Raw LLM Responses
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in
I think everyone is missing the picture and really over complicating things. In …
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Pascal BORNET Your emphasis on 'who decides and benefits' is a powerful point. T…
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Good breakdown. One pushback on layer 1: calling the LLM a “brain”makes it sound…
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ATTENTION: @Demis Hassabis & the Google DeepMind Safety Architecture Team Consid…
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The standardization value of MCP connecting disparate systems cannot be overstat…
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Reading posts like this genuinely feels like watching the future arrive in real …
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Joop Remmé Humanity has good, evil, and all of the grey in between. Remove one, …
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Marcelo Mezquia they are afraid of AI that they cannot control, and that is wher…
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Comment
Alvin Foo do you ever work at the Silicon layer? When you write your software? Semi- conductor chips/memory have inbuilt error checking & correction code in silicon, so as to enable you to orchestrate software work (writing applications) without any errors, whilst operating at a much higher level, even if you know nothing about VLSI chips or RAM. You cannot orchestrate with AI unless you can trap errors and unless you are good software engineer, unlike that, you may be oblivious to semiconductors in your laptop, you will need to be a good software engineer to use AI, before you start making claims of it building and running a very sophisticated solution, autonomously to your English prompts. Add the cost of the AI (it's not free) and the quality engineer you still need, it may not be a lowering in costs. Ofcourse, you do not need large teams and large servers (as you once needed) but that trend predates the AI hype. It is a secular trend. Use AI in code development, sure, but temper the claims please though.
LinkedIn
AI Research & Models
Interim Management, Board Advisor | Digital Sol…
2026-05-25T05:3…
Coding Result
| Dimension | Value |
|---|---|
| Primary value | accountability |
| Secondary value | none |
| Alignment target | individual_users |
| Stance | skeptical |
| Emotion | mixed |
| Value justification | The speaker emphasizes the need for error checking and correction, as well as the importance of being a good software engineer, to ensure accountability in AI development. |
| Target justification | The speaker is addressing Alvin Foo and cautioning him about making claims regarding AI, indicating that the target is individual users, specifically developers. |
| Coded at | 2026-06-11T08:05:34Z |
Raw LLM Response
```
{
"value_primary": "accountability",
"value_secondary": "none",
"target": "individual_users",
"stance": "skeptical",
"emotion": "mixed",
"value_justification": "The speaker emphasizes the need for error checking and correction, as well as the importance of being a good software engineer, to ensure accountability in AI development.",
"target_justification": "The speaker is addressing Alvin Foo and cautioning him about making claims regarding AI, indicating that the target is individual users, specifically developers."
}
```