Raw LLM Responses
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in
The real question behind AI is exactly right, who benefits and who sets the dire…
7465690499882…
in
"I used to worry AI would take our jobs. Now I worry it will make us do cardio f…
7463949895175…
in
Ruben Hassid Artificial intelligence becomes substantially more impactful when i…
7464753238693…
in
Irresponsible and should be immediately stopped by governments. This is dangerou…
7463326673460…
in
With new technology there will be good and not so good outcomes. Take for exampl…
7465439981969…
in
I think we're witnessing a shift from AI as a tool to AI as a workforce. Whether…
7468706547171…
in
Very important perspective. The conversation around AI is increasingly shifting …
7465379190364…
in
Strong framing. From a founder’s POV, the AI question is not just capability, it…
7465264256712…
Comment
Good breakdown. One pushback on layer 1: calling the LLM a “brain”makes it sound like it reasons. It predicts tokens. That distinction isn’t pedantic. It changes how you design the other three layers. If the first layer thinks, you trust its output and bolt tools onto it. If the first layer only pattern-matches, you build guardrails around it: grounding, verification, business-logic checkpoints. Different mental model, different architecture, different risk profile. The metaphor isn’t just wrong. It’s expensive.
LinkedIn
Workplace & Jobs
Director of Enterprise Architecture, Data & Ana…
2026-05-25T16:2…
Coding Result
| Dimension | Value |
|---|---|
| Primary value | safety |
| Secondary value | none |
| Alignment target | organisations |
| Stance | critical |
| Emotion | mixed |
| Value justification | The speaker emphasizes the importance of recognizing the limitations of the LLM, specifically that it only predicts tokens, to design the other layers with appropriate guardrails and risk management. |
| Target justification | The speaker appears to be addressing organisations or developers, as they discuss the implications of the LLM's capabilities on the design and architecture of the system. |
| Coded at | 2026-06-11T08:08:58Z |
Raw LLM Response
```json
{
"value_primary": "safety",
"value_secondary": "none",
"target": "organisations",
"stance": "critical",
"emotion": "mixed",
"value_justification": "The speaker emphasizes the importance of recognizing the limitations of the LLM, specifically that it only predicts tokens, to design the other layers with appropriate guardrails and risk management.",
"target_justification": "The speaker appears to be addressing organisations or developers, as they discuss the implications of the LLM's capabilities on the design and architecture of the system."
}
```