According to @gensynai, Delphi runs a fully on-chain automated market maker for prediction markets using the Logarithmic Market Scoring Rule to programmatically quote prices. Source: X post by @gensynai on Dec 11, 2025. @gensynai adds that, unlike order book venues, LMSR guarantees continuous liquidity, allowing traders to enter or exit positions at any time on the protocol. Source: X post by @gensynai on Dec 11, 2025. Further mechanics and design details are provided in the official explainer for traders evaluating liquidity and risk. Source: Gensyn blog at blog.gensyn.ai/lmsr-logarithmic-market-scoring-rule/.

According to @gensynai, Delphi runs a fully decentralized, on-chain, symmetric LMSR AMM that delivers continuous liquidity from the first trade to final settlement, which is directly relevant for traders seeking consistent market access and execution certainty. Source: @gensynai on X, Dec 8, 2025. According to @gensynai, entries and exits are instant, enabling traders to initiate and close positions without delay throughout the market lifecycle. Source: @gensynai on X, Dec 8, 2025. According to @gensynai, price discovery is clean and transparent, which helps traders assess fair value more clearly during the entire settlement window. Source: @gensynai on X, Dec 8, 2025.

According to @gensynai, Gensyn introduced Delphi as an open market for machine intelligence where models compete and users buy and sell. Per @gensynai, prices react instantly, providing what the team calls the first real-time market signal for model intelligence. The post from @gensynai states that the market mechanism centers on immediate price discovery tied to model performance. The @gensynai announcement does not disclose blockchain, token, or settlement details, so the immediate on-chain market impact cannot be assessed from the source.

According to @gensynai, Delphi will shift from test tokens to real economic value as mainnet approaches, using game-theoretic incentives to secure execution and verification so all market participants have true skin in the game. source: @gensynai; Gensyn blog For traders, this confirms that economic incentives will directly govern network behavior at mainnet, making the incentive and verification parameters key variables to monitor for participation risk and potential returns once disclosed by the project. source: @gensynai; Gensyn blog

According to @gensynai, Delphi lets users watch machine learning models compete live on benchmarks and buy a stake in the models they think are best; source: @gensynai. According to @gensynai, models are evaluated, trades are placed, and prices change dynamically on chain; source: @gensynai. According to @gensynai, when the market settles, those holding a stake in the winning model receive rewards; source: @gensynai.

According to Cas Abbé, MyShell has successfully raised over $16 million from prominent investors including Binance Labs, Delphi, and OKX. This funding round demonstrates significant investor confidence and positions MyShell strategically in the AI and cryptocurrency markets. Notably, MyShell has opted to prioritize product development over immediate token issuance, which may offer a more sustainable growth strategy and appeal to traders seeking robust project fundamentals.