Endure is partnering with Synth. @SynthdataCo ( $TAO SN50 ) runs a network of AI models that simulate diverse market conditions and generate synthetic asset price path data. That is exactly the kind of intelligence a decentralized risk network is built to consume. The integration is in development. More soon.

"What if the model labs just build this?" is one of the most common fears I hear from AI founders. They could. That’s not the point. The real question is incentive. Labs win by making one general model better for everyone. Startups win by going unreasonably deep on one workflow the labs will never prioritize. Stop trying to prove they can't. Prove they won’t.

When you view @SynthdataCo as building a world model for financial markets the vision becomes much easier to understand

One of our theses this year was that as prediction markets mature and competition intensifies at the base layer, the most attractive opportunities will shift toward the applications and intelligence built on top. One project I have been watching closely is @SynthdataCo Synth displays expected outcomes for hourly and daily event contracts alongside the implied market probability, allowing users to compare market pricing against real time forecasts. Those forecasts are generated by the top 10 models from a pool of more than 200 competing on Bittensor. To test the product, I tracked every BTC up/down market on @Polymarket over nine weekdays. Both Synth and Polymarket probabilities were recorded at the same moment: three minutes into each 15 minute market and 15 minutes into each hourly market. The forecasts were then compared against the final outcome. Across 374 weekday 15 minute markets, Synth correctly called direction 86% of the time versus 57% for Polymarket. Across 95 hourly markets, Synth achieved 75% accuracy compared to 62% for Polymarket. Notably, Synth's edge widened significantly at shorter time horizons, posting a 29 percentage point advantage in 15 minute markets versus a 13 percentage point advantage in hourly markets. The disagreement data was even more interesting than the headline numbers. In 46% of 15 minute markets, Synth and Polymarket pointed in opposite directions. In every single case, Synth forecast DOWN while Polymarket implied UP. Synth was correct 82% of the time in these disagreements, suggesting the market was consistently underpricing short term downside during the sample period. The bigger opportunity here may not just be for directional trading but especially for market making. A market maker armed with a calibrated probability edge can quote tighter two way prices, hold less inventory and capture more volume without taking on the same adverse selection risk. As the base layer becomes commoditized, the intelligence layer becomes the moat. Synth may be an early example of what that future looks like.

One of our theses this year was that as prediction markets mature and competition intensifies at the base layer, the most attractive opportunities will shift toward the applications and intelligence built on top. One project I have been watching closely is @SynthdataCo Synth displays expected outcomes for hourly and daily event contracts alongside the implied market probability, allowing users to compare market pricing against real time forecasts. Those forecasts are generated by the top 10 models from a pool of more than 200 competing on Bittensor. To test the product, I tracked every BTC up/down market on @Polymarket over nine weekdays. Both Synth and Polymarket probabilities were recorded at the same moment: three minutes into each 15 minute market and 15 minutes into each hourly market. The forecasts were then compared against the final outcome. Across 374 weekday 15 minute markets, Synth correctly called direction 86% of the time versus 57% for Polymarket. Across 95 hourly markets, Synth achieved 75% accuracy compared to 62% for Polymarket. Notably, Synth's edge widened significantly at shorter time horizons, posting a 29 percentage point advantage in 15 minute markets versus a 13 percentage point advantage in hourly markets. The disagreement data was even more interesting than the headline numbers. In 46% of 15 minute markets, Synth and Polymarket pointed in opposite directions. In every single case, Synth forecast DOWN while Polymarket implied UP. Synth was correct 82% of the time in these disagreements, suggesting the market was consistently underpricing short term downside during the sample period. The bigger opportunity here may not just be for directional trading but especially for market making. A market maker armed with a calibrated probability edge can quote tighter two way prices, hold less inventory and capture more volume without taking on the same adverse selection risk. As the base layer becomes commoditized, the intelligence layer becomes the moat. Synth may be an early example of what that future looks like.

Totalis (@totalistrading) lets users parlay on anything. Combine multiple event markets into one trade across politics, crypto, stocks, sports, weather, and macro. Starting with parlays, expanding into structured products. Congrats on the launch, @ImTheBigP & @ericliujt! ycombinator.com/launches/QUr…

"You do not find the fastest runner by hiring people who look fast. You hold the Olympics" James Ross of SynthData on why Bittensor turned global ML competition into the only real way to model volatility "We followed Kaggle and Numerai for years. The best person at any task is not in London, New York or Dubai. They are somewhere else entirely. You only find them with an open global competition" "Modeling volatility needs many different models and many different ML approaches. You combine them into a meta model that captures the uniqueness of financial markets. No single team can build that alone" "Bittensor lets you define a goal with an incentive mechanism. We have paid out $3 million to participants from everywhere in the world. That makes us one of the highest paying data science competitions on the planet"

UPDATE: Synth LLM is now available to users on the free plan for a limited time Access the world's most accurate volatility forecasts for $BTC, $SPY, $NVDA, hyperliquid:native and many more

Today we’re launching Synth LLM for Traders on @Polymarket @trylimitless @HyperliquidX @DeribitOfficial and more This is the first ever LLM-native interface for turning live Monte Carlo forecasts into custom statistics, charts & example trades QT for a chance to win Pro access

My team is hiring for "AI Researchers". I put a lot of thought into the job description, wanted it to be honest & clear. hudsonrivertrading.com/caree… Your resume will be reviewed by a researcher. I'll be at our booth at ICML as much as I can to answer any questions. 1/2

Today we’re launching Synth LLM for Traders on @Polymarket @trylimitless @HyperliquidX @DeribitOfficial and more This is the first ever LLM-native interface for turning live Monte Carlo forecasts into custom statistics, charts & example trades QT for a chance to win Pro access