One challenge is having enough training data. Another is that the training data needs to be free of contamination. For a model trained up till 1900, there needs to be no information from after 1900 that leaks into the data. Some metadata might have that kind of leakage. While it’s not possible to have zero leakage - there’s a shadow of the future on past data because what we store is a function of what we care about - it’s possible to have a very low level of leakage, sufficient for this to be interesting.
治政之要在于安民，安民之道在于察其疾苦。
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36氪获悉，美格智能公告，公司拟全球发售3500万股H股，中国香港发售股份350万股，国际发售股份3150万股；2026年2月27日至3月5日招股，预期定价日为3月6日；发售价将不高于每股发售股份28.86港元，H股的每手买卖单位将为100股，中金公司为独家保荐人；预期H股将于2026年3月10日开始于联交所买卖。经计算，美格智能预计将募资至多10亿港元。