What could have been
5 days ago
- #Technology
- #AI
- #Software Development
- AI discourse is pervasive, with strong opinions on both sides about its impact and future.
- Many AI features added to software are unwanted and degrade user experience.
- Significant resources are funneled into AI, potentially at the expense of improving existing technology.
- Current technology and critical infrastructure are neglected in favor of chasing AI advancements.
- Examples like Gamescom's failed AI meeting generator highlight the mismatch between AI features and user needs.
- Conference networking apps are often broken, yet AI integration is prioritized over fixing core functionalities.
- The motivation behind AI integration is often short-term profit rather than product improvement.
- The 'enshittification' of products is a growing concern, with long-term viability sacrificed for immediate gains.
- Funding for AI could instead support open-source projects and critical software development.
- The opportunity cost of the AI bubble is significant, with years of potential progress lost.