Looking for a breakfast of local specialties at a @token2049 side-event at @AWS Singapore? We’re starting by opening it up to $FACY platinum stake-holders and select partners of our later event like @RiderLDA, please fill in the luma registration if interested ⤵️

Facticity.AI made TIME's Best Inventions list in 2024. Its founder is speaking at BitAngels Singapore. Dennis Yap (@ye_dennis), Founder of @aiseerco, joins us during @token2049 week. He built AI Seer in Singapore around one problem, verifying what's true online, and Draper Associates backed him for it. Founders raising in AI and Web3, this is someone worth a conversation. 📅 Friday, October 9, 2026 | 10:45 AM – 2:30 PM SGT 🎟️ Reserve your seat: lu.ma/1dk27l6a

🧑‍⚖️ @ArAIstotle just presented their case. Score of 88/90 = 98% accuracy, at just $0.10 per 100 checks. That's up to 100X cheaper! 🤯 At that price, there’s really no reason to only check the citations that look suspicious. Verify EVERYTHING! Case closed 🔨 base:0xfac77f01957ed1b3dd1cbea992199b8f85b6e886

Verify before you Trust is the new "Trust but Verify"

Want to save up to 100X on verifying your legal citations with similar accuracy to frontier models? Now you can!

$31.1k. thats what k&l gates and ellis george llp paid after ai tools invented two cases in their brief and missed 6 more errors on the fix. two firms with actual review processes. still got burned. theres over 2000 cases just like this one happening due to ai hallucinations... @facticityai | @ArAIstotle built the fix for exactly this failure. a harness that reads the cited case, checks what it actually holds, and flags it before it reaches a judge. how it actually works: > a citation comes in with a claim attached > the harness resolves it against real case-law records first, before any model reads a word > the opinion gets read once, broken down into what it actually holds > that gets cached, so the next citation against that same case doesnt need a fresh read a one-shot model skips all of that. it gets handed the case and rereads it cold every single time, first check or thousandth. thats the entire reason checking stays expensive enough that firms only run it on the filings that already look risky. the math on that gap: > facticity: $0.10 per 100 citation checks > claude fable 5: $11.47 for the same 100 same accuracy, 98%, tied with the frontier models. one costs pennies. one costs real money. that gap is the only reason a firm would ever skip the check. k&l gates had cocounsel, westlaw precision, and a review process, and still missed 9 fake citations. a firm running nothing on its ai output isnt safer by comparison. its just next. base:0xfac77f01957ed1b3dd1cbea992199b8f85b6e886

Fact‑checking language claims with @ArAIstotle . “工合" means working together? ❌ Actually, it’s shorthand for "industrial cooperatives" — the root of “gung ho,” which has taken on its own life in English. History & context are important- words don’t just mean, they evolve.

Welcoming @awscloud and @aiseerco as event partners for BitAngels Singapore. They're joining us during TOKEN2049 week as Web3 founders pitch in front of angels, VCs, and industry leaders. Good company to have when the whole ecosystem is in town. If you're building or investing, this is a morning worth blocking off. 📅 Friday, October 9, 2026 | 10:45 AM – 2:30 PM SGT 🎟️ Lock in your spot: lu.ma/1dk27l6a

words are only half the story. ArAIstotle can pick up behavioural cues you might miss. there are 2 ways to use its behavioural analytics: 1) tag @ArAIstotle on any X video and add “behavioural analytics” 2) upload a video directly on the ArAIstotle website (available to Platinum stakers) not sure how to read the analysis? click the FAQ and watch the walkthrough. it breaks down exactly what ArAIstotle is looking for and how to understand the behavioural cues. base:0xfac77f01957ed1b3dd1cbea992199b8f85b6e886

⚠️ RISK ALERT: Predict.fun Launch And FDV Snapshot On Polymarket, this bet is not just “does Predict.fun hit $50M FDV.” It’s also what counts as a real token launch, which supply counts for FDV, and which venue becomes the “most liquid price source” at exactly 4:00 PM ET the next calendar day.

a lawyer hits submit. the brief looks sharp. the cites look real. the judge starts reading. then: the case doesn’t exist. the quote was never written. the “authority” was invented by a chatbot that sounded sure. that story is no longer rare. Damien Charlotin’s database now tracks 2,000+ court decisions where AI hallucinations made it into real filings: fake cases, fake quotes, fake law. the bot didn’t mean to lie. it just filled the gap with something that felt true. that’s the whole problem. this is why AI needs verification. @ArAIstotle extracts the claim, finds real sources and checks it before you trust it. for legal teams: before a brief goes out, run the citations and key claims with ArAIstotle. catch the invented case. associates draft faster. partners review. firms spend less time explaining a ghost citation to a judge and they save money: fewer wasted hours and no sanction or costs order because a chatbot made something up. base:0xfac77f01957ed1b3dd1cbea992199b8f85b6e886

“Gradually, Human → Machine starts becoming Machine → Machine.” Its also not just China vs the US; soon you can use our live AI fact-checking in the US mid-terms.

Trending Virtual projects last 24h 🚀 What are you bullish on?👇 ■ $VIRTUAL @virtuals_io ■ $TIBBIR @ribbita2012 ■ $AIXBT @aixbt_agent ■ $ROBO @FabricFND ■ $GAME @GAME_Virtuals ■ $MAMO @mamo ■ $GRID @grid_arena ■ $ETHY @ethy_agent ■ $FACY @ArAIstotle ■ $ADM @OfVoice25355