Synthdata
966 posts
@SynthdataCo
Succeed in Financial Markets with Predictive Intelligence on Equities, Crypto and Commodities | Bittensor SN50
Buyback #1 Complete 9,965.64 SN50 was purchased at an average price of $1.50. Buybacks will continue weekly over the next 8 weeks to support the growth of the Synth ecosystem.
one of the clearest patterns in polymarket’s short-term btc markets shows up off-platform. across ~11.8k polymarket btc up/down cycles, binance spot volume jumped into the close when the polymarket contract was still trading like either side could win. when the contract was already priced away from 50/50, the burst mostly vanished. 1/8
Hundreds of competing AI models building the most powerful synthetic data for market predictions. James Ross (@jamesrosst) of Synth (SN50) on the investment case for decentralised financial forecasting. TOMORROW - Wed 1 July 2026, London £100, or £50 with code DSVFRIEND dsvfund.com/inside_bittens…
Claim: Autoresearch that moves the frontier will be about better data: we call that *Autodata*. 🧵1/6 -- Paper is out! arxiv.org/abs/2606.25996 Key idea: agentic data creation provides a way to *convert increased inference compute into higher quality model training*. We show our method gives gains on computer science, legal and math problems over classical synthetic dataset creation methods. We also show how to train (meta-optimize) such a data scientist agent, so that it can create even stronger data. Overall, we believe this direction has the potential to change how we build AI data!
🧬📡🚀🌌 ??
been circling back to the same question: why hasn't prediction market defi materialized yet (even though we're still very early) the answer might be simpler than most think in the sense that binary outcomes go to zero overnight. you can't build lending, yield, or risk products on top of a coin flip because almost every model breaks scalar/distribution markets change this and it's been a recurrent topic in some of the conversations i've been having the past few days instead of binary outcomes, you have a payoff that is continuous and positions that settle on a curve (not at $0 or $1) this allows for partial loss, proportional payout, gradual degradation which is (in part) exactly what lending protocols and risk engines need to function a structural change in how outcomes work that makes prediction markets compatible with defi for the first time the first encounter i had of this was the article by Dave from paradigm. still very relevant today
One day. One room. The subnet owners themselves. Inside Bittensor Leicester Square Theatre, London 10am – 4pm On stage: Will Blears (@will_mizu) - Bitcast, SN93 Josh Riddett - Green Compute, SN110 Rob Warner (@adtao_ppcrebel) - AdTao, SN21 Max Sebti (@MaxScore) - Score, SN44 James Ross (@jamesrosst) - Synth, SN50 Hosted by @markcreaser & @siamkidd Wed 1 July 2026, London £100, or £50 with code DSVFRIEND dsvfund.com/inside_bittens…
Aerodrome to Launch Predictive Allocation, Bringing Prediction Market Dynamics to Liquidity Allocation Aerodrome, the largest DEX in the Base ecosystem, will launch its Predictive Allocation mechanism in July, replacing historical performance-based incentive allocation with a model that rewards participants for anticipating future liquidity demand. Users who correctly identify where liquidity will be needed next can earn a larger share of protocol revenue. The team said the mechanism combines elements of prediction markets and AMMs, directing liquidity incentives toward expected future demand rather than past trading activity.
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.
