Raw LLM Responses

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G Honestly, the "next big thing" framing is part of the problem. The internet's fu… rdc_ohfn3zt G Again, it;s not one thing or another. Many things are true at once. The impact o… ytr_UgzPxCe0S… G Honestly, kudos to your video for being so well edited and your points so well e… ytc_UgyZ4kaVH… G Think about it.. EVERY large company has replaced labor with machines over time.… ytr_Ugh2a2kWS… G Personally i dont agree dont throw more arenas to regulate for governments, gove… ytc_UgxjzczCR… G Your not an artist and do not claim yourself as an artist if you use AI and prof… ytc_UgyH0sZsD… G that's what i always say, ai art is good and mostly better than most artists tha… ytr_Ugw4T1Ae9… G I created a full working website. Backend, frontend and database using Antigravi… ytc_Ugw7eV51K…
Comment
here are the secret words: "Improve up on that" and that is your second prompting. For first you must do these steps: Best Practices for Effective LLM Prompting Successful prompting of large language models requires precision, clarity, and a strategic approach. Every query should be directed toward a clear goal, eliminating ambiguity and unnecessary information. Providing contextual details ensures that the model understands the purpose of the response, while structuring the prompt in a logical format leads to optimal results. Assigning a specific role to the model enables content generation from the desired perspective, whether it involves technical analysis, a summary, or creative interpretation. An iterative approach is essential for refining responses—adjusting the prompt based on previous results leads to more precise and useful information. In environments where the model supports memory, referencing previous responses ensures consistency and continuity in content generation. Experimenting with prompt formulations is not optional but essential—only through adaptation and testing can maximum efficiency in LLM utilization be achieved.
youtube AI Moral Status 2025-03-31T17:0…
Coding Result
DimensionValue
Responsibilitynone
Reasoningunclear
Policyunclear
Emotionindifference
Coded at2026-04-27T06:26:44.938723
Raw LLM Response
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