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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
180 points, 31 comments on Hacker News today.
180 points · 31 comments1 条关联来源规则解读
04
Did my old job only exist because of fraud?
500 points, 225 comments on Hacker News today.
500 points · 225 comments1 条关联来源规则解读
05
Apertus – Open Foundation Model for Sovereign AI
359 points, 121 comments on Hacker News today.
359 points · 121 comments1 条关联来源规则解读
06
Munich 1991: The Roots of the Current AI Boom
23 points, 4 comments on Hacker News today.
23 points · 4 comments1 条关联来源规则解读
07
There is minimal downside to switching to open models
202 points, 144 comments on Hacker News today.
202 points · 144 comments1 条关联来源规则解读
08
Memory Safe Inline Assembly
93 points, 18 comments on Hacker News today.
93 points · 18 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
117 points, 25 comments on Hacker News today.
117 points · 25 comments1 条关联来源规则解读