Raw LLM Responses
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in
Honestly, the part that stood out to me wasn’t how much energy a single AI query…
7468632676229…
in
The adoption of SynthID by OpenAI and others is a quietly significant announceme…
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AI impacts work, but human compliance expertise is crucial. Navigating TTB and s…
7464166813048…
in
Recognizing an Organizational Data Steward is a sign of organizational maturity.…
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in
The deeper challenge may be that concepts such as dignity, truth, justice, and p…
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in
Safety of agentic systems starts with visibility. Most deployment failures don’t…
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in
GitHub is no longer just a “code repository website” GitHub today is far beyond …
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Pablo COSTA, C. M. I agree with his view, the richest 1% of the world have more …
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Comment
Well AI is replacing humans for the context in it requires best architectural practices around security and cost optimization (token consumption) that relates directly to how its been used alot of components added up when narrowing this down. Its not like you gave the access to your engineers and tell them to use now as one task can be done by multiple prompts with different token consumptions that fairly changes the cost number alot. This requires training and architectural guidance on how you design internal AI systems. One thing to consider is when cost comes into picture then ethics won’t play much of a role..
LinkedIn
Workplace & Jobs
Forward Deployed Architect | Cloud Architect | …
2026-05-29T18:5…
Coding Result
| Dimension | Value |
|---|---|
| Primary value | accountability |
| Secondary value | none |
| Alignment target | organisations |
| Stance | critical |
| Emotion | indifference |
| Value justification | The speaker emphasizes the need for best architectural practices and training to optimize AI system design, implying that organisations are accountable for the responsible use of AI. |
| Target justification | The comment is addressed to organisations, such as Microsoft, Uber, and NVIDIA, highlighting their role in managing AI costs and ethics. |
| Coded at | 2026-06-11T08:30:46Z |
Raw LLM Response
```json
{
"value_primary": "accountability",
"value_secondary": "none",
"target": "organisations",
"stance": "critical",
"emotion": "indifference",
"value_justification": "The speaker emphasizes the need for best architectural practices and training to optimize AI system design, implying that organisations are accountable for the responsible use of AI.",
"target_justification": "The comment is addressed to organisations, such as Microsoft, Uber, and NVIDIA, highlighting their role in managing AI costs and ethics."
}
```