Raw LLM Responses
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in
Revise your curriculum, every university must inlcude AI courses like its a mand…
7466840001104…
in
For entry level positions AI isxa big threat because their tasks are typically t…
7466051763377…
in
AI is always 1 step ahead... may not be in the right direction though…
7467698973168…
in
Pascal BORNET Your emphasis on 'who decides and benefits' is a powerful point. T…
7464912080656…
in
Thanks Qi Han Wong, very interesting!This maps very directly to legal AI too. La…
7466916404416…
in
AI may expand what researchers can discover, but perhaps its greatest impact wil…
7467151376683…
in
I hope they found a reliable Ai that doesn’t hallucinate at all. Sounds like a m…
7464637181991…
in
Matthew Kilkenny, you have great ideas for sure. I admit Pope Leo XIV has been i…
7465792704849…
Comment
Shipping 8x more code is just faster interpolation, not true recursive self-improvement. Current models excel at pattern matching but lack the zero-to-one reasoning needed to invent new architectures. The "infinite loop" myth ignores the fact that models training on their own synthetic data face inevitable model collapse. AI agents operate strictly within human-defined loss functions and cannot engineer their way past physical hardware limits. Framing scaling milestones as an existential threat is a great way to build a regulatory moat, but it ignores technical reality.
LinkedIn
AI Safety & Risk
Lead System Architect | Co-Founder @ manki.ai |…
2026-06-05T19:3…
Coding Result
| Dimension | Value |
|---|---|
| Primary value | safety |
| Secondary value | none |
| Alignment target | society |
| Stance | skeptical |
| Emotion | outrage |
| Value justification | The speaker wants AI development to prioritize safety by acknowledging the technical limitations and avoiding exaggerated claims about recursive self-improvement. |
| Target justification | The target of the speaker's concern is society, as they warn against the potential consequences of misframing AI development as an existential threat. |
| Coded at | 2026-06-11T08:39:15Z |
Raw LLM Response
```
{
"value_primary": "safety",
"value_secondary": "none",
"target": "society",
"stance": "skeptical",
"emotion": "outrage",
"value_justification": "The speaker wants AI development to prioritize safety by acknowledging the technical limitations and avoiding exaggerated claims about recursive self-improvement.",
"target_justification": "The target of the speaker's concern is society, as they warn against the potential consequences of misframing AI development as an existential threat."
}
```