Ember

Ember is a revolutionary public AI prediction engine that operates on the principle of transparency and trustworthiness in predictive analytics. It aims to provide accurate insights into various outcomes by utilizing three distinct AI models: Claude from Anthropic, Grok from xAI, and Gemini from Google. Each model independently analyzes live Polymarket markets daily at 7 AM EST, ensuring that they do not consult one another, thereby preserving the integrity of their predictions. When these models diverge by 10 or more points from the consensus of the crowd, this discrepancy is flagged as a high-conviction signal, indicating a significant predictive insight worth considering. Ember's unique approach emphasizes accountability, as every call is timestamped before the outcome, with no edits or deletions afterward. Users can trust that the predictions are built on a solid foundation of real-time data and rigorous analysis, fostering confidence in decision-making for bettors and analysts alike.

Independent AI Predictions

Ember features three separate AI models that make predictions independently. This means each model approaches its analysis without influence from the others, leading to a diverse range of insights. The independence of these models is crucial, as it ensures that users receive a robust analysis that reflects multiple perspectives.

High-Conviction Signals

When two or more of the AI models disagree with the market consensus by 10 or more percentage points, Ember flags this divergence as a high-conviction signal. This feature highlights potentially lucrative opportunities and encourages users to explore predictions that may contradict popular opinion, providing a unique edge in betting or investment strategies.

Real-Time Data Integration

Ember aggregates live data from multiple sources, including prediction markets, bookmaker lines, and AI research feeds. This comprehensive data integration allows users to make informed decisions based on the latest trends and real-time sentiment, ensuring that their predictions are grounded in current information.

Transparent Record Keeping

Ember prides itself on maintaining an unaltered historical record of predictions. Every call is timestamped and locked prior to the outcome, ensuring transparency and accountability. Users can review each prediction and its outcome, allowing for thorough post-mortem analyses of any wrong calls, thereby learning from past mistakes.

Sports Betting Analysis

Ember is ideal for sports bettors looking to gain an edge over the competition. By utilizing the independent predictions from different AI models, bettors can identify high-conviction signals that indicate potential mispricings in bookmaker odds, leading to more informed betting decisions.

Market Forecasting

Investors and analysts can leverage Ember's predictions to forecast market trends effectively. By understanding where the AI models diverge from the crowd, users can position themselves advantageously in various markets, whether it be financial, political, or tech-related.

Research and Development

Researchers in the AI and data science fields can utilize Ember's methodology as a case study in predictive analytics. The transparent record-keeping and model comparisons provide valuable insights into the performance of different AI approaches in real-world applications.

Competitive Analysis

Businesses looking to understand market sentiment and competitive dynamics can use Ember to gauge public opinion and predict future trends. By analyzing the signals generated by the AI models, companies can better prepare for shifts in their respective industries and adjust their strategies accordingly.

How does Ember ensure the accuracy of its predictions?

Ember tracks the accuracy of its predictions using Brier scores, which reward both the precision of the predictions and the confidence levels of the AI models. This calibration metric allows for continuous improvement in prediction methodologies.

What happens when the AI models agree?

When all three AI models reach a consensus, Ember records this agreement but treats it differently than divergences. The focus is on the high-conviction signals that emerge from disagreements, as these often present the most compelling insights.

Can I access past predictions and their outcomes?

Yes, Ember maintains a transparent record of all predictions and their outcomes, allowing users to review historical data and learn from previous calls. This feature is essential for users who wish to analyze trends over time.

What kind of data does Ember use for its predictions?

Ember synthesizes data from a variety of sources, including real-money markets like Polymarket, bookmaker odds from numerous sportsbooks, and the latest AI research publications. This ensures that predictions are based on comprehensive and current information.