“I think you’re testing me”: Claude 3 LLM called out creators while they tested its limits
Anthropic’s new LLM told prompters it knew they were testing it
Can an AI language model become self-aware enough to realize when it’s being evaluated? A fascinating anecdote from Anthropic’s internal testing of their flagship Claude 3 Opus model (released today) suggests this may be possible — and if true, the implications would be wild.
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The needle in the haystack
According to reports from Anthropic researcher Alex Albert, one of the key evaluation techniques they use is called “Needle in a Haystack.” It’s a contrived scenario designed to push the limits of a language model’s contextual reasoning abilities.
Here’s how it works:
Researchers take a completely random, out-of-context statement (the “needle”) and bury it deep within a massive collection of unrelated documents (the “haystack”). The AI model is then tasked with retrieving that specific “needle” statement from within all…