Raw LLM Responses
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in
The deeper issue for me is that there is still a long distance between an LLM an…
7463913377627…
in
Demis Hassabis As a software engineer who dreams of one day joining Google, I fi…
7463370063761…
in
The vending machine framing is the right diagnosis. The failure mode isn't the f…
7465177444812…
in
The industry is moving from AI hype to AI accountability. The real question was …
7465074550016…
in
I agree with you that this deserves slow reading, not instant certainty dressed …
7464997226256…
in
AI in research should feel like an AGI as removing the human from the loop might…
7466859369691…
in
Exciting developments, especially around multimodal reasoning, scientific accele…
7463409372203…
in
Sure, and when I use it to have sophisticated language discussions and to reflec…
7464544677707…
Comment
Most founders frame this as an AI capability discussion. It's actually a system governance layer problem. In my audits of B2B SMBs implementing AI, I consistently find a Growth Ceiling where the deployed AI tool exacerbates existing Operational Waste, costing around $10K-$30K per month in lost efficiency and re-work. The mechanism is simple: AI amplifies existing decision architecture flaws; without clear human governance over data input and output interpretation, the system automates and scales previous human biases or inefficiencies. This creates a Brand Contradiction when the AI-driven output doesn't align with the promised value, leading to customer churn in 8-12% of cases I've tracked. The problem isn't the AI's intelligence; it's the lack of friction-as-design in the human-AI loop. What's scaling isn't intelligence. It’s unexamined structural leakage.
LinkedIn
AI Policy & Regulation
You don’t need expensive. You need the right so…
2026-05-26T10:4…
Coding Result
| Dimension | Value |
|---|---|
| Primary value | accountability |
| Secondary value | fairness |
| Alignment target | organisations |
| Stance | critical |
| Emotion | indifference |
| Value justification | The speaker emphasizes the need for clear human governance over AI systems, highlighting the importance of accountability in preventing the amplification of existing biases and inefficiencies. |
| Target justification | The comment focuses on the implementation of AI in B2B SMBs, indicating that the target of the speaker's concern is organisations, specifically small to medium-sized businesses. |
| Coded at | 2026-06-11T08:14:46Z |
Raw LLM Response
```
{
"value_primary": "accountability",
"value_secondary": "fairness",
"target": "organisations",
"stance": "critical",
"emotion": "indifference",
"value_justification": "The speaker emphasizes the need for clear human governance over AI systems, highlighting the importance of accountability in preventing the amplification of existing biases and inefficiencies.",
"target_justification": "The comment focuses on the implementation of AI in B2B SMBs, indicating that the target of the speaker's concern is organisations, specifically small to medium-sized businesses."
}
```