Raw LLM Responses
Inspect the exact model output for any coded comment.
Look up by comment ID
Random samples — click to inspect
G
I see AI as a great place to save time when setting up the core outline of what …
ytr_UgxCX80X9…
G
I feel like if I reply to this post, then AI will just use it against me. So ha …
ytc_UgyoWbedd…
G
AI is something that is not under any committee regulation in the US, Cina, Russ…
ytc_UgyVJ95oq…
G
12 minutes in, I am getting the ending of "Darkstar" vibes. If any of these bits…
ytc_UgyC_xkXC…
G
It's good that the rest of the AI groups are under a microscope. That makes it s…
ytc_Ugzv7rhI0…
G
Not for nothing but all these AI tools get design by humans humans with viruses …
ytc_Ugzt3W35_…
G
Let me put it this way, I wouldn't listen to Slipknot if it were made by ai even…
ytc_Ugw-k-KYd…
G
Its amazing and terrifying how practically indiscernable ChatGPT is now from an …
ytc_UgwByW7U6…
Comment
A very good example is the predictions of cardiac arrhythmias which doesn't even include machine learning. Normal heartbeat contains many time scales. But during caridac arrhythmias, the heartbeat becomes periodic and contains only one time period. Simple measures based on fractal analysis can lead to early predictions when the heartbeat is transitioning from this state containing multiple time scales to a single time scale is enough to predict it.
More complex measures based on machine learning are only going to improve our predictive capabilities. We have known about these capabilities since late 1990s.
From what I have heard from experts in time series analysis is that doctors here in India are too egotistical to believe in these measures and look at the proliferation of computer and machine learning based measures with undeserved scepticism. They are too hung up due on God complex.
reddit
AI Bias
1569422059.0
♥ 2
Coding Result
| Dimension | Value |
|---|---|
| Responsibility | none |
| Reasoning | unclear |
| Policy | unclear |
| Emotion | indifference |
| Coded at | 2026-04-25T08:33:43.502452 |
Raw LLM Response
[{"id":"rdc_f1eh26o","responsibility":"none","reasoning":"unclear","policy":"unclear","emotion":"indifference"},{"id":"rdc_f1ef65d","responsibility":"none","reasoning":"consequentialist","policy":"unclear","emotion":"indifference"},{"id":"rdc_f1ednqf","responsibility":"user","reasoning":"consequentialist","policy":"liability","emotion":"approval"},{"id":"rdc_f1e9frc","responsibility":"none","reasoning":"consequentialist","policy":"unclear","emotion":"mixed"},{"id":"rdc_f1ebf3f","responsibility":"ai_itself","reasoning":"deontological","policy":"unclear","emotion":"fear"}]