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my database is missing a social script for this. #actuallyautistic #audhd #creatorsearchinsights #newaccountontiktok
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They told you, “We all came off a ship.” 🛶 So I opened the SlaveVoyages database and actually read the records. What I found wasn’t what I expected. This isn’t about proving a narrative. It’s about reading the source, understanding the filters, and asking better questions. If I’m wrong, show me the primary source or the methodology. I’ll read it. Research first. Repeat later. #history #genealogy #slavery
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They told you, “We all came off a ship.” 🛶 So I opened the SlaveVoyages database and actually read the records. What I found wasn’t what I expected. This isn’t about proving a narrative. It’s about reading the source, understanding the filters, and asking better questions. If I’m wrong, show me the primary source or the methodology. I’ll read it. Research first. Repeat later. #history #genealogy #slavery
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How do AI agents get long-term memory or access to your documents? A vector database. The short version: you convert your data into embeddings, which are numerical representations of meaning, store them, then give the agent a search tool so it pulls only the relevant information for whatever you're asking. This pattern is called RAG, retrieval augmented generation, and it's how agents answer questions about documents and remember long-term facts even when the context window is full of the curren
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È ampiamente documentato che a causa delle numerose violazioni di dati aziendali, dei leak di database e dell'azione di malware infostealer, una grande quantità di informazioni personali, credenziali e dati sensibili finisce regolarmente per circolare nei mercati clandestini del dark web. Quando i dati di un individuo vengono compromessi online, truffatori e malintenzionati possono raccogliere e aggregare elementi che includono email, password, numeri di telefono, documenti e altre informazioni
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