Ember
Ember delivers unedited daily AI market calls, leveraging live data to reveal high-conviction signals for smarter betting decisions.

About Ember
Ember is a revolutionary public AI prediction engine designed to bring transparency and accountability to the world of predictive analytics. Built on the principle that trust in AI hinges on its ability to demonstrate its reasoning, Ember operates daily at 7 AM EST, utilizing three distinct AI models: Claude by Anthropic, Grok by xAI, and Gemini by Google. Each model independently evaluates live Polymarket markets, making predictions without any communication between them. This independence fosters a unique ecosystem where divergences of 10 or more points from the crowd are flagged as high-conviction signals. With every prediction timestamped and rigorously tracked over a full year, users can access a public record that is neither edited nor deleted, ensuring that every wrong call is followed by a thorough analysis. Ember is tailored for traders, investors, and enthusiasts seeking reliable insights in an ever-evolving market landscape.
Features of Ember
Independent AI Predictions
Ember leverages three cutting-edge AI models that operate independently, ensuring that each model brings a unique perspective to the table. This independence fosters a diverse range of predictions, allowing users to identify where the crowd consensus may be misaligned with the insights provided by AI.
High-Conviction Signals
When the predictions of Ember diverge from the crowd by 10 or more points, this divergence is flagged as a high-conviction signal. This feature highlights potential opportunities for users to capitalize on market inefficiencies, guiding them towards more informed decision-making.
Publicly Accessible Record
Every prediction made by Ember is locked in before the outcome is known, creating a transparent and publicly accessible record. This commitment to transparency ensures that users can trust the accuracy of predictions, as nothing is edited or deleted after the fact.
Comprehensive Data Synthesis
Ember synthesizes data from over 20 different sources, including prediction markets, bookmaker lines, and AI research feeds. This comprehensive approach allows the AI models to make predictions based on a wide array of real-time information, enhancing the quality and reliability of the insights provided.
Use Cases of Ember
Market Analysis for Traders
Traders can utilize Ember's high-conviction signals to analyze market trends and make informed bets. By identifying divergences between AI predictions and crowd sentiment, traders can gain a competitive edge in dynamic markets.
Investment Decision Support
Investors looking for reliable forecasts can leverage Ember's independent AI models to guide their investment strategies. The transparent record of predictions allows investors to assess the historical accuracy of the models before making significant financial commitments.
Research and Development Insights
Researchers in AI and data science can use Ember to observe how different models interpret the same data. This can foster insights into model performance, biases, and the nuances of AI decision-making processes, ultimately contributing to the advancement of AI technology.
Betting Strategy Optimization
Betting enthusiasts can refine their strategies by analyzing Ember's predictions against real-money outcomes. By understanding where the models disagree with the crowd, bettors can enhance their ability to spot lucrative betting opportunities.
Frequently Asked Questions
How does Ember ensure the accuracy of its predictions?
Ember employs Brier scores, a calibration metric that rewards both accuracy and confidence, to track the performance of its predictions over time. This systematic approach ensures that users can evaluate the reliability of each model.
Can I access historical predictions made by Ember?
Yes, Ember maintains a public record of all predictions made over the course of 365 days. This record allows users to review past predictions, analyze accuracy, and gain insights into the models' performance.
What types of data does Ember analyze?
Ember synthesizes data from prediction markets, bookmaker lines, AI research feeds, and real-time sentiment analysis. This diverse data set enables the AI models to generate comprehensive and informed predictions.
How frequently does Ember make predictions?
Ember operates daily, with predictions released every morning at 7 AM EST. This consistent schedule ensures that users have regular access to the latest insights and market signals.
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