The use of AI diffusion models for assets and LLMs for code is creating a new wave of "shovelware," a term typically used for low-quality video games. This AI-driven approach, while not yet cheaper than traditional methods, has the potential to produce a significantly larger volume of subpar content more rapidly. Developers are employing these AI tools with the same lazy methodologies seen in decades of video game shovelware, resulting in a similar end product but with increased efficiency in content generation. AI
IMPACT This development suggests a potential increase in low-quality, AI-generated content across various digital media, impacting user experience and content quality standards.
RANK_REASON The item discusses the concept of "shovelware" in the context of AI-generated content, drawing parallels to the video game industry. It does not report on a specific AI release, research, or significant industry event, but rather offers an opinionated commentary on a trend.
Read on Mastodon — sigmoid.social →
AI-generated summary · Google Gemini · from 1 sources. How we write summaries →
