Raw LLM Responses
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Bhawani Singh After understanding this, I can say with confidence that something…
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Most organizations are still experimenting with AI assistants. The UAE appears t…
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Rand Strauss There is no alignment problem for LLM tech, so long as it makes mon…
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I converged on the community of Ai governance from a theory I formulated and I d…
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This gets me thinking in lot of other examples of hidden inference Name in promp…
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Strong point on agents.Thank you, Demis. My conviction is that the next governan…
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Relying too much on AI gonna backfire job seekers only, yea once you get the job…
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Biggest mistake I see people make... they test Claude with fake work. Use it on …
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Comment
Tao is right that AI lowers the cognitive friction of exploring crazier paths. The harder question is what happens to the paths themselves. In research the value often sits in the discarded branches: why a direction was abandoned, what assumption broke, who decided to stop. When AI compresses that exploration, the reasoning trail compresses with it. You keep the result and lose the archaeology. This matters far beyond math. In any setting where a discovery has to be defended, reproduced, or audited later, "the model found it" is not an account of how. The preserved path is the artifact, not a nice-to-have. So the freedom Tao describes is real. The open problem is making the trail behind a discovery a first-class output, not a byproduct we hope to reconstruct afterwards.
LinkedIn
AI Research & Models
CEO • Autor 3 książek • Badacz psychologii w er…
2026-05-29T20:2…
Coding Result
| Dimension | Value |
|---|---|
| Primary value | transparency |
| Secondary value | accountability |
| Alignment target | society |
| Stance | demanding |
| Emotion | mixed |
| Value justification | The speaker emphasizes the importance of preserving the paths behind discovery and making the trail behind a discovery a first-class output, which relates to the value of transparency. |
| Target justification | The speaker mentions that this issue matters far beyond math and in any setting where a discovery has to be defended, reproduced, or audited later, indicating that the target is society as a whole. |
| Coded at | 2026-06-11T08:30:54Z |
Raw LLM Response
```
{
"value_primary": "transparency",
"value_secondary": "accountability",
"target": "society",
"stance": "demanding",
"emotion": "mixed",
"value_justification": "The speaker emphasizes the importance of preserving the paths behind discovery and making the trail behind a discovery a first-class output, which relates to the value of transparency.",
"target_justification": "The speaker mentions that this issue matters far beyond math and in any setting where a discovery has to be defended, reproduced, or audited later, indicating that the target is society as a whole."
}
```