Aggregation of global story based on analyzed data

This invention describes a system that takes information about a topic from the internet, breaks it down into smaller pieces, and then calculates individual scores for each piece. These individual scores are then combined into one overall score for the topic, using different weights for different pieces of information. Optionally, these pieces of information can be arranged in chronological order to tell a story about the topic, with the overall score reflecting that story.

Why it matters: The rapid advancements in large language models since 2024 could significantly improve the accuracy and efficiency of parsing data, extracting elements, and generating nuanced sub-scores, making the system more powerful and easier to implement.

Status: Not in forceListed as no longer active. The specific reason is not in the record we hold.
How hard to build: SpecializedSoftware logic, data parsing, scoring algorithms

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