Raw LLM — Corpus Dashboard

Look up by comment ID

Random samples — click to inspect

in Honestly if you know all the principles of how to code and you've spent 3 years … 7467114298075… in The idea of AI preserving and documenting the reasoning paths behind discovery i… 7468658490601… in We must always put humans first and government must have human oversight always,… 7464661412951… in Very important perspective. The biggest AI question is probably no longer whethe… 7464968754314… in Matthew Kilkenny Well, it looks well to me as if Universities are being surpasse… 7470263604529… in Pope Leo XIV’s encyclical 'Magnifica Humanitas' is an incredible, historic call … 7466375424466… in Karthikkeyan Vijayan SO integrating AI is the right move. Blocking AI access to … 7466874287006… in “Built right and deployed responsibly”...it remains to be seen how responsibly c… 7464053368362…

Comment

This is the part that matters most for enterprise governance. The issue is not whether a particular lab is well-intentioned. Some clearly are. The issue is that good intentions do not neutralize the incentive structure. If frontier AI labs operate under commercial pressure, capital pressure, geopolitical pressure, and speed-to-market pressure, then enterprise buyers should not treat vendor assurances as a complete governance basis. That does not mean AI should not be adopted. It means adoption has to be authorized against present capability, disclosed limitations, model-change risk, output-shaping controls, and the actual conditions under which reliance is justified. Self-governance is not enough when the market is also selling the reliance. I wrote about this from the adoption-integrity side here: The market is selling the projection. The law has to make them show the machinery.

LinkedIn AI Safety & Risk AI Governance & Structural Risk | Defining when… 2026-05-25T21:1…

Coding Result

Dimension	Value
Primary value	accountability
Secondary value	transparency
Alignment target	organisations
Stance	demanding
Emotion	approval
Value justification	The speaker emphasizes the need for outside scrutiny and governance structures to ensure AI labs operate responsibly, highlighting the importance of accountability.
Target justification	The comment is addressed to enterprise buyers, indicating that the target of the speaker's concern is organisations, specifically those adopting AI technology.
Coded at	2026-06-11T08:09:58Z

Raw LLM Response

```
{
  "value_primary": "accountability",
  "value_secondary": "transparency",
  "target": "organisations",
  "stance": "demanding",
  "emotion": "approval",
  "value_justification": "The speaker emphasizes the need for outside scrutiny and governance structures to ensure AI labs operate responsibly, highlighting the importance of accountability.",
  "target_justification": "The comment is addressed to enterprise buyers, indicating that the target of the speaker's concern is organisations, specifically those adopting AI technology."
}
```

Raw LLM Responses