2025/01/29

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2025-01-29 06:52:40 +0100Inst_(~Inst_@2601:6c1:786:fb0:f1f1:b264:d1dc:e467) (Ping timeout: 240 seconds)
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2025-01-29 06:43:06 +0100Inst_(~Inst_@2601:6c1:786:fb0:f1f1:b264:d1dc:e467)
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2025-01-29 06:22:46 +0100 <Inst_> In the Haskell case, I think it's because there's so much variation in style
2025-01-29 06:22:16 +0100Inst_(~Inst_@2601:6c1:786:fb0:f1f1:b264:d1dc:e467)
2025-01-29 06:18:54 +0100michalz(~michalz@185.246.207.222)
2025-01-29 06:15:26 +0100pavonia(~user@user/siracusa) (Quit: Bye!)
2025-01-29 06:14:10 +0100Inst_(~Inst_@2601:6c1:786:fb0:f1f1:b264:d1dc:e467) (Ping timeout: 240 seconds)
2025-01-29 06:09:30 +0100 <monochrom> I am not surprised that Haskell is harder to learn, but this is just due to having fewer examples to learn from. Even humans complain that there are not enough learning resources, so nevermind machines. This is just networking effect again (pun intended!).
2025-01-29 06:06:48 +0100m5zs7k(aquares@web10.mydevil.net) m5zs7k
2025-01-29 06:03:25 +0100 <Inst_> It does seem harder, however, to get the architecture right, especially for a language like Haskell when the software architecture can be rather subjective
2025-01-29 06:00:41 +0100 <Inst_> monochrom: the practitioners on WeChat, I forget if they're doing Haskell, have already swapped to LLM / reinforcement learning AI for smaller coding tasks, with developer validation to guarantee coherency
2025-01-29 06:00:20 +0100forell(~forell@user/forell) forell
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2025-01-29 05:58:54 +0100AvengingFemme(~avengingf@syn-074-076-186-205.res.spectrum.com) (Quit: My Mac has gone to sleep. ZZZzzz…)
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