Google’s Bard: Using Public Data to Train AI Models and Sparking Discussions

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    Google, the renowned search engine giant, is making waves with its latest project, Bard—an expansive language AI model. As per a revealing report by Gizmodo, Google’s updated privacy policy indicates the company’s intention to leverage publicly available information to develop and train its groundbreaking products and services, including Google Bard, Google Translate, and Cloud AI capabilities.

    The policy states, “Google uses information to improve our services and to develop new products, features, and technologies that benefit our users and the public. For example, we use publicly available information to help train Google’s AI models and build products and features like Google Translate, Bard, and Cloud AI capabilities.”

    This approach effectively transforms the entire internet into a fertile playground for companies looking to train large language models using publicly accessible data. While this strategy holds promise for Google’s advancement in generative tools, it has raised concerns about the exploitation of the internet’s openness. Elon Musk, the notable entrepreneur, asserts that Twitter’s read limit was implemented to curtail data scraping by companies for training their AI models, restricting data access for individuals and corporations alike.

    Additionally, Reddit’s newly introduced API charges aim to discourage companies from freely extracting data from subreddits. The practice of utilizing publicly available data for training AI models has ignited debates about copyright issues and the consolidation of internet control in the hands of a few powerful entities.

    As Google forges ahead with its ambitious Bard project, the discussion surrounding the use of public data in training AI models underscores the need to strike a balance between innovation, privacy, and the democratization of information on the internet.

    Read more: ChatGPT tricked into generating Windows 10 and Windows 11 keys


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