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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。
03
Help I accidentally a wigglegram
190 points, 32 comments on Hacker News today.
190 points · 32 comments1 条关联来源规则解读
04
Did my old job only exist because of fraud?
507 points, 225 comments on Hacker News today.
507 points · 225 comments1 条关联来源规则解读
05
Apertus – Open Foundation Model for Sovereign AI
361 points, 122 comments on Hacker News today.
361 points · 122 comments1 条关联来源规则解读
06
Munich 1991: The Roots of the Current AI Boom
25 points, 4 comments on Hacker News today.
25 points · 4 comments1 条关联来源规则解读
07
There is minimal downside to switching to open models
203 points, 147 comments on Hacker News today.
203 points · 147 comments1 条关联来源规则解读
08
Memory Safe Inline Assembly
96 points, 19 comments on Hacker News today.
96 points · 19 comments1 条关联来源规则解读
09
Good results fine tuning a local LLM like Qwen 3:0.6B to categorize questions
118 points, 26 comments on Hacker News today.
118 points · 26 comments1 条关联来源规则解读