Event JSON
{
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"pubkey": "7e71518e6f347f5dea5e8b7796057ca67d0c26dc7a3a71677590037a71605089",
"created_at": 1700881038,
"kind": 1,
"tags": [
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[
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"content": "nostr:npub12k4e3k26jlx502cagnfvtzk568clyjltu6gnfjc9pjwk5sumstts6n6gj5 nostr:npub1lrvmc88ck63qpt734w85t5pnxchncvam0p9k9mueuezqz0grkn6s8jtth9 I think LLMs are much more useful at reading and interpreting text to assign a metric than they are at generating useful text as output.\n\nThis is the secret sauce at Twitter now. He's using AI to generate values metrics on submitted tweets and automating the boosting or suppression based on what ideas he wants to proliferate.\n\nSo, not very useful at text generation. But very useful at text evaluation for some algorithmic outcome.",
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