Raw LLM Responses
Inspect the exact model output for any coded comment.
Look up by comment ID
Random samples — click to inspect
G
And I think what I can do is inovate those which or may changing them with repla…
ytc_UgwjtZxu4…
G
All AI is not the same. ChatGPT is a language program. It is NOT meant to provid…
ytc_UgxeIlBlX…
G
@Amos18289 yet AI trend is started to fade away now, open your eyes to the world…
ytr_Ugw9CNMYP…
G
Glad to hear you're enjoying the comments! Sophia's insights definitely spark so…
ytr_UgxxkiQKr…
G
casue theyk now china is already beting them up.communsim dotn recongise copirig…
ytr_Ugy83LwZd…
G
You should hire an ai to make your videos more real. Any major change in unemplo…
ytc_Ugz7zizqD…
G
Thank you for sharing your thoughts. While the distinction between wisdom and kn…
ytr_Ugx_Lg0QL…
G
the intro question here is such a bad question. it is amazing how much thought w…
ytc_UgwM_8r5N…
Comment
You're missing two important points:
McKinsey's Lilli is Actually Different than a traditional LLM
**1. Context and Data Depth** McKinsey's Lilli is fed by 100,000+ documents, analyses, and methodologies from the firm's 100-year history. This isn't just "general information about the energy sector" - it uses specific client data, McKinsey's proprietary analytical frameworks, and years of developed sector expertise. The critic probably tried a generic prompt and got a generic output. ([https://fortune.com/2025/06/02/mckinsey-ai-consulting-powerpoints-proposal-technology/](https://fortune.com/2025/06/02/mckinsey-ai-consulting-powerpoints-proposal-technology/))
**2. Proprietary Knowledge Architecture** McKinsey's system doesn't just create presentations - it maintains the firm's tone and writing style, finds relevant experts, and most importantly, can securely process client data. This goes far beyond what ChatGPT can do.
reddit
AI Governance
1754855650.0
♥ 1
Coding Result
| Dimension | Value |
|---|---|
| Responsibility | none |
| Reasoning | unclear |
| Policy | none |
| Emotion | indifference |
| Coded at | 2026-04-25T08:33:43.502452 |
Raw LLM Response
[{"id":"rdc_n7zryo6","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"indifference"},{"id":"rdc_n7tda50","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"approval"},{"id":"rdc_n7tn10y","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"approval"},{"id":"rdc_n7tq3sj","responsibility":"user","reasoning":"consequentialist","policy":"none","emotion":"fear"},{"id":"rdc_n7v7cn3","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"outrage"}]