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In exploring the performance of AI systems, a recent trial preparation experience revealed discrepancies in ChatGPT's summary abilities compared to Deep Seek. Despite efforts to get accurate quotes from ChatGPT, the results were incorrect and misleading, leading to frustration. In contrast, after switching to Deep Seek, a transcript was summarized correctly and efficiently within seconds, demonstrating superior performance. The speaker highlights a disparity in investment between U.S. AI companies and China's AI development costs, criticizing how technology giants prioritize profits through monetization after public funding. This disparity raises concerns about accessibility and fairness in AI advancements.
ChatGPT was used to summarize deposition transcripts for trial preparation.
Deep Seek efficiently summarized the same transcripts with accurate quotations.
Critique of the U.S. versus China's AI spending and impact on accessibility.
The speaker's experience underscores the ethical implications of reliance on AI for critical functions. As AI systems like ChatGPT are still maturing, their inaccuracies can deeply impact sectors like legal proceedings. Companies should prioritize transparency and accountability in AI development and deployment, ensuring that AI is vetted for reliability before being utilized in sensitive contexts.
The contrast between ChatGPT and Deep Seek reveals a critical market trend: efficiency and effectiveness dominate successful AI solutions. Investors must consider not just the financial backing of AI firms but also the operational capabilities of their products. As competition heats up, particularly with emerging players like Deep Seek, established companies may need to reassess their strategies to remain relevant and trusted in the rapidly evolving AI landscape.
Deep Seek was implemented to provide a quick and coherent summary of the deposition transcripts that ChatGPT failed to deliver.
In this context, its limitations in accurately summarizing legal transcripts during trial preparation were highlighted.
The speaker criticized how technology companies often charge users heavily after benefitting from public investments.
OpenAI's ChatGPT was discussed regarding its performance and shortcomings in summarizing legal documents.
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It was noted for outperforming ChatGPT with accurate results in a trial context.
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