Raw LLM Responses
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in
Everything will move this direction. Local models running for regulated industri…
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in
Demis, thank you for the inspiring update — the progress with Gemini models, Omn…
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in
What strikes me most is not only the speed of AI progress, but the cognitive shi…
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in
What’s emerging here is less about search evolution and more about a shift in wh…
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in
Demis Hassabis Regarding the safety of agentic systems and the deployment of Cod…
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Abu Dhabi’s move toward autonomous AI agents signals a structural shift in how g…
7464625632828…
in
Maybe fire those ungrateful AI agents and replace them with human scab labor... …
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For field robots, AI is not only about better conversation or coding. It is abou…
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Comment
Incredible milestones at I/O, Demis. The speed of Gemini 3.5 Flash and Omni opens immense possibilities. However, scaling frontier models on flat rates creates an unsustainable compute drain. To protect CapEx ROI, we must shift from text approximation to guaranteed data fidelity via a "Pay-per-Logic" Hybrid Framework: Track A (Free): Statistical answers for low-stakes curiosity. Track B (Premium): High-compute multi-agent reasoning using live, verified third-party APIs. Users pay a dynamic micro-fee (e.g., $1.50 for localized real estate audits) for 100% accuracy. Professionals gladly pay per query for trustworthy data they can financially back up. This turns AI from a cost center into a transactional revenue engine. Love to share the full brief with your team!
LinkedIn
AI Safety & Risk
Assistant Manager at AllNet Systems Ltd
2026-05-22T08:5…
Coding Result
| Dimension | Value |
|---|---|
| Primary value | sustainability |
| Secondary value | economic_equity |
| Alignment target | organisations |
| Stance | demanding |
| Emotion | approval |
| Value justification | The speaker wants AI to be aligned with sustainability by reducing the compute drain and shifting to a more efficient framework. |
| Target justification | The target of the speaker's suggestion is organisations, as they discuss protecting CapEx ROI and turning AI into a revenue engine. |
| Coded at | 2026-06-11T07:58:26Z |
Raw LLM Response
```
{
"value_primary": "sustainability",
"value_secondary": "economic_equity",
"target": "organisations",
"stance": "demanding",
"emotion": "approval",
"value_justification": "The speaker wants AI to be aligned with sustainability by reducing the compute drain and shifting to a more efficient framework.",
"target_justification": "The target of the speaker's suggestion is organisations, as they discuss protecting CapEx ROI and turning AI into a revenue engine."
}
```