Tamara Steffens of Thomson Reuters Ventures on Investing in AI Startups

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Model Accuracy
The accuracy of AI models is a critical concern, as highlighted by . She emphasizes the importance of using reliable data sources to ensure accurate outcomes. "If you're using a closed data source that you know the data is accurate, you know, you're not going to have an issue with the wrong answer," she explains 1. This contrasts with models that scrape the entire internet, which can lead to inaccuracies. acknowledges the imperfections in current AI technology but stresses the potential for future improvements 1.
Future Improvements
Looking ahead, is optimistic about the future enhancements of AI models. He encourages focusing on the potential of AI once it achieves perfection, envisioning a future where current limitations are resolved. "I would focus on like what happens when it is perfect because like that will be a future," he states 1. This perspective invites discussions on the transformative impact AI could have across various industries once its accuracy is refined.
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