Raw LLM Responses
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in
Matthew Kilkenny...point3 stopped me immediately. "Human limitations are not def…
7465774034060…
in
Alexey Volkov 🇺🇦 cuts deeper. Narrow AI as assisting tools CAN have ROI. General…
7465093278334…
in
Matthew Kilkenny Well, it looks well to me as if Universities are being surpasse…
7470263604529…
in
Pascal BORNET The real inflection point is governance of incentives. AI is alrea…
7464949450113…
in
The interesting question isn't whether recursive self-improvement happens overni…
7468689206324…
in
The real concern isn't just what AI can do, it's how the power dynamics shift. I…
7465760590267…
in
The deeper challenge may be that concepts such as dignity, truth, justice, and p…
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Strong perspective. A lot of AI discussions still focus primarily on capability,…
7464960982323…
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."
}
```