Raw LLM Responses
Inspect the exact model output for any coded comment.
Look up by comment ID
Random samples — click to inspect
G
The second one must be AI-generated because it is completely unrealistic; no one…
ytc_UgwWgG414…
G
Two Words; One Name; A Warning: Michael Hastings.
Resist autonomously control…
ytc_UggqYh0iC…
G
I think deep seek probably assumed that the 9.9 is 9.90 and we humans are lazy t…
ytc_UgyK5GIK4…
G
Somebody is trying hard to program them ai to make it happen in a bad way…
ytc_Ugwy_hhUl…
G
This is foul. Don't put the burden on people; AI-generated content should includ…
ytc_Ugz1ySaAl…
G
If only this was real. To hell with military contracts, what they NEED to be doi…
ytc_UgxD_Q680…
G
These self driving cars scare me. Parts, especially car parts malfunction and br…
ytc_UgysUzC99…
G
just use Undetectable AI to humanize your text from chatgpt.Undetectable AI enha…
ytc_UgynOMZKB…
Comment
Typically, gamma is viewed as part of the problem, not of the algorithm. A reinforcement learning algorithm tries for each state to optimise the cumulative discounted reward:
r1 + gamma*r2 + gamma^2*r3 + gamma^3*r4 ...
where rn is the reward received at time step n from the current state. So, for one choice of gamma the algorithm may optimise one thing, and for another choice it will optimise something else.
However, when you have defined a certain high-level goal, there still often remains a modelling choice, as many different gamma's might satisfy the requirements of the goal.
In general, most algorithms learn faster when they don't have to look too far into the future. So, it sometimes helps the performance to set gamma relatively low. A general rule of thumb might be: determine the lowest gamma min_gamma that still satisfies your high-level goal, and then set the gamma to gamma = (min_gamma + 1)/2.
Hope that solves your query.
youtube
AI Governance
2020-10-20T11:4…
Coding Result
| Dimension | Value |
|---|---|
| Responsibility | none |
| Reasoning | unclear |
| Policy | none |
| Emotion | indifference |
| Coded at | 2026-04-27T06:26:44.938723 |
Raw LLM Response
[
{"id":"ytr_Ugy6Z95H4v2LC9IASRV4AaABAg.9EYLk423JyI9Ep75vu312f","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"indifference"},
{"id":"ytr_UgyJMpeIHjcqnIf6Y8h4AaABAg.9E8GhxSDC279F1boaf47QE","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"indifference"},
{"id":"ytr_UgwPbs2bnV77PjCfhVd4AaABAg.9CTXRS-k8hy9CoQzbBKFcV","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"indifference"},
{"id":"ytr_UgxG7kzon6DLRVupZgp4AaABAg.9BZRM0p718N9C5HvQ4GT3d","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"indifference"},
{"id":"ytr_UgzHllJRZoEZOWi2lpF4AaABAg.9Ai2NdWCd4w9C5HgCvJBZE","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"indifference"},
{"id":"ytr_UgzgODDBLXrwJ2fZ0hx4AaABAg.99-PLRlb7X59C5IFdJOXTm","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"indifference"},
{"id":"ytr_Ugx6Kj_6y2_xnNW2dK94AaABAg.97TxpHm0YzE97hYkPCE3mm","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"indifference"},
{"id":"ytr_UgxEmLvHkBgAbOV_D7l4AaABAg.90THB0z1tbM92U4VgjA9ds","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"approval"},
{"id":"ytr_UgxnIjAVfQcdYHp72694AaABAg.9-nQirXxply93-nOhZOEa2","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"indifference"},
{"id":"ytr_UgzymuNIIrFmE0ki5D54AaABAg.8zbUzxAfKXO8zwbXpqvP3W","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"indifference"}
]