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AI Limitations

42 summarised stories about AI Limitations, each linking back to the original source. Browse all topics →

Wednesday, 17 June 2026

How to Be Irreplaceable

The Algorithmic Bridge 4 weeks ago

An article argues that workers can become irreplaceable in the AI era by developing skills that cannot be easily measured or described, such as intuition and unique human qualities, rather than focusing on systematized tasks that AI can more readily learn. The author notes that AI has achieved superhuman performance in coding and math but struggles with tasks requiring lived experience, such as creative writing, citing that no significant breakthrough in AI writing has occurred in six years since GPT-3. By developing undescribable skills rooted in personal experience and intuition, workers can maintain value in a world where AI increasingly automates explicit, measurable tasks.

🔮 Is AI immune to groupthink?

Exponential View 4 weeks ago

A researcher tested whether LLM councils (multiple models deliberating together) avoid groupthink by comparing their outputs to individual model answers across 16 open-ended prompts. LLM councils kept only about 22-25% of good ideas that appeared in just one model's answer, while ideas from multiple models survived at roughly the same rate but received an 11% uplift in peer-review settings. The findings suggest that LLM councils risk losing novel ideas through consensus bias similar to human committees, requiring more explicit protocols to preserve valuable unique insights rather than relying on automatic blending or peer review.