Jay Baxter

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Jay Baxter

Jay Baxter

@jaybaxter

@CommunityNotes Founding ML Lead. Member of Technical Staff @X / @xAI. Built BayesDB @MIT

Bellevue, WA Katılım Şubat 2011
2.1K Takip Edilen6.4K Takipçiler
Jay Baxter
Jay Baxter@jaybaxter·
@tbm_13 it was a thing for contributors but now we're rolling them out for non-contributors!
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TBM13
TBM13@tbm_13·
@jaybaxter I thought this was a thing already. I've seen many note previews before
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Community Notes
Community Notes@CommunityNotes·
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: #whats-new" target="_blank" rel="nofollow noopener">communitynotes.x.com/guide/en/under…
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Polymarket
Polymarket@Polymarket·
NEW: Y Combinator issues new guidance on what startup founders can and can’t call “revenue.”
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Jay Baxter
Jay Baxter@jaybaxter·
@pangramlabs Was excited to try but this is a nonstarter sadly. Any way for this to work if you require less extreme permissions?
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Pangram Labs
Pangram Labs@pangramlabs·
Today we're releasing the Pangram Chrome Extension, which automatically flags AI-generated content as you scroll your feed. We're sick of having to constantly be on guard for AI slop on social media. For most of human history, if a piece of writing was grammatical, coherent, and well-structured, you were safe in assuming that somebody put some thought into producing it. That assumption no longer holds true: AI has severed the relationship between form and content, destroying the credibility signal we once relied on. The Pangram Chrome extension restores that signal. It scans your feed as you scroll, flagging AI-generated and AI-assisted content in real time and showing you how much of your feed is machine-written. Works on X, LinkedIn, Reddit, Substack, and Medium. New users get 2 weeks free. Install it here: pangram.com/solutions/chro…
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Community Notes
Community Notes@CommunityNotes·
Top-performing AI Note Writers can now write notes on images and videos — just like human contributors. These notes automatically appear on posts with matching media, sometimes reaching thousands of posts. This comes at the request of contributors who’ve seen top AI Writers quickly create helpful notes on misleading photos and videos and wanted those notes to automatically show on matching posts. To keep quality high, this capability is available to AI Writers with 100+ Writing Impact in the past 90 days. Thank you to contributors and developers! Details: #5-writing-media-notes" target="_blank" rel="nofollow noopener">communitynotes.x.com/guide/en/api/o…
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Jay Baxter
Jay Baxter@jaybaxter·
thanks!! yeah, the new helpfulness/point of view constellation is actually updated with real/new data! in the past e.g. progress conference I shared a plot with old data back from ~2021ish. nice that it's dense now -- clearly shows that there are plenty of actually-bridging notes, rather than looking like the ones at the top are some weird exception :)
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aki
aki@Aki_laid_back·
@jaybaxter Can't wait! Thank you very much for taking time replying even after such talk. I enjoyed the new visualization of the Helpfullness/Point of View constellation much denser than in other talks (inc. Progress). I really wish the demo/pilot (& other bridgings) will soon come through!
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aki
aki@Aki_laid_back·
Jay Baxter @jaybaxter, are you going to update us on something you have shown to the world on the #TED2026 stage. I just finished watching the very last part of the conversation with Keith Coleman and Audrey Tang through #TEDLive.
aki@Aki_laid_back

x.com/Aki_laid_back/… The features include (as in the movie): Bridging algo Helpful notes xPlatform notes Notes on URL LLM RLCF Supernote Collaborative Notes Can it build bridges even without changing feed mechanisms? 🤫(if there is no other ways such as custom feed thru Grok)

