The future of gaming is here

Good morning! I’m so happy you’re here to explore the latest in AI. As usual, the best of the best is lined up for you today. 😁

What’s new? Nvidia has announced DLSS 5, a new AI graphics technology arriving this fall that can generate highly realistic lighting and materials in video games in real time.

How does it work? DLSS 5 uses a neural rendering model — an AI system trained to understand how light and materials behave in the real world. Instead of relying only on traditional graphics techniques, the AI analyzes each frame of a game and enhances it with realistic lighting, shadows, and textures. The system reads information like color and motion from the game engine and then generates more detailed pixels that match the scene. It can recognize complex elements such as skin, hair, and fabric and simulate how light interacts with them. The result is smoother, more detailed visuals that run in real time, even at high resolutions like 4K.

Why is this significant? This technology could significantly close the gap between video game graphics and Hollywood-level visual effects. Movies often take several minutes or even hours to render a single frame, while games must render frames in milliseconds. By using AI to enhance visuals instantly, DLSS 5 will allow developers to create more immersive worlds without sacrificing performance. This means video games may soon become indistinguishable from real-life video.

What's up? Encyclopedia Britannica has sued OpenAI, accusing the company of massive copyright infringement for allegedly using their articles to train AI systems without permission.

Want the details? Britannica, which owns Merriam-Webster, says OpenAI used nearly 100,000 of its copyrighted articles to train large language models like ChatGPT. The lawsuit claims the AI sometimes reproduces parts of those articles word-for-word and may also pull from them when answering questions through a system called retrieval-augmented generation (RAG), which scans outside sources for information. Britannica also argues that ChatGPT sometimes creates incorrect statements and falsely attributes them to Britannica, potentially violating trademark laws. The publisher says AI responses can also replace the need for users to visit original websites, hurting their traffic and revenue without compensation.

Why is this significant? This case is part of a growing legal battle over how AI companies use online content. Many publishers argue their work is being used to train AI without compensation. Courts have not fully settled whether this practice is legal, so lawsuits like this could shape the future rules for AI and digital publishing. To be honest, the longer this type of stuff goes on without legal intervention, the more likely it is that nothing will be ever done about it.

Hi — I’m Hunter, a PhD candidate whose work has appeared in major academic journals and popular tech outlets. I founded FryAI to make staying ahead of AI clear, accessible, and fun.