Raw LLM Responses
Inspect the exact model output for any coded comment.
Look up by comment ID
Random samples — click to inspect
in
Oomkar S. This has been a common sentiment from many early users. The vision was…
7464322636878…
in
Anthropic, who uses AI to train CAI ( methodology) by using AI to score the rein…
7468720376626…
in
Pablo COSTA, C. M. I agree with his view, the richest 1% of the world have more …
7467496877521…
in
Christian Dobbert ☑️ Christian Dobbert Agreed. Today’s models are probabilistic …
7468782199555…
in
I believe they are just creating hypes for getting funding from the investors. E…
7469051676491…
in
This is exactly the point: recursive self-improvement is not only a technical qu…
7468703210942…
in
That headline is doing work the study never asked for. The MIT “Your Brain on Ch…
7464304238295…
in
Thnx for sharing your thoughts on this since that in itself moves the broader di…
7465176302447…
Comment
I’ve sat in alignment meetings where an engineering team flagged a subtle vector bias in a model pipeline, only to be told by product marketing that delaying the rollout would cost us our quarterly enterprise contracts. That is the exact corporate bias Chris Olah is warning us about in the Reuters brief. You cannot let the entities chasing a multi-trillion-dollar commercial window be the sole auditors of their own systemic risk. When a tech giant's primary fiduciary duty is to Wall Street, "AI Safety" will always be downgraded from an architectural constraint to a public relations line-item. If we don’t fund and institutionalize independent, external cryptographic and behavioral validation outside the Silicon Valley monopoly, we aren't building a safe ecosystem. We are just renting a black box from companies that are incentivized to hide the telemetry logs when things go sideways.
LinkedIn
AI Safety & Risk
Hybrid Cloud Director · AI Infrastructure │ GPU…
2026-05-26T01:4…
Coding Result
| Dimension | Value |
|---|---|
| Primary value | safety |
| Secondary value | accountability |
| Alignment target | society |
| Stance | critical |
| Emotion | outrage |
| Value justification | The speaker emphasizes the need for independent validation and auditing to ensure AI safety, implying that current corporate practices prioritize profits over safety. |
| Target justification | The speaker's concern for safety and accountability is directed towards the broader societal impact of AI development, rather than just individual users or organizations. |
| Coded at | 2026-06-11T08:11:28Z |
Raw LLM Response
```
{
"value_primary": "safety",
"value_secondary": "accountability",
"target": "society",
"stance": "critical",
"emotion": "outrage",
"value_justification": "The speaker emphasizes the need for independent validation and auditing to ensure AI safety, implying that current corporate practices prioritize profits over safety.",
"target_justification": "The speaker's concern for safety and accountability is directed towards the broader societal impact of AI development, rather than just individual users or organizations."
}
```