WaterRun
Joined 11 months ago
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13
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Member since
Dec 8
Joined 11 months ago
Large models do not require that kind of exactness. They are somewhat like a "field" or a "probability cloud": as long as the main directional tendency is correct, a few individual deviations—or even a whole cluster of them—make almost no difference.
Also, honestly, given the speed constraints of large models, it makes almost no difference what language an agent is written in. The small performance differences between programming languages do not even begin to matter compared with network latency, let alone the speed at which a large model streams tokens.
In addition, the development of LLMs has greatly lowered the barrier to using the Linux command line. Problems that used to take a full day to solve can now be handled easily by anyone who can write a prompt—just ask, copy, and paste. This has even made Windows’ command line unfriendly by comparison, despite its own major improvements in recent years, turning it into a significant drawback.