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AI-Generated Content is the New Floor - SparkToro - 0 views

  • Creating things other humans who use ChatGPT prompts can’t (or won’t) create is the only path forward. In my experience, the three biggest advantages human creators have over AIs (for now) are: Emotion – ChatGPT can’t be vulnerable. It isn’t scared. It feels no empathy, nor can it convey true regret. It isn’t humble or prideful, distraught or loving. When you prompt it to communicate using these emotions (e.g. “Say that again, but more empathetically?”), the results feel inauthentic. Spicy autocomplete almost never elicits the emotional weight that good, human writers can. Novelty – If an idea, a bit of data, a data source, an amalgamation of information, or an event didn’t exist before 2021, ChatGPT isn’t going to produce content about it. Technically, it can create new works, but these will always be derivative. If you ask ChatGPT what to write about to please an audience of X, it can only tell you what they might have cared about in the past. Creative Insight – After reading the output of a LLM AI, you will almost never hear someone exclaim “Oh my god… that’s a great point!” or “Whoa… I’ve never thought of it that way.” Nor will you see the AIs get artistic or inspirationally motive with their replies. “Oooo… I just thought of a great way to visualize that,” or “I bet we could make a really cool video game based on that premise,” aren’t responses the machines can compete with (yet).
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Google April 2023 Reviews Update : What We See So Far - 0 views

  • Google April 2023 Reviews Update - What We're Seeing...
  • not seeing massive widespread impacts like you would see from a core update.
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E-E-A-T: Making experience and expertise your content advantage - 0 views

  • “The other thing I want to say is that content does not have to be long form. Gone are the days of creating 5,000 words on this topic to beat your competitor. Needs met doesn’t need 5,000 words. Short-form content works. Short-form answers are good and help the user to find their answer quickly.”
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What Is Retrieval-Augmented Generation aka RAG | NVIDIA Blogs - 0 views

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    "description of a RAG process"
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Neo4j Finds the Vector for Graph-LLM Integration - 0 views

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    "Neo4j Finds the Vector for Graph-LLM Integration"
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Welcome to the Search Engine Land SearchBot - 0 views

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    6/4/24 - Rob tried the LLM--merely generic, not specific analysis for a website.
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