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in This is exactly what we're building at G-Connect. The shift from "writing code" … 7464358082370… in The real AI race is shifting from performance leadership to infrastructure indep… 7463513643134… in 🚨 Silent UI Fragmentation: The legacy, single-tap TTS "Speaker" integration was … 7466118625612… in @Pascal, the cardio-as-fuel framing is brilliant because it exposes how reductiv… 7464108254391… in For the last few years, the entire AI industry operated on a simple rule: if you… 7468721438821… in Atheism only says God is absent from the material world. It does not mean humans… 7465116421539… in The giveaway is the phrase “overworked AI.” You cannot overwork an AI in the hum… 7463950133739… in Recursive self-improvement is one of the most fascinating and important concepts… 7468898922594…

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."
}
```

Raw LLM Responses