Raw LLM Responses
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I work in self driving r&d (not tesla). but i know for a fact that tesla's radar…
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This is some of the worst technology journalism that I have ever seen.
Why aren’…
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damn, my essay-long comment got deleted when autoplay engaged and skipped to the…
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Everyone wants the easy way out. AI wont benefit anyone but the people creating …
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you have to utilize AI at the extreme and be self empowered, at least for now in…
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Welcome to the new era of utter deception!! The image of the beast is made to ta…
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i feel like companies need to remember to not let their ai set foot in twitter o…
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the lighting and texture in this generation are next level it is amazing to see …
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Comment
@cwchadwynnThese days to be honest all work is coding work
I do fpga work in fiberoptic data processing. Fpgas are programmable digital electronics. They sit somewhere between firmware and hardware
But to be honest every cad environment, solid works, altium, cadence, they can all be scripted. Through things like tcl. And hell simulink is used to model mechanical, chemical, and electrical systems. The truth is every desk job is done on a computer now, 85 percent of my job is. And none of them are safe
They're looking at LLMs as components in domain specific AGI. If you want to make AGI you have to think of an LLM like a transistor
Build out a framework of transistors coordinating together and you get a cpu. Build out a framework of LLMs coordinating together and you get what? No one knows
What they do know is these frameworks only need to be built for 2 objectives. A node optimizer and an architectural optimizer
One does LLM research to optimize the capabilities of the nodes
And the other does framework optimization to optimize the architecture
Both feed back into themselves, optimizing their nodes and framework until they achieve superintelligent node design and framework design
Next thing you know the framework designer builds frameworks for other domains outside AI research
youtube
AI Governance
2025-11-27T02:4…
Coding Result
| Dimension | Value |
|---|---|
| Responsibility | none |
| Reasoning | unclear |
| Policy | unclear |
| Emotion | indifference |
| Coded at | 2026-04-27T06:24:59.937377 |
Raw LLM Response
[
{"id":"ytr_Ugx0HmtYfuy5si1fF9d4AaABAg.AQ-dAuvBcDOAQ-iog1KxkT","responsibility":"none","reasoning":"unclear","policy":"unclear","emotion":"indifference"},
{"id":"ytr_Ugz4o98zTlWOyCBx69Z4AaABAg.AQ-d7o1zJAAAQ0IyCb8m8a","responsibility":"none","reasoning":"unclear","policy":"unclear","emotion":"indifference"},
{"id":"ytr_UgyX4a_imDiWU8WQH5N4AaABAg.AQ-cmxLgPBOAQ0-vjRlOv4","responsibility":"ai_itself","reasoning":"consequentialist","policy":"unclear","emotion":"indifference"},
{"id":"ytr_UgyX4a_imDiWU8WQH5N4AaABAg.AQ-cmxLgPBOAQ006ByKOCb","responsibility":"ai_itself","reasoning":"consequentialist","policy":"unclear","emotion":"indifference"},
{"id":"ytr_UgyX4a_imDiWU8WQH5N4AaABAg.AQ-cmxLgPBOAQ04TNpdMeN","responsibility":"developer","reasoning":"virtue","policy":"unclear","emotion":"outrage"},
{"id":"ytr_UgxbIR9XUWO_pba32FJ4AaABAg.AQ-cfv4hFKjAQ0DwaGN6nt","responsibility":"none","reasoning":"unclear","policy":"unclear","emotion":"mixed"},
{"id":"ytr_Ugwals-yypYYD8CWHv14AaABAg.AQ-bom4ejsUAQ-cgEBQ1U_","responsibility":"none","reasoning":"unclear","policy":"unclear","emotion":"resignation"},
{"id":"ytr_UgwStF4M_0ZBoNwrnzV4AaABAg.AQ-b_SbLSvxAQ-d6AFjXbe","responsibility":"none","reasoning":"unclear","policy":"unclear","emotion":"indifference"},
{"id":"ytr_Ugw79fdiJJTJWGmg0Bx4AaABAg.AQ-aShAPbRkAQ-vo0nag7k","responsibility":"none","reasoning":"unclear","policy":"unclear","emotion":"outrage"},
{"id":"ytr_Ugw79fdiJJTJWGmg0Bx4AaABAg.AQ-aShAPbRkAQ094bAfzZQ","responsibility":"none","reasoning":"unclear","policy":"unclear","emotion":"indifference"}
]