Raw LLM Responses
Inspect the exact model output for any coded comment.
Look up by comment ID
Random samples — click to inspect
in
One of the biggest shifts happening in AI right now is the movement from: learni…
7463705738050…
in
With new technology there will be good and not so good outcomes. Take for exampl…
7465439981969…
in
Zachary H. honestly, SO's toxicity problem was a slow self-inflicted wound. AI d…
7466906491225…
in
Pascal BORNET The most important AI decisions today are about governance, owners…
7465014469379…
in
“NVIDIA has already lost China” sounds punchy, but it collapses under the first …
7463621866650…
in
GitHub is no longer just a “code repository website” GitHub today is far beyond …
7459658045506…
in
HsuanHua Chang 張絢華, MBA, MSCS, PCC That is a fair point. It feels like they are …
7464018811197…
in
Sabrina N. I don't think there is any one solution. I don't think bans and the u…
7465618166144…
Comment
"What Terence Tao is describing isn't AI doing the mathematics; it's AI handling enough of the surrounding work that the researcher can stay in the problem longer. That distinction matters. Augmentation at that level looks very different from automation, and it's probably where AI creates the most durable value: not replacing the expert, but extending how long they can operate at full capacity."
LinkedIn
AI Research & Models
2026-06-02T03:2…
Coding Result
| Dimension | Value |
|---|---|
| Primary value | human_autonomy |
| Secondary value | beneficence |
| Alignment target | individual_users |
| Stance | optimistic |
| Emotion | approval |
| Value justification | The speaker emphasizes the importance of AI augmenting human capabilities, rather than replacing them, which aligns with the value of human autonomy. |
| Target justification | The target of AI alignment is the individual user, specifically the researcher, who benefits from AI handling surrounding work and allowing them to focus on the problem at hand. |
| Coded at | 2026-06-11T08:36:18Z |
Raw LLM Response
```
{
"value_primary": "human_autonomy",
"value_secondary": "beneficence",
"target": "individual_users",
"stance": "optimistic",
"emotion": "approval",
"value_justification": "The speaker emphasizes the importance of AI augmenting human capabilities, rather than replacing them, which aligns with the value of human autonomy.",
"target_justification": "The target of AI alignment is the individual user, specifically the researcher, who benefits from AI handling surrounding work and allowing them to focus on the problem at hand."
}
```