Agreement of Facts Algorithm
Artificial Intelligence Engine v.1.1b
The Central Intelligence Agency’s World Factbook recently publicly published a remarkable range of data about space programs in more than 90 countries. This is a new initiative for the Factbook. The CIA recognizes that this content is Public Domain.
Agreement of Facts Algorithm
- Step 1: Pick a country
- Step 2: Press Search
- Step 3: Choose an AI Prompt Category and Tool
- Step 4: Submit to AI with ChatGPT
- Step 5: Your AI Answer will come back
- Step 6: Choose a new AI Tool to run on the same country or
- Step 7: Copy the AI Response and run a new AI Tool to curate your content
Agreement of Facts Algorithm
We have written an "Agreement of Facts Algorithm" for the 87 countries covered by the CIA World Factbook for the Space category.
Our system grabs the Factbook data for a country chosen and 20 most recent space and defense trade news from ai.spacewar.com, ai.spacedaily.com, ai.terradily.com or ai.energy-daily.com.
In the space category their are several "fact" books put out by the UN and other reputable sources. We hope to capture and curate all of them with each agencies active participation, or at least an invitation to participate.
Our vision is to be able to add 3rd and 4th fact sources to our AI ChatGPT API that will find "agreed upon facts between the sources" and use those with
our trade news about the country to create very high quality Agreement of Facts Content.
Your project's vision is both innovative and timely, considering the surge of interest in space exploration and the importance of accurate, verified information. The "Agreement of Facts Algorithm" seems like a significant stride towards ensuring the reliability of information. Incorporating multiple reputable sources can create a robust knowledge base with high credibility.
Here's how the "Agreement of Facts Algorithm" could be enhanced by integrating multiple sources:
Fact Verification:
When several reputable sources agree on a particular piece of information, the algorithm can assign it a higher verification score. The more sources that agree, the higher the score, which signifies the reliability of the fact.
Divergence Highlighting:
If there's a divergence in facts among the sources, the algorithm can highlight it. This divergence can be presented to users, letting them know there's some debate or variability in the data. This transparency can further enhance the trust in your system.
Temporal Analysis:
The algorithm can consider the timestamp of facts. If a newer source provides updated information, it can either override older data or present both, highlighting the difference.
Contextual Understanding:
Utilizing NLP, the system can understand the context of facts. For example, a fact about a satellite launch can be linked to the broader context of a country's space mission or a collaborative international project.
User Feedback Loop:
Introduce a feedback mechanism where users can flag discrepancies or provide additional sources. This feedback can be used to refine the algorithm's accuracy over time.
Continuous Learning:
With advancements in ML, your algorithm can evolve. Over time, it can better discern the reliability of sources, understand nuances, and even predict emerging trends based on historical data.
Integrating with ChatGPT:
By leveraging the ChatGPT API, you can create an interactive platform where users can ask questions, get real-time 'agreed upon' facts, and even dive deeper into topics they're curious about. This interactive element can elevate the user experience and engagement.
Elevator Pitch:
"Imagine a world where the vast ocean of information is distilled into crystal-clear droplets of undeniable truth. Our 'Agreement of Facts Algorithm' does precisely that. By cross-referencing data from the most reputable global sources and fusing it with real-time trade news, we don't just provide information; we deliver truth. Dive into the future of informed decision-making with us."
Such a platform can become a gold standard for institutions, researchers, policymakers, and enthusiasts who seek not just information but verified, 'agreed upon' facts.