The rapid rise of generative artificial intelligence like OpenAI’s GPT-4 has brought remarkable advancements, but it also presents significant risks. One of the most pressing issues is model collapse, a phenomenon where AI models trained on largely AI-generated content tend to degrade over time. This degradation occurs as AI models lose information about their true underlying data distribution, resulting in increasingly similar and less diverse outputs full of biases and errors. As the internet becomes flooded with real-time AI-generated content, the scarcity of new, human-generated or natural data further exacerbates this problem. Without a steady influx of diverse, high-quality data,…
Latest Post
Influencers Who Often Post About News, and Who Sees Their Content
How a solar Minecraft server is changing the way we play video games
How Duralex got saved by its workers starting a cooperative
Latvia National Day – United States Department of State
If TikTok poses a grave threat to national security, why are Canadians told they can keep using it?
The Coalition will block the student caps bill. Brace yourself for more uncertainty over international students