Raw LLM Responses

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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
DimensionValue
Responsibilitynone
Reasoningunclear
Policyunclear
Emotionindifference
Coded at2026-04-27T06:24:59.937377
Raw LLM Response
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