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只显示 Google Trends、Hacker News 和 GitHub Trending。解读来自乔木 LLM，失败时自动降级为规则解读。
01
Did my old job only exist because of fraud?
364 points, 159 comments on Hacker News today.
364 points · 159 comments1 条关联来源规则解读
02
Apertus – Open Foundation Model for Sovereign AI
284 points, 102 comments on Hacker News today.
284 points · 102 comments1 条关联来源规则解读
03
Help I accidentally a wigglegram
69 points, 8 comments on Hacker News today.
69 points · 8 comments1 条关联来源规则解读
05
Everything is logarithms
166 points, 35 comments on Hacker News today.
166 points · 35 comments1 条关联来源规则解读
06
There is minimal downside to switching to open models
124 points, 70 comments on Hacker News today.
124 points · 70 comments1 条关联来源规则解读
07
Memory Safe Inline Assembly
57 points, 13 comments on Hacker News today.
57 points · 13 comments1 条关联来源规则解读
08
Good results fine tuning a local LLM like Qwen 3:0.6B to categorize questions
68 points, 11 comments on Hacker News today.
68 points · 11 comments1 条关联来源规则解读
09
1983 Northern Telecom Commodore Phone
37 points, 10 comments on Hacker News today.
37 points · 10 comments1 条关联来源规则解读
10
Efficient C++ Programming for Modern C++ CPUs, Chapter 4/part 2
21 points, 3 comments on Hacker News today.
21 points · 3 comments1 条关联来源规则解读