How does Grok 3's DeepSearch handle conflicting data points

1. Cross-Checking Facts: It verifies information across multiple sources to ensure accuracy and consistency. Proces ten pomaga w identyfikacji wiarygodnych punktów danych i odrzucaniu tych, które są mniej wiarygodne [2] [3].

2. Evaluating Source Credibility: DeepSearch assesses the credibility of sources to determine which information is more trustworthy. Ta ocena ma kluczowe znaczenie w rozwiązywaniu konfliktów poprzez priorytety danych z renomowanych źródeł [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. Takie podejście pomaga w syntezy spójnej narracji z sprzecznych punktów danych [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].