB @MIT
Bellevue, WA
Joined February 2011
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Jay Baxter retweeted
X is the *only* social media service where you can see the algo code & whether your reach is inhibited
Want to know how your posts are distributed on X? You don’t have to take our word for it:
• For You Algorithm: Open-source so anyone can study how X’s feed ranking works. github.com/xai-org/x-algorit…
• Under The Hood Reports: Think you're "shadowbanned"? Check if any labels are limiting your account or posts in For You — and critique if something looks off. xitter.twitterapi.xyz/i/jf/under_the_hood
• Legal & Country Restrictions: Under The Hood reports also show if a government demand or legal request is restricting your reach, and in which country.
And we’re working on more…
Jay Baxter retweeted
this is awesome
both the fund, obviously, but also the way Common Notes are built natively into epistemic.fund
this is the way to make community notes actually used on websites! (rather than relying on people to e.g. all download a chrome extension)
Jay Baxter retweeted
Just fully* resigned from JMLR. I still believe in science, but journals needs a complete rethink. AI reviews by top models are now much better than time-pressed human ones. OTOH, one-time gate keeping (accept / reject) doesn't make sense. The literature is going to be moving faster than ever. We need to think about it as a distributed data structure, and start over.
Jay Baxter retweeted
My favorite things about this:
- You can see which of your posts have a visibility-limiting label, and decide if you think it's fair
- You can even see if a legal (eg government) demand is limiting one of your posts, and in which country!!
Continuing to deliver unprecedented transparency to the people 💪
Under the Hood now shows you which posts received a visibility-limiting label, making it easier to see what’s affected: xitter.twitterapi.xyz/i/jf/under_the_hood
This was a top request — thanks for the feedback.
You’ll see the specific posts listed when fewer than 5% of your posts during the report period have that label.
ALT Screenshot of X's Under The Hood feature, showing a list of posts that have a given label.
Jay Baxter retweeted
Curious about the story behind Community Notes?
Tomorrow, its co-creator @jaybaxter joins us to share how a small experiment at X grew into a system fact-checking world leaders
10 AM PT tomorrow (Oct 30th) bring your questions:
luma.com/2ijkp0nx
Jay Baxter retweeted
Voter guides are most useful where they disagree. If the Chronicle and the League of Women Voters split on a prop, that's the one to read up on. @OpenBallotApp lines them up so you find those in a minute instead of an evening.
Jay Baxter retweeted
Community Notes really a huge feature upgrade and other platforms should follow suit.
Jay Baxter retweeted
We're open-sourcing the Community Writer, an AI note writer designed to reflect the will of the people, which, together with the open note writing API, has helped drive an 86% increase in the number of notes on X that people from different perspectives find helpful.
The Community Writer works by incorporating input from the public throughout the note writing process.
We've written a technical report detailing how it works and the impact of the Note Writing API overall. And we’re making the code open-source under Apache V2 so that it can be used to advance research and scale informative context across the internet.
Technical report: arxiv.org/abs/2609.40067
Code: github.com/xai-org/community…
Jay Baxter retweeted
Last week, @X sued several people who abused Creator Revenue Sharing by operating a coordinated network of accounts, posting inauthentic content to manipulate engagement, and using multiple bank accounts to hide their scheme.
We do not tolerate fraudulent behavior on X -- and will act forcefully to protect our platform and the earnings of genuine creators.
You can read our lawsuit here: transparency.x.com/assets/le…
Jay Baxter retweeted
Automated community notes (backed by an aggregation algorithm, not vanilla AI fact checking) -> I get a light touch retrospective notification that I may have been misled (not necessarily intentionally) is actually great, rare kudos to @X
Jay Baxter retweeted
It's finally here! I gave a TED talk in April in Vancouver, and it was released online today.
You can watch it here:
ted.com/talks/saloni_dattani…
I've also adapted it into an article, which was published last week: worksinprogress.co/issue/fut…
Jay Baxter retweeted
Banger community note
If these data centers are so essential to our national security and economy and have such amazing benefits they should prove it by building them in the richest zip codes in America first.
Readers added context they thought people might want to know
Loudon County, Virginia is the richest county in the United States and also has the most data centers.
usnews.com/news/healthies…
visualcapitalist.com/mapped-u-s-sta…
Jay Baxter retweeted
𝕏 just took algorithm transparency to another level.
Brazilian election rules require recommendation systems to exclude campaign profiles officially submitted to the Electoral Court from recommendations. Legally permitted paid promotion is treated separately.
Instead of quietly applying the rule, X published the source code for its Brazil2026ElectionFilter, currently 1,573 lines long.
The code shows:
• 665 affected profiles, with every username listed
• Their posts are kept out of For You recommendations when you do not follow them
• Reposts and quotes that surface those profiles are also filtered
• Replies are filtered when the conversation history would surface a listed profile
• If you follow one, this specific filter does not remove its posts
• X cites Brazil’s official TSE 2026 candidate dataset
• The file includes public tests covering the logic and confirming the 665-entry count
This filter does not delete or suspend these profiles. X is publicly showing who it affects, why it exists and exactly how its logic works.
You rarely see a major social platform publish a country-specific recommendation filter, every affected username, its exact logic and the tests behind it.
X did.
That is real transparency.
Jay Baxter retweeted
Quite a first update – exemplifies why open-source is great. You don't have to wonder what's going on in Brazil, you can just see the code:
Today’s For You release is in the open-source repo.
Notable updates:
• How ranking weights actually work
• A new filter required for Brazil’s 2026 election
All the details: github.com/xai-org/x-algorit…
Jay Baxter retweeted
> Release algorithm as a gesture of good faith
> Users misunderstand how prediction probabilities work
> “Reports subtract 468 likes! We’re being suppressed.”
Jay Baxter retweeted
“Am I shadowbanned?”
“Is X fair?”
“Why am I seeing this post?”
We want the public to be able to answer these themselves. Today we’re giving an unprecedented level of transparency into the X algorithm so people can audit, critique and even help improve it. Enjoy & send feedback.
Jay Baxter retweeted
After the exchange between @NateSilver538 and @nikitabier, I did a little test to check whether that was true and, to my surprise, what I found suggests that link deboosting was indeed reversed.
What I did is randomly sample 15 tweets by @nytimes between 2019 and today, compute the weekly average number of likes and retweets they got and plot the results along with a trend line.
The idea is that likes and retweets are probably a decent proxy for reach and @nytimes only posts tweets with external links, so by looking at this, we should be able to see any changes in the algorithm with respect to how links are treated.
As you can see, it's pretty clear that, starting around the spring/summer of 2023, posts with links started to be penalized and eventually they were completely nuked until the spring/summer of 2025, when a reversal of that policy seems to have started.
To be honest, this isn't what I was expecting to find, so even if that's just a quick and dirty test and it's hardly a definitive proof, it's good news and I thought I should share the results.
