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Why LLMs Within Software Development May Be a Dead End
How should software development respond to how LLMs operate? We need truly explainable Artificial Intelligence with testable components.
Using LLMs to perform specific Software Development Lifecycle Activities (SDLAs) has problems, but the way we make something is usually distinct from what we sell to customers. Security and privacy end up being concerns because there is no steel thread or provable way to stop an LLM differentiating which bits of itself should be hidden. Firms that endeavor to control their carbon footprint are moving in the opposite direction from LLM creators, who need a mind-boggling amount of computing power to produce ever-diminishing improvements.
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