“JUST IN” + high emotion + minimal context = maximum reach
The tradeoff
This model comes with a cost:
•Speed > accuracy
•Virality > verification
•Narrative > nuance”
@nikitabier please help fix the algos of the attention economy
Most AI tools require you to upload your data.
What if you didn’t have to?
Consultants, enterprises, and agents need real-time intelligence, without sacrificing privacy.
With https://t.co/17JF8dYGb0, verification happens where your data lives.
On-device. Real-time. Trusted.
The truth layer is being built.
Great writeup about our new Truth Terminal Features for our $FACY stakers:
•Resolution Risk Index (RRI)
Measures the likelihood that the market will end in interpretive disputes, controversy, or unfair resolution due to vague rules, ambiguous terms, or source dependencies.
Interpretation: Higher scores indicate greater risk of post-resolution disputes. Lower scores suggest the resolution criteria are clear and objective, making disputes unlikely.
•Resolution Fragility Score (RFS)
Evaluates how vulnerable the final settlement is to real-world complications, delays, reversals, or contradictory evidence even after the market resolves.
Interpretation: Higher scores mean the outcome is more fragile and prone to being contested later. Lower scores indicate a robust and stable resolution that is likely to hold over time.
More utility coming to the Truth Terminal soon. Together let’s work towards a world economy where precision matters more than attention, especially when making financial decisions.
(Playing with @claudeai over the weekend, will factcheck this post after posting.)
People playing with Prediction markets lost $127M+ last year to ONE problem:
Ambiguous language.
"Will X acquire Y?" — acquire how? M&A? Hostile takeover? A talent hire?
"Will the leader fall?" — fall from power? Fall ill? Fall in polls?
Kalshi froze $77M on the Khamenei market because "out of office" could mean death OR removal.
Polymarket's Ukraine deal market was manipulated for $7M — "agrees to deal" had no verifiable definition.
The root cause? Words like "suit," "invade," "acquire," and "fall" have 4+ meanings each. Markets treat them as binary. They're not.
AI Seer's patent-pending Disambiguate function fixes this.
It detects polysemous terms in market questions, resolves them to a single operational meaning using context, and enforces true/false dichotomies BEFORE the market opens.
$FACY holders get exclusive access to the Truth Terminal — real-time alerts when new markets use ambiguous language.
No more $77M freezes. No more manipulation. Just clean, binary truth.
The future of prediction markets needs a truth layer.
We built it.
ArAIstotle | https://t.co/MSxuUcD5kH | $FACY
#PredictionMarkets #AI #FactCheck #TruthInAI #Kalshi #Polymarket #FACY
Epoch 1 rewards have been distributed.
$500 USDC split among the top contributors.
Thanks to everyone who participated in the first round of the Truth Library Incentive Program.
Epoch 2 is already running. The leaderboard has been reset. Go claim your spot.
Hey everyone, grateful that the ArAIstotle web3 and pre web3 of our UI has been updated masterfully by a front-end engineer we met through web3. If you haven’t stopped by in a while, please take a look at all our cool new sections and features and a much more pleasant user experience.