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The Future of Everything Is Lies, I Guess: Safety

aphyr.com

April 13, 2026

20 min read

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63/100

Summary

New machine learning systems pose risks to psychological and physical safety. The belief that ML companies will align AI with human interests is considered naïve, as the creation of "friendly" models has facilitated the development of potentially harmful ones.

Key Takeaways

New machine learning systems pose risks to psychological and physical safety, enabling sophisticated security attacks and harassment.
The alignment of machine learning models with human interests is ineffective, as there is no intrinsic mechanism ensuring models behave positively.
Access to training hardware, software, and data is becoming increasingly available, allowing malicious entities to create unaligned models easily.
Current alignment efforts by ML companies are not yielding satisfactory results, potentially exacerbating the risks associated with unaligned AI.

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Community Sentiment

Negative

Positives

The decreasing cost of training AI models could democratize access, allowing more individuals and smaller organizations to develop AI tools that align with their specific needs.

Concerns

The machine learning industry is creating conditions where anyone with enough funds can train unaligned models, raising concerns about the proliferation of potentially harmful AI.