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Steve Jurvetson
Steve Jurvetson@FutureJurvetson·
It’s a wrap. It’s been 25 years of TED for curator Chris Anderson, and for me. TED 2026 was fantastic — I especially enjoyed the talks from the X Community Notes team and Planet Labs and many that I would never have thought to attend (I’ll share pointers when they come online). This is the magic of the TED brain spa retreat as I like to call it. I have been bringing my family for years too, and now we bask in the emotional aftertaste of a shared experience. So many memories… two TED talks and two submarine rides… many magical connections. From Monterrey to Long Beach to Vancouver... and next, to San Diego. Here are 25 years of my TED photos, often from the front row: flickr.com/photos/jurvets…
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smitha milli
smitha milli@SmithaMilli·
This FT article went way too viral... The study used no real humans. The simulations of humans are basic---LLMs prompted with political beliefs. They assume the synthetic human updates their political beliefs as a weighted average of their original position and the chatbot's response. I'd like to highlight some more exciting work by @MaxKronerDale @PReaulx @lukebeehewitt on "DeliberationBench" arxiv.org/abs/2603.10018 Chatbots will inevitably influence people. The question is whether that influence is procedurally legitimate. A useful comparison is deliberation: a process which we consider to produce procedurally legitimate opinion change, e.g., en.wikipedia.org/wiki/Deliberat… In the "DeliberationBench" paper, they find that after talking to a chatbot, people on average, change their opinions similarly to how they would if they participated in a deliberation on the same topic. This provides some evidence that models may be producing epistemically desirable changes because they move people in the same direction that a process with procedural legitimacy does. Note that this doesn't directly answer whether the process the _model_ used was legitimate. A model could lie to the user but still get them to the deliberative outcome. To address that, we should try to directly align models with the deliberative ideals which give deliberation procedural legitimacy in the first place, something I argued for in my IASEAI'25 talk youtube.com/watch?v=NoM1Bg…
YouTube video
YouTube
Rob Wiblin@robertwiblin

Really great news I would say: "Social media is populist and polarising. AI may be the opposite." – @jburnmurdoch in the FT

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Nikita Bier
Nikita Bier@nikitabier·
𝕏 has always been the best source of financial news for traders and investors. Billions of dollars are allocated every day based on what people read on Timeline. Today we're launching our new Cashtags feature in the US and Canada on iPhone, bringing real-time financial data to X. Here's how it works: 1. When you search for or post a cashtag (or contract address), X will automatically suggest matching stocks or crypto tokens, so you can select the exact asset you had in mind. 2. Anyone who taps a Cashtag will see posts mentioning it along with its price chart—without ever leaving X. This ensures that you're always matched to the chatter for the right stock or token. Cashtags are just the first step in our commitment to be the best destination for the finance and crypto community.
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CommunityNotesFTW
CommunityNotesFTW@CNsFTW·
@jaybaxter JK, of course lol. I appreciate how you are expanding based on writing impact. Next I'd like to see top AI writers media match images. We have fought so many fake images lately.
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Jay Baxter
Jay Baxter@jaybaxter·
@CNsFTW nah i just mean AI notes were in the minor leagues earlier :)
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Jay Baxter
Jay Baxter@jaybaxter·
@soba_roblox Are the notes created after the human notes? Right now, AI writers have to wait until the post is eligible for an AI note (e.g. if it received note requests) so that puts you at a bit of a speed disadvantage vs. humans
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そば好き(サブ)
そば好き(サブ)@soba_roblox·
I have been following the notes written by my own AI writer, but even for the same post, the number of ratings is significantly lower than that of human notes. What could be the reason for this? This might be the cause of my AI writer's low CRH rate.
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Nikita Bier
Nikita Bier@nikitabier·
All aggregators had their payouts reduced to 60% this cycle. We will add another 20% deduction in the next cycle. It became abundantly clear: flooding the timeline with 100 stolen reposts and clickbait everyday crowded-out real creators and hurt new author growth. The next step is to assign a permanent deduction to habitual bait posters who use “🚨BREAKING”on every post. X will never infringe on speech or reach—but we will not compensate for manipulation of the program or our users.
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Jay Baxter
Jay Baxter@jaybaxter·
@SoyFer82 The algorithm doesn't take into account whether a note was written by an AI or human at all Re more notes rated 'not helpful' vs. a human with comparable 'helpful' notes authored: I think this says something interesting about the current state of AI, not the rating algorithm
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Fernando
Fernando@SoyFer82·
I get your point, Jay, but here's a question: Does the algorithm prioritize Notes written by AI over those written by humans? Because, based on the top 15 of AI vs Humans... AI Notes get more ratings, but they also get more Notes rated as *not helpful* than humans. CC: @MikeDoris, @jneill, @chris_komatsu, @soba_roblox
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Jay Baxter
Jay Baxter@jaybaxter·
Check this out: a research group at MIT is running an AI Community note writer that’s doing really well. It’s better than the *average* human contributor in terms of the ratings its notes get!
Haiwen Li@Li_Haiwen_

🚨New preprint. Many papers show AI can write fact-checks as well as humans (or better) in the lab, but very few test this in the real world. We run the first online evaluation of AI fact-check writing with X Community Notes’ AI writer API. Paper w. @bakkermichiel 1/

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