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Google’s New Policy: Your Words, Google’s Ownership
Expanding AI Capabilities
The amended language in Google’s policy sheds light on the new ways your online musings may be utilized to advance the company’s AI tools. While the previous policy referred to the data being used for “language models,” the updated policy now explicitly mentions using “AI models” for products like Google Translate, Bard, and Cloud AI.
Going Beyond Conventional Privacy Policies
Unlike typical privacy policies, which outline how businesses utilize user information within their services, Google’s policy suggests a broader scope. It appears that Google is reserving the right to scrape and leverage data from any public corner of the internet, treating the entire web as its AI playground.
Legal and Copyright Implications
The widespread web scraping practices conducted by Google, as well as other companies like OpenAI, raise questions regarding their legality. The coming years may witness the courts grappling with copyright issues that once seemed like mere science fiction. Companies like Twitter and Reddit have already taken measures to restrict access to their platforms in an attempt to safeguard their intellectual property.
The Fallout from API Changes
Twitter and Reddit’s decision to limit free access to their API has had unintended consequences. These changes have disrupted third-party tools that countless users relied on to access these platforms. Twitter once even considered charging public entities for posting, a decision that was met with intense backlash and subsequently retracted.
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Elon Musk’s Concerns
Elon Musk, the tech entrepreneur, has been vocal about the dangers of web scraping. He attributed recent Twitter mishaps to the need to prevent unauthorized data extraction from his platform. However, experts in the IT industry argue that rate-limiting and restricted access were likely reactions to technical issues caused by mismanagement or incompetence.
The Twitter Dilemma
Last weekend, Twitter imposed limitations on the number of tweets users could view per day, rendering the service nearly unusable. While Musk blamed this move on data scraping and system manipulation, most IT experts believe it was primarily a crisis response to underlying technical problems.