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10 Things that are not really* a concern for AI in 2026:
1 Hallucination
2 Training on your data
3 Bias in models
4 Dependence on proprietary models
5 Running out of pre-training data
6 Jail breaking
7 Model collapse
8 Sycophancy
9 Knowledge cut off dates
10 Models trained "on the Internet"
*Not that they don't exist or may never cause problems but because they are not a systemic concern worth worrying about.
1 Hallucination
2 Training on your data
3 Bias in models
4 Dependence on proprietary models
5 Running out of pre-training data
6 Jail breaking
7 Model collapse
8 Sycophancy
9 Knowledge cut off dates
10 Models trained "on the Internet"
*Not that they don't exist or may never cause problems but because they are not a systemic concern worth worrying about.
