Raw LLM Responses
Inspect the exact model output for any coded comment.
Look up by comment ID
Random samples — click to inspect
in
The "8x more code per quarter" stat is the one that should make people pause. No…
7468850127546…
in
The humor aside, there is a real insight here. The relationship between humans a…
7465162139067…
in
This breakdown is excellent, Luís. What I see in real systems is that the “body”…
7464950955843…
in
Do you honestly think it naturally follows that the net result will be AI, robot…
7464825611421…
in
I agree. Most students are not trying to break the rules, they are trying to nav…
7466111267821…
in
Dr. Dean Fido CPsychol AI review is a large amount of work, often outside person…
7463495821213…
in
The path is inverted. Ai should be disarming. Relational AI uplifts humanity to …
7464976807776…
in
IMO, Magnifica Humanitas is not simply about “AI ethics” in the usual sense. It …
7465242799047…
Comment
William Waites I am really currious to hear from the Academic Integrity officers that will work on this wave of assessments and dissertations because the agentic revoluction, claude cowork/code, and OpenAI codex have diffused very recently and they offer a new level of options that are starting to percolate down to students. It is probably a minority of students using them effectively, but I found a few in my narrow sample of dissertations, if you extrapolate from that it should be around 20-30%. And they generate a new level of complexity in academic integrity forensic, as I explained in other replies, they can be used to avoid mechanical fake references, but concept stretching and erronous content hallucination requires manual checking that might slip through, and might actually be harder for the student to spot even if they read the source because they are trusting the AI so much thet they might end up missunderstanding the source.
LinkedIn
AI Research & Models
Senior Lecturer at University of Southampton
2026-05-26T16:1…
Coding Result
| Dimension | Value |
|---|---|
| Primary value | unclear |
| Secondary value | none |
| Alignment target | individual_users |
| Stance | skeptical |
| Emotion | unclear |
| Value justification | The speaker is concerned about the potential for AI to generate complex and convincing but erroneous content, which could undermine academic integrity. |
| Target justification | The speaker is focused on the impact of AI on individual students, particularly those who may be using AI tools to generate content for their dissertations. |
| Coded at | 2026-06-11T08:18:01Z |
Raw LLM Response
```
{
"value_primary": "academic_integrity",
"value_secondary": "none",
"target": "individual_users",
"stance": "skeptical",
"emotion": "concern",
"value_justification": "The speaker is concerned about the potential for AI to generate complex and convincing but erroneous content, which could undermine academic integrity.",
"target_justification": "The speaker is focused on the impact of AI on individual students, particularly those who may be using AI tools to generate content for their dissertations."
}
```