Current AI models are bad about saying "I don't know" or "this is an edge case and I don't know how to solve this problem right now". They're getting more stubborn about this, if anything. They need an "I've done all I can do" heuristic. Very easy to run around in circles.
Anyone else notice that with reasoning, there's a higher level of hallucination, even when the model searches and find relevant content?
It's like a lot of extra complexity with much wider variation in outcomes.
Burning token budgets (in terms of model's ability to pay attention, cost, performance) on small tasks sucks. Why reasoning should just be able to be off for a laaaarge portion of workloads OpenAI
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