Raw LLM Responses
Inspect the exact model output for any coded comment.
Look up by comment ID
Random samples — click to inspect
in
The line about ensuring the safety of agentic systems is the part that matters m…
7465801898974…
in
Pascal BORNET The real inflection point is governance of incentives. AI is alrea…
7464949450113…
in
My original post got enormous interest 100s of likes and more than 40 reposts an…
7465172011137…
in
I think Internet Computer Protocol will play a role. This is the whois info on t…
7464693869444…
in
Luís, I’ve seen this "human anatomy" analogy all over LinkedIn lately. It’s a cl…
7466919871172…
in
All the comments below seem to support Bernie's point - AI being controlled by a…
7465345727121…
in
Stop asking Ai to make decisions for you. It's a fine tool, not a therapist. Not…
7463583203912…
in
Clara Hawking This really resonates. In an always on age of AI, there’s a pressu…
7465054572651…
Comment
What strikes me is that we still talk about AI as if capability were the main variable, but it is not. The growing leverage point is the architecture of decision making around those capabilities. Systems don’t become fairer or wiser just because they become smarter. Without structural guardrails, acceleration only amplifies whatever logic is already in place. The question is not what AI can do, but what design assumptions we are silently scaling.
LinkedIn
AI Policy & Regulation
Architecting clarity and decision systems | Glo…
2026-05-27T05:4…
Coding Result
| Dimension | Value |
|---|---|
| Primary value | fairness |
| Secondary value | none |
| Alignment target | society |
| Stance | critical |
| Emotion | indifference |
| Value justification | The speaker emphasizes the importance of fairness by stating that systems don't become fairer just because they become smarter, highlighting the need for structural guardrails to ensure fair outcomes. |
| Target justification | The speaker's focus on the architecture of decision making and the scaling of design assumptions implies a concern for the broader societal impact of AI, rather than just individual or organizational interests. |
| Coded at | 2026-06-11T08:21:06Z |
Raw LLM Response
```json
{
"value_primary": "fairness",
"value_secondary": "none",
"target": "society",
"stance": "critical",
"emotion": "indifference",
"value_justification": "The speaker emphasizes the importance of fairness by stating that systems don't become fairer just because they become smarter, highlighting the need for structural guardrails to ensure fair outcomes.",
"target_justification": "The speaker's focus on the architecture of decision making and the scaling of design assumptions implies a concern for the broader societal impact of AI, rather than just individual or organizational interests."
}
```