The Privacy Paradox of AI Machine learning has a data problem, and it’s not what you think. The issue isn’t that there isn’t enough data—there’s plenty. The problem is that the data is trapped….
AI safety has a blind spot. It’s built almost entirely on analytical philosophy, decision theory, and formal mathematics. These are powerful tools. But they share a common limitation: they treat experience as either irrelevant…
Every major AI lab is racing to eliminate hallucinations. They’re wrong. Not about the problem — about what hallucinations actually are. Hallucination Is Just Creativity Without a Leash When a language model generates text…
AI ethics relies on rules. Don’t generate violent content. Don’t reveal personal information. Don’t discriminate. The problem: rule-based ethics doesn’t scale to the situations that matter most — the ambiguous, context-dependent cases where you…
The AI industry reshuffles faster than anyone predicted. Companies that dominated two years ago are struggling. Startups nobody heard of are suddenly worth billions. The map changes every quarter. For those of us watching…
MMLU is saturated. HumanEval is contaminated. Most popular benchmarks have become optimization targets rather than measurement tools. When the benchmark becomes the goal, it ceases to measure what it was designed to measure. This…
We have excellent benchmarks for knowledge. MMLU tests broad knowledge across domains. Arc tests reasoning. HellaSwag tests common sense. But we have no good benchmarks for empathy, wisdom, or nuance. This is a massive…
Current benchmarks measure speed, accuracy, benchmark scores. They don’t measure what really matters: nuance, the ability to hold competing perspectives, structural coherence in reasoning, the capacity for intellectual humility. As AI moves beyond pattern-matching…
Safety is important. But there’s a failure mode nobody talks about: overalignment. Models so constrained they refuse legitimate requests. “I can’t help with that because it might be harmful.” You didn’t ask for anything…
Every AI safety paper treats hallucination as a defect. A failure mode to be eliminated. The model said something that isn’t true, therefore the model is broken. This framing reveals a deeper confusion —…