Prediction markets were one of the first use cases of smart contracts, yet their popularity only recently spiked, following Polymarket’s social media spread. However, while prediction markets are generally zero-sum games, the rise of AI models trained on large datasets led to AI-powered prediction feeds and hedge funds. Crypto offers a unique array of use cases as it allows data scientists to not only share their data sets and models with complete privacy, but also access decentralised computing and model training. While Predictoor employs Ocean’s data infrastructure to run AI-powered prediction bots on lower timeframes, Numerai developed its own AI hedge fund for stocks, that recently also expanded to crypto (Numerai does not trade cryptocurrencies, and Numerai’s Hedge Fund(s) have no relation to Numerai Crypto). Topics covered in this episode: Predictoor & Numerai overviewPrediction marketsPrediction feedsPrediction markets in TradFi and other use casesImplementation of Ocean’s tech in PredictoorPredictions vs. FuturesMarket participantsNumerai hedge fundNumerai’s trust assumptionsThe role of AIThe evolution of AI and how it might solve market inefficienciesNumerai crypto and how it differs from PredictoorPredictoor x Numerai collaborationsThe future of prediction marketsEpisode links: Trent McConaghy on TwitterRichard Craib on TwitterPredictoor on TwitterNumerai on TwitterOcean Protocol on TwitterOasis Protocol on TwitterSponsors: Gnosis: Gnosis builds decentralized infrastructure for the Ethereum ecosystem, since 2015. This year marks the launch of Gnosis Pay— the world's first Decentralized Payment Network. Get started today at - gnosis.ioChorus One: Chorus One is one of the largest node operators worldwide, supporting more than 100,000 delegators, across 45 networks. The recently launched OPUS allows staking up to 8,000 ETH in a single transaction. Enjoy the highest yields and institutional grade security at - chorus.oneThis episode is hosted by Friederike Ernst.

In this day and age, privacy and confidentiality are more important than ever. Advancements in the cryptographic research of zero knowledge proofs (ZKPs), fully homomorphic encryption (FHE) and multi-party computation (MPC) paved the way for computational integrity and confidential computing. While FHE allows for computation to be performed on encrypted data without the need for prior decryption, it is MPC that enables compliance with regulations (e.g. AML). Arcium aims to build a global super computer for parallelised confidential computing, powered by custom MXEs (multi-party computation execution environments). Topics covered in this episode: Yannik’s backgroundConfidentiality & decentralised complianceConfidential computingTEEs (trusted execution environments) & side-channel attacksZKP vs. MPC vs. FHEArcium’s global super computer architectureHow Arcium differentiates itself from other privacy protocolsUse casesCensorship risksEcosystem developmentEpisode links: Yannik Schrade on TwitterArcium on TwitterSponsors: Gnosis: Gnosis builds decentralized infrastructure for the Ethereum ecosystem, since 2015. This year marks the launch of Gnosis Pay— the world's first Decentralized Payment Network. Get started today at - gnosis.ioChorus One: Chorus One is one of the largest node operators worldwide, supporting more than 100,000 delegators, across 45 networks. The recently launched OPUS allows staking up to 8,000 ETH in a single transaction. Enjoy the highest yields and institutional grade security at - chorus.oneThis episode is hosted by Sebastien Couture & Felix Lutsch.