Como o DeepSearch do Grok 3 lida com pontos de dados conflitantes

1. Cross-Checking Facts: It verifies information across multiple sources to ensure accuracy and consistency. This process helps in identifying reliable data points and dismissing those that are less credible[2][3].

2. Evaluating Source Credibility: DeepSearch assesses the credibility of sources to determine which information is more trustworthy. This evaluation is crucial in resolving conflicts by prioritizing data from reputable sources[2][3].

3. Pattern and Trend Identification: By analyzing patterns and trends in the data, DeepSearch can infer which information is more likely to be accurate. This approach helps in synthesizing a coherent narrative from conflicting data points[2].

4. Synthesizing Information: After analyzing and evaluating the data, DeepSearch compiles its findings into a structured report. This report includes a summary of the research, detailed sections on different aspects of the query, and citations or links to sources for verification, ensuring transparency and trust in the AI's responses[2][3].

Despite these strengths, Grok 3's DeepSearch still faces challenges, such as occasional hallucinated URLs and factual inaccuracies without proper citations, which highlight ongoing refinement needs[1][5].