I used Anthropic's Claude to pick Oscar winners at a party. It made odd mistakes, but still beat everyone else.
Briefly

I used Anthropic's Claude to pick Oscar winners at a party. It made odd mistakes, but still beat everyone else.
"I outsourced my ballot to Anthropic's Claude. It beat around the bush at first, so I asked it to just give me the winners. Claude obliged, delivering confident picks across nearly every category."
"Claude didn't even complete the assignment fully. It failed to pick a winner for Casting, a new Oscar category this year. Maybe the model didn't register the addition?"
"Even so, my Claude-powered ballot still outperformed everyone else's at the party. That feels like a glimpse of the jagged edge of AI: systems that are clearly powerful, occasionally brittle, and still good enough to win."
Outsourcing Oscar ballot predictions to Anthropic's Claude resulted in winning a party pool, despite some inaccuracies. Claude confidently picked winners but missed the new Casting category and included candidates not on the shortlist. Despite these errors, the AI-generated ballot outperformed all others at the event, showcasing the potential and limitations of AI in decision-making. The experience suggests a growing trend of using AI for similar tasks in the future.
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