Given the nature of Google’s data collection approach, attempting to establish boundaries on the use of publicly available content becomes challenging. Policing content for potential plagiarism or ensuring accuracy when data is scraped on a large scale presents significant practical difficulties. Moreover, the scraping of public data from the web can lead to broader issues of misinformation and accuracy.
Broader Concerns and Industry Reactions:
Other platforms, such as Reddit and Twitter, have expressed worries about the scraping of public data for AI model training. Elon Musk has reportedly taken a stand against this practice, highlighting limitations that have been introduced to curb data scraping. These concerns and limitations could potentially impact the competitive landscape, benefiting platforms like Facebook’s Threads.