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NYT lawsuit could really hurt AI development

The case enters uncharted legal territory, potentially shaping future copyright law applications in AI training.

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  • 📰 New York Times vs. OpenAI: How bad can this hurt LLM development?

  • 🖌️ Midjourney V6 is the greatest advancement in AI image generation yet

  • 🚀 Europe will launch its first exascale computer in 2024

Hey Disruptors!

I hope you all had a great holiday. I have been traveling for the past few weeks and finally landed back in Rio a couple of days ago for New Year. I spent some time in NYC and Pittsburgh over the holidays and definitely did not miss the cold and snow that I had once been acclimated with.

Anyways..things are back to normal here at AI Disruptor.

In this issue, we're exploring a range of groundbreaking developments that are shaping the future of AI. As we navigate these fascinating stories, we'll uncover the implications, challenges, and opportunities they present.


📰 New York Times vs. OpenAI: How bad can this hurt LLM development?

Key takeaways:

  • The New York Times has filed a lawsuit against OpenAI and Microsoft, alleging unauthorized use of its content to train AI models.

  • This legal challenge could significantly impact the development of large language models (LLMs), potentially slowing AI advancement due to copyright concerns.

  • The case enters uncharted legal territory, potentially shaping future copyright law applications in AI training.

The lawsuit by The New York Times against OpenAI and Microsoft could be a watershed moment for AI, particularly in large language model (LLM) development. However, the argument presented by the Times, while significant, has potential weaknesses that merit discussion.

Firstly, the accusation that OpenAI and Microsoft encoded the Times's articles into their AI models' memory could be seen as a simplistic interpretation of how LLMs work. These models, including ChatGPT and Bing Chat, don't store information like a database but rather learn patterns and structures of language from vast datasets. The verbatim reproduction of content could be more about the efficiency of the AI in pattern recognition rather than deliberate encoding of specific articles.

Moreover, the argument that AI models should be taken offline if trained with the Times's content raises questions about the feasibility and fairness of such a measure. Given the nature of the internet and the vast amount of publicly available data, drawing a line on what constitutes fair use in AI training is complex. The idea that the use of publicly accessible information for AI training constitutes copyright infringement might be overly restrictive and could stifle innovation in AI development.

The Times's claim of financial harm needs to be balanced against the broader context of how AI models are trained and the potential benefits they bring. AI's ability to synthesize and learn from publicly available information is a cornerstone of its development. Restricting this ability could have far-reaching consequences, not only for AI developers but also for the myriad industries that benefit from AI technology.

The legal terrain here is indeed uncharted, and the outcome of this lawsuit could set a significant precedent. However, it's essential to recognize the nuances of AI training and the implications of overly stringent copyright interpretations. This case might require a more sophisticated understanding of AI's functioning and a balanced approach to regulation that protects copyright without hampering technological advancement.

As the industry awaits the outcome, it's crucial to consider the broader implications for LLM development and the balance between protecting intellectual property and fostering innovation.


“Defendants seek to free-ride on The Times’s massive investment in its journalism.”

NYT lawsuit against OpenAI

🖌️ Midjourney V6 is the greatest advancement in AI image generation yet

Key takeaways:

  • Midjourney V6 enhances AI image generation with more realistic visuals and legible text rendering.

  • The update, crucial for AI-driven art, also presents new challenges for LLM development.

  • Users must adapt to improved language prompts, signifying a shift in AI-art interaction.

Midjourney's latest release, V6, is revolutionizing the AI art world. Known for transforming text into visuals, V6 takes this a step further with lifelike images and clear text rendering, blurring the line between AI and human artistry. This advancement raises vital questions about the future of LLM development, as the distinction between AI-generated and human-created content becomes increasingly subtle.

The capability to render legible text in images is a standout feature, overcoming a common hurdle in AI image generation. This opens new doors for artists to blend text and imagery seamlessly. However, this innovation requires users to learn new ways to interact with the tool, especially in crafting language prompts – a challenge that marks a significant shift in the tool's operation.

The community's response to V6 is a mix of excitement and adaptation, as users explore its capabilities, ranging from detailed landscapes to integrated text-visual compositions. This exploration underscores the need for users to master new prompt methods, a testament to the tool's evolving sophistication.

From a technical standpoint, V6 represents a substantial leap forward. David Holz, the brain behind Midjourney, highlights the importance of these improvements, like the minor text drawing feature, as responses to user feedback and steps towards expanding creative possibilities.

Midjourney V6 is not just an update; it's a transformative force in AI art, pushing the boundaries of what's possible and inspiring further innovation in AI image generation. As this tool continues to evolve, it reshapes our understanding of creativity in the digital age.


🚀 Europe will launch its first exascale computer in 2024

Key takeaways:

  • Europe is launching its first exascale computer, Jupiter, in 2024 at Germany's Jülich Supercomputing Centre.

  • Jupiter will perform one billion-billion calculations per second, aiding in AI applications, digital twins, and climate simulations.

  • The €500 million project aims to bolster Europe's position in supercomputing and AI innovation.

Europe is stepping up its game in the global supercomputing race with the launch of Jupiter, set to be housed in Germany's Jülich Supercomputing Centre. With an astonishing capability of one exaflop, Jupiter is Europe's first foray into the realm of exascale computing, rivaling the most powerful supercomputers worldwide.

Jupiter isn't just about raw computational power; it's designed for tackling highly demanding simulations and compute-intensive AI applications. From training large language models to conducting high-resolution Earth climate simulations, the supercomputer is poised to make significant strides in various scientific and industrial fields.

The supercomputer's architecture is as impressive as its purpose. It features a liquid-cooled system and is equipped with 24,000 Nvidia GH200 Superchips. Jupiter's applications are wide-ranging, including the development of AI applications and digital twins in healthcare and climate research. It will be accessible to academia, industries, and the public sector, fostering collaborative advancements.

Funding for this €500 million project comes from multiple sources, including EuroHPC JU, a joint initiative between the EU, European countries, and private partners; Germany's BMBF; and MKW NRW of North Rhine-Westphalia. This investment reflects Europe's commitment to advancing supercomputing capabilities.

The project is divided into two modules: the Booster Module, geared towards compute-intensive problems, and the general-purpose Cluster Module, suitable for complex simulations. This dual-module approach prepares Jupiter for future innovations, including quantum computing integration.

While Europe has been trailing behind North America and Asia in supercomputing power, Jupiter represents a significant leap. Thomas Lippert, director of the Jülich Supercomputing Centre, emphasizes Europe's potential to innovate in AI, noting the increasing use of AI model training on supercomputing systems. Jupiter is not just a technological milestone but also a beacon of Europe's growing expertise in software development and AI innovation.

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- Alex (Founder of AI Disruptor)

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