ChatGPT User Top 10 Topics Lists

Societal Influences
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Over the last year, I have been interacting with ChatGPT AI engine quite a bit, in order to ascertain its usefulness and trustworthiness. A mix of response quality has been received, but most inaccuracies on the part of Chat GPT have been due to imprecise queries on my part. Recently, in a request for information on Benjamin Miessner (of cat's whisker detector fame), ChatGPT misidentified his wife's name, and got patent numbers wrong. When I provide ChatGPT with the correct data, it acknowledges the error and then usually provides extra information. As mentioned previously, I have requested computer code snippets from ChatGPT, and it has done amazingly well. The key to success is concisely forming your query, including detailed requirements about the output if required.

My latest query prompted ChatGPT for a profile of its typical users on various topics which I specified. Here are the results:

Most users tend to be friendly and respectful during interactions with ChatGPT. They generally ask questions or seek information in a polite and inquisitive manner, especially when looking for knowledge or assistance. The tone is often conversational, with users seeking guidance, explanations, or clarifications. In many cases, users express appreciation for helpful responses. However, there are a small percentage of users who can sometimes be hostile or impatient. This might happen if they feel frustrated with the limitations of the model, are seeking very specific or complex answers, or have encountered issues during their interaction. A minority of users might also engage in impersonal interactions, using formal or transactional language, particularly in professional or technical contexts. It's important to note that ChatGPT doesn't have emotions, so it is designed to remain neutral and professional in all interactions, aiming to assist regardless of the tone of the user. Overall, the vast majority of interactions are polite and inquisitive, with users expressing curiosity or needing help, which reflects the positive and educational nature of most conversations.

AI Competition: ChatGPT-Gemini-Grok 3, GabAI - RF Cafe

This content was generated by primarily with the assistance of ChatGPT (OpenAI), and/or Gemini (Google), and/or Arya (GabAI), and/or Grok (x.AI), and/or DeepSeek artificial intelligence (AI) engines. Review was performed to help detect and correct any inaccuracies; however, you are encouraged to verify the information yourself if it will be used for critical applications. In all cases, multiple solicitations to the AI engine(s) was(were) used to assimilate final content. Images and external hyperlinks have also been added occasionally - especially on extensive treatises. Courts have ruled that AI-generated content is not subject to copyright restrictions, but since I modify them, everything here is protected by RF Cafe copyright. Many of the images are likewise generated and modified. Your use of this data implies an agreement to hold totally harmless Kirt Blattenberger, RF Cafe, and any and all of its assigns. Thank you. Here is Gab AI in an iFrame.

While working on an update to my RF Cafe Espresso Engineering Workbook project to add a couple calculators about FM sidebands (available soon). The good news is that AI provided excellent VBA code to generate a set of Bessel function plots. The bad news is when I asked for a table showing at which modulation indices sidebands 0 (carrier) through 5 vanish, none of the agents got it right. Some were really bad. The AI agents typically explain their reason and method correctly, then go on to produces bad results. Even after pointing out errors, subsequent results are still wrong. I do a lot of AI work and see this often, even with subscribing to professional versions. I ultimately generated the table myself. There is going to be a lot of inaccurate information out there based on unverified AI queries, so beware.