🚮 Google's AI Garbage

Google Books is indexing AI-generated garbage

Hello, AI Enthusiasts!

In a turn of events that raises questions about the integrity of digital libraries, it has come to light that Google Books has indexed a significant volume of AI-generated books.


  • Google Books is indexing AI-generated garbage.

  • AI surge spurs data center growth.

  • Daily trending & featured AIs boost your career and business.

  • YouTube states OpenAI Sora violates its guidelines.

Read Time: 3-5 minutes


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Google Books is indexing AI-generated garbage.

Imaged by DALL·E 3 and Magna Ding

Google Books has indexed a large quantity of AI-generated books. These books are often of poor quality and contain unreliable information.

The Details:

  • Proliferation of AI-Generated Texts: Uncovering the widespread inclusion of AI-generated books in Google Books, detected through specific phrases indicative of AI authorship.

  • Threat to Research Tools: The potential compromise of the Google Ngram viewer, an essential resource for tracking linguistic and cultural shifts, due to the infiltration of AI-generated books.

  • Google’s Inaction: Despite the flagging of AI-generated content, Google's lack of a robust policy to eliminate such texts from Google Books, questioning the platform's commitment to content authenticity.

Why It Matters:

  • Integrity of Scholarly Resources: The encroachment of AI-generated content into Google Books endangers the trustworthiness of digital archives, posing a direct threat to academic research and knowledge dissemination.

  • Erosion of Content Quality: The unchecked rise of AI-generated books underscores a broader issue of declining content quality on digital platforms, challenging the reliability of online information.


AI surge spurs data center growth.

Imaged by DALL·E 3 and Magna Ding

The significant and often underestimated demand for data centers driven by the rapid growth of AI technology is reshaping the landscape of digital infrastructure.

The Details:

  • Surge in Data Center Demand: At a Bloomberg AI summit, CoreWeave co-founder Brian Venturo noted a sharp rise in demand for data center resources, underscoring that supply chains and markets are hard-pressed to match AI's rapid growth.

  • Rise of Megacampuses: The market's rapid movement necessitates the creation of large-scale data center "megacampuses," a trend driven by the inability of current supply chains to meet the swiftly expanding needs.

  • Tech Giants Struggling to Scale: Prominent companies like Amazon, Google, and Microsoft are facing challenges in scaling their data center capabilities to keep pace with the AI boom.

Why It Matters:

  • Infrastructure Evolution: The shift towards large-scale data center campuses signifies a pivotal transformation in the infrastructure required to support the next generation of AI technologies.

  • Capital Intensity: The immense capital required to fund the expansion of data centers highlights the financial challenges and opportunities within the tech industry, particularly for companies at the forefront of AI and cloud computing.


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YouTube states OpenAI Sora violates its guidelines.

Imaged by DALL·E 3 and Magna Ding

OpenAI has been training its AI tools on YouTube videos. This includes a tool that turns text into video, named Sora. However, YouTube says this goes against its terms of service.

The Details:

  • YouTube's Stance: YouTube CEO Neal Mohan asserts that using YouTube videos to train OpenAI's Sora constitutes a violation of the platform's terms of service, emphasizing the importance of respecting creators' expectations and rights.

  • OpenAI's Position: OpenAI has not provided a direct response to the allegations. There is uncertainty within OpenAI regarding whether Sora was trained on user-generated videos from platforms like YouTube, Facebook, and Instagram.

  • Content Use in AI Development: The incident reflects a larger trend in which companies developing AI technologies seek vast amounts of data to improve the performance of their models. This practice raises questions about the balance between innovation and copyright infringement.

Why It Matters:

  • Creators' Rights: The situation underscores the need to protect content creators' rights in the digital age, ensuring that their work is not used without permission in ways that could undermine their interests.

  • AI Ethics and Legal Framework: The debate highlights the urgent need for a clear ethical and legal framework governing the use of publicly available data in AI training, balancing innovation with respect for copyright and privacy.

  • Future of AI Development: This incident may influence how AI models are trained in the future, potentially leading to more stringent regulations and agreements between tech companies and content platforms to ensure that AI development respects legal boundaries and ethical standards.


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