Raw LLM Responses
Inspect the exact model output for any coded comment.
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Random samples — click to inspect
G
Ai has no need for money so no need to be corrupt unlike todays politions…
ytc_UgzDKD83U…
G
When I got into depth of it's inner workings, it gave me this answer:
"As an AI…
ytc_Ugz4EmRqA…
G
The dedication of talented hand drawn/ sketched artist deserve the respect they …
ytc_UgxAAGJTl…
G
AI is sexist and racist because it is a classifier. It would be those things wit…
ytc_UgzXoTfUe…
G
Artist do pretty much the same as a.i generators, they train on their images, le…
ytc_UgyJmtYRY…
G
Art is a creation by one's self, typing a prompt into a generator isn't your own…
ytr_UgyiNYyc_…
G
As I listen here, I am starting to understand a truism about AI. Ai understands…
ytc_UgxqeZPWC…
G
Se questo a breve potrebbe essere verità indelebile, sarebbe come una enorme bom…
ytc_UgwbV34Li…
Comment
@ttensohn If you paste code with vulnerability without noticing, you would likely produce it yourself to begin with. It's not an AI problem, it's about programmers literacy about security (just like general programming and design when copy-pasting). And of (intellectual) laziness and commucation / teamwork, or process. 1: it's ok not to know, but find time to increase your knowledge. 2. obvious vulnerable code should be spotted by your teammates / lead / security team, either by doing pair programming, or during some code review. 3. There should be automated vulnerabilities detection tooling: in your CI/CD or running regularly anyway, and appropriate reporting to detect those vulnerabilities. I had to setup Snyk, it does a pretty decent job at it, it integrates in CICD pipeline, there are IDE extensions for VSCode and JetBrains products. There are tons of other options available, open source or proprietary. So once again, AI is definitely not a problem. And any decent team or organization should be able to detect and fix quickly the vast majority of vulns
youtube
2024-02-28T20:2…
Coding Result
| Dimension | Value |
|---|---|
| Responsibility | user |
| Reasoning | deontological |
| Policy | none |
| Emotion | approval |
| Coded at | 2026-04-27T06:26:44.938723 |
Raw LLM Response
[
{"id":"ytr_Ugxccl5VG_6K_qEQKh54AaABAg.9vjzzEVGQoO9vkdpstMdV-","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"indifference"},
{"id":"ytr_UgzzRrV5pq16ru25-xN4AaABAg.9vjzyEsvTBo9vk5wuxhNvI","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"mixed"},
{"id":"ytr_UgxApQpkuMMsF75nVPx4AaABAg.ALkjz7uEqLoAM_XWNNa8R4","responsibility":"user","reasoning":"deontological","policy":"none","emotion":"approval"},
{"id":"ytr_UgwwK8ueXS3THttWzih4AaABAg.AE9Q9gG6DbPAED8xce-7g4","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"resignation"},
{"id":"ytr_UgxQdPkvHYTsi1zrPrZ4AaABAg.9yalUZ6o9N7A0NNMu5Rqmp","responsibility":"ai_itself","reasoning":"consequentialist","policy":"liability","emotion":"fear"},
{"id":"ytr_UgxQdPkvHYTsi1zrPrZ4AaABAg.9yalUZ6o9N7A0NOFvpQK6T","responsibility":"user","reasoning":"deontological","policy":"none","emotion":"approval"},
{"id":"ytr_UgxDaKu-XQwFFJfK6M54AaABAg.9xg2L-n_eCFAOCAT5Z75kL","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"indifference"},
{"id":"ytr_UgzCWWvUXRxvf4_Q3Ix4AaABAg.9xLxTZLeL2K9xkilMsnF7x","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"resignation"},
{"id":"ytr_UgwcQlbe4huR5mUk17Z4AaABAg.9ubksmHYyrw9xluZ0HCPbd","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"outrage"},
{"id":"ytr_UgwcQlbe4huR5mUk17Z4AaABAg.9ubksmHYyrwAHg1AcPPPah","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"mixed"}
]