Raw LLM Responses
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in
The most important AI question was never just capability.It was always governanc…
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Evan Hunter Evan the nuclear analogy lands hard because it's exact. We didn't le…
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I have developed a set of prompts that assist students with the workflow of a re…
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Very relevant. The easiest thing to copy today: UI + feature layer. The hardest …
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in
The issue isn’t what AI can do. The issue is that governance keeps reacting inst…
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in
One big question that stopped me while learning AI/LLMs: Till now, I understood …
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srsly...the Emperor's church as the moral high ground 🤣 ...the image implies the…
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Spatial equity remains a critical concern in urban planning today. Algorithmic t…
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Comment
Companies mentioned in connection with reduced, limited, or reassessed AI spending in 2025–2026: 1. Uber: reportedly reviewed AI spending after using up its annual AI budget much faster than expected in 2026. 2. Microsoft: limited or scaled back access to some internal AI tools as token and usage costs rose. 3. Amazon: tightened controls around AI usage and token consumption, and signaled that AI should not be used for its own sake. 4. Meta: was mentioned among companies paying closer attention to AI-related spending and internal usage. 5. Salesforce: was also cited among companies moving toward tighter controls or rationing of AI usage due to rising costs. 6. Klarna: partially reversed its aggressive AI-driven customer support strategy and brought more human workers back. The issue was mainly service quality, not cost alone. 7. Duolingo: softened its strict “AI-first” position after public criticism. This was more of a strategic adjustment than a direct budget cut. Reuters reported, citing Gartner, that more than 40% of agentic AI projects may be cancelled by the end of 2027. The trend was already visible in 2025–2026, with rising costs, unclear business value, and immature technology among the main reasons.
LinkedIn
AI Safety & Risk
Executive Career Consultant for Top Managers & …
2026-05-29T22:5…
Coding Result
| Dimension | Value |
|---|---|
| Primary value | accountability |
| Secondary value | none |
| Alignment target | organisations |
| Stance | critical |
| Emotion | indifference |
| Value justification | The comment implies that companies need to be responsible and accountable for their AI spending and usage, as evidenced by the examples of companies reassessing and limiting their AI investments. |
| Target justification | The comment specifically mentions companies such as Uber, Microsoft, and Amazon, indicating that the target of the value alignment is organisations. |
| Coded at | 2026-06-11T08:31:06Z |
Raw LLM Response
```
{
"value_primary": "accountability",
"value_secondary": "none",
"target": "organisations",
"stance": "critical",
"emotion": "indifference",
"value_justification": "The comment implies that companies need to be responsible and accountable for their AI spending and usage, as evidenced by the examples of companies reassessing and limiting their AI investments.",
"target_justification": "The comment specifically mentions companies such as Uber, Microsoft, and Amazon, indicating that the target of the value alignment is organisations."
}
```