Raw LLM Responses
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in
Pascal BORNET - getting awfully close to the Matrix concept of human batteries, …
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in
Strong point on agents.Thank you, Demis. My conviction is that the next governan…
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Powerful progress — especially around agents, world understanding, CodeMender, a…
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in
Very important perspective. The biggest AI question is probably no longer whethe…
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in
“The issue is not capability. It’s who benefits.” That’s the real AI conversatio…
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in
AI doesn't take away your job; it takes away the "things that aren't worth doing…
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Congratulations Demis! We’re working on a new AI cognition model that represents…
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This "powerfull free tier" is just one prompt and wait 5-7days. How I know? Few …
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Comment
Wish Bakshi That’s the challenge with AI products right now, expectations are incredibly high because the demos look futuristic, but developers judge based on day-to-day workflow quality. Throttle limits, model access, consistency, and reasoning quality matter far more than flashy benchmarks once you’re actually building production systems. Google still has enormous potential here, but the gap between capability demos and developer experience is something they’ll need to close quickly.
LinkedIn
AI Research & Models
AI Automation Strategist & Venture Partner at Z…
2026-05-24T14:3…
Coding Result
| Dimension | Value |
|---|---|
| Primary value | accountability |
| Secondary value | none |
| Alignment target | unclear |
| Stance | critical |
| Emotion | indifference |
| Value justification | The speaker emphasizes the importance of day-to-day workflow quality, throttle limits, model access, consistency, and reasoning quality, which implies a desire for accountability in AI systems. |
| Target justification | The speaker is addressing the needs and expectations of developers, indicating that the target of AI alignment is developers. |
| Coded at | 2026-06-11T08:04:27Z |
Raw LLM Response
```
{
"value_primary": "accountability",
"value_secondary": "none",
"target": "developers",
"stance": "critical",
"emotion": "indifference",
"value_justification": "The speaker emphasizes the importance of day-to-day workflow quality, throttle limits, model access, consistency, and reasoning quality, which implies a desire for accountability in AI systems.",
"target_justification": "The speaker is addressing the needs and expectations of developers, indicating that the target of AI alignment is developers."
}
```