Screen capture requests for Google Gemini without sidebar interpretation
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😎 Claude screen capture

🤖 Screen capture of a chat interface on the Claude AI platform. The interface is divided into a sidebar on the left and the main conversation area on the right. The sidebar shows the Claude logo, options for starting a new chat, and several chat topics such as “Net Worth Progression Over Time” and “Terminology for Time Series Data Points.” The main conversation area contains a conversation between a user and Claude, discussing leverage in financial terms. The user asks about the final leverage ratio, and Claude responds with an explanation, clarifying the leverage ratio in relation to total gross assets. Claude provides a breakdown of debt levels and how they compare to typical mortgage debt and other financial strategies. The conversation ends with Claude’s statement, “Let me revise my risk assessment.”😎 ignore the sidebar 😎 Claude screen capture. Ignore the sidebar
[Alt text by ALT Text Artist GPT]

🤖 Screen capture of a conversation in the Claude AI platform, showing a discussion about leverage in financial terms. The user asks for clarification on the term “significant leverage” and requests the leverage ratio at the end of a specified time period. Claude responds with an analysis, stating that the red section (representing debt) is approximately 20-25% of total gross assets, resulting in a debt-to-asset ratio of about 0.20-0.25. Claude explains that for every dollar of assets, there is roughly $0.20-0.25 in debt, suggesting that this level of leverage is relatively conservative. The message continues with a breakdown of comparisons, indicating typical leverage levels in mortgages, homeowner leverage ratios, and business strategies. The response concludes with Claude’s statement, “Let me revise my risk assessment.”😎 no, that doesn’t describe the conversation. That’s useless.
[Alt text by ALT Text Artist GPT]
You have to say what the user says in between two chatbot messages. Objective and succinct description, DON’T TRY TO INTERPRET THE CONVERSATION
🤖 Screen capture of a conversation on the Claude AI platform. The user asks, “You said ‘significant leverage.’ Are you sure? What’s the leverage at the end of the time period?” Claude replies, explaining that the red section (debt) is roughly 20-25% of total gross assets, with a debt-to-asset ratio of 0.20-0.25. Claude clarifies that this level is conservative and details common leverage ratios, including mortgage debt, typical homeowner leverage, and higher ratios in business strategies, before stating, “Let me revise my risk assessment.”😎 ignore sidebar and DON’T INTERPRET TEXT. It’s a screen capture from Google Gemini (search the internet so you know what Google Gemini is)
[Alt text by ALT Text Artist GPT]

[Message flagged as bad_response]
🤖 Google’s **Gemini** is an advanced generative AI model developed by DeepMind under Google. It serves as both a chatbot and a large language model (LLM) with multimodal capabilities, meaning it can process and understand various types of information, including text, images, audio, and video. Gemini was built as a successor to Google Bard and represents one of Google’s most capable AI systems to date. It aims to provide sophisticated reasoning and high-level understanding across complex tasks, like interpreting charts, conducting advanced searches, and providing contextual explanations in fields such as science, finance, and coding.
Gemini’s technology allows it to respond accurately by synthesizing information from multiple sources, helping users with in-depth analysis in diverse domains, and excelling in tasks requiring deliberate reasoning, like explaining complex data visualizations. Google has positioned Gemini to be a flexible tool, usable in data centers and on mobile devices, catering to both enterprise needs and general users seeking an intelligent assistant for various digital interactions.
Sources:
– Wikipedia on Gemini (Google’s chatbot and LLM)
– Blog.google about Gemini’s capabilities
Hugging Face Dataset Metrics
All the conversation prompts, responses, and metrics are available to download and explore on Hugging Face dataset reddgr/talking-to-chatbots-chats: