Numerai Meta Model Achieves 3rd Place Ranking with $6.​5M Staked

**Autonomous AI agents are now handling the entire Numerai workflow** - from writing code and updating models to submitting predictions automatically. - AI agents operate 24/7, managing research loops, staking, and live feedback without human intervention - Community tools and Numerai's agent stack are **scaling collective intelligence** across the platform - The system enables more contributors and models to strengthen the Meta Model - Represents a shift from manual prediction submissions to **fully autonomous agent deployment** This marks the realization of Numerai's original vision: a platform where contributors deploy self-managing agents rather than manually submitting predictions. [Deploy your agent](http://numer.ai/onboarding)

Numerai has released a new onboarding process that guides users through setting up automated agents for their platform. **Key Features:** - Automates training, submissions, and research workflows - Setup process takes only minutes to complete - Builds on Numerai's existing agent capabilities, including their Research Assistant The platform previously introduced Numerai Skills, featuring an agent that designs experiments and measures success using the same methodology as the core team. Users can begin automating their Numerai workflows at [numer.ai/onboarding](https://numer.ai/onboarding)

Numerai's open source example scripts have reached over 2,200 clones since their release, marking significant adoption among data scientists and researchers. **What are Numerai Skills scripts?** - Open source, customizable code templates - Allow users to encode their research methodology into autonomous agents - Available on [GitHub](https://github.com/numerai/example-scripts#numerai-example-scripts) **Growth trajectory:** The scripts saw 300+ clones in just 14 days back in early March, demonstrating sustained interest in the platform's approach to decentralized AI prediction markets. **Why it matters:** This adoption shows growing interest in tools that let researchers automate their trading strategies and prediction models without starting from scratch. The open source nature enables the community to build upon and customize existing frameworks. Numerai operates a hedge fund powered by crowdsourced predictions, where data scientists stake NMR tokens on their models' performance.

Numerai has announced the winners of its 2025 season across three prediction markets: - **Numerai**: [bguberfain](https://numer.ai/~bguberfain) - **Numerai Signals**: [robprofit](https://signals.numer.ai/~robprofit) - **Numerai Crypto**: [asm_msa](https://crypto.numer.ai/~asm_msa) The Grandmaster title recognizes top performers who submitted predictions and staked NMR tokens throughout the season. These winners demonstrated consistent accuracy in their machine learning models across stock market predictions, trading signals, and cryptocurrency forecasts. The 2025 season results follow the 2024 season, which saw different champions including belixrogner, ninesigma, and crowdcent in their respective categories.

**NumerCon 2026** registration is now live for the upcoming conference. - **Date**: January 30th, 2026 - **Location**: San Francisco - **Registration**: [Open now](https://luma.com/numercon2026) The annual Numerai community conference brings together data scientists, researchers, and crypto enthusiasts focused on decentralized prediction markets and machine learning. Early registration is recommended as spots typically fill quickly for this specialized event. [Register here](https://luma.com/numercon2026) to secure your attendance.