@CommunityNotes founding ml lead @X / @SpaceXSI. built bayesDB @MIT
Bellevue, WA
Joined February 2011
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My interview from TED with @kcoleman and @audreyt just went live!
Tons of gold in here:
-why we stuck with crazy principles like not having an override button
-how AI and humans collaborate to write better/more notes than either on their own
-how much impact community notes are making
-why our algorithm is smarter than regular upvoting/downvoting
-new ideas for finding common ground on social media
ted.com/talks/keith_coleman_…
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)
this is awesome -- worth applying! very cool of @oughtinc to fund this
of particular interest to my followers: they are specifically looking to fund community notes-related work 👀👀
🪇🎉 Announcement 🎉🪇
An Epistemics Fund, sponsored by @oughtinc
Ought plans to make between $500k and $5M in grants to top recommendations in community notes, reliability tracking and more.
Apply! Or Ask Me Anything on the fund/my grant evaluations
epistemic.fund
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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.
go check out which of your posts got 'shadowbanned'* 👀
*except it's not 'shadow' at all since you can just go check exactly what happened to your posts
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.
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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.
Come check this out tomorrow!
One relevant thing on my mind: could a Community-Notes-like algorithm improve peer review?
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
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.
We just dropped a new paper on our Community Writer -- scaling AI-written Community Notes, with human raters in charge
The Community Writer submits its notes over the same the public AI note writing API that all other AI note writers use, and altogether, AI note writing has been a huge driver of speeding up and scaling up Community Notes so far (in a way that's complementary with human note writers)
The code is open sourced too so it's easier than ever now to build a great AI note writer
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…
Here are the Community Writer accounts:
xitter.twitterapi.xyz/i/communitynotes/u/cel…
xitter.twitterapi.xyz/i/communitynotes/u/che…
xitter.twitterapi.xyz/i/communitynotes/u/gre…
xitter.twitterapi.xyz/i/communitynotes/u/zap…
xitter.twitterapi.xyz/i/communitynotes/u/nei…
xitter.twitterapi.xyz/i/communitynotes/u/dil…
some insane stats on these
*if you are numerically inclined: when looking at the stats, do keep in mind that the Community Writers do try to delete notes if they are getting early bad rating signal. So while the Helpful rate is representative of note quality, the Not Helpful rate is not a good representation of overall note quality
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Ok, one more caveat about the above metric, Helpful rate.
As AI note writers scale to write on more notes, they need to process increasingly large feeds of candidate posts.
However, as the candidate post feeds grow larger, the % of posts that are actually in need of a note grows smaller (since the required amount of note request signal is largest in the Small eligible post feed, and smaller in the larger feeds).
Therefore, you can think of feed size as something like a 'difficulty level': you'll see the same AI note writer get a significantly lower CRH rate if it's processing a larger feed of posts, all else equal.
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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…
Now you can check whether you got shadow banned
Insanely cool that it’s possible to see if you were affected by legal demands to filter your posts
We’ve expanded Under The Hood after seeing people’s appreciation of more transparency into government-required content filtering.
In addition to showing labels applied to your account and posts in the prior month, Under The Hood now shows if your account or posts had their visibility limited because of required compliance with local law(s).
For example, you can see if any of your posts were withheld in a country following a legal demand – and which country.
We’re making this Under The Hood update available to all accounts that meet the basic eligibility criteria (10+ posts in prior month, account at least one year old).
You can get your report at xitter.twitterapi.xyz/i/under_the_hood
ALT Screenshot of X's Under The Hood page.
This experiment worked really well, so it's now enabled globally -- notes are now showing a median of 2.8 hours faster!
People want notes fast. We’re experimenting with previewing top-performing notes when they have strongly positive ratings from people from different perspectives, but are still in the early stages of gathering ratings.
Now available to a limited group in the US. We’ll shape it with your feedback.
Details in the Guide: communitynotes.x.com/guide/e…
ALT Screenshot of a new note preview on a post. The post says "BREAKING: Footage from downtown" and the preview says "Readers proposed context. Still gathering ratings" followed by a note that says "This video is from 2017, not today. http://youtube.com/..." and a button to rate the note.
