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牛逼
Replying to @failcatcat
我今天总弥漫着一种感觉,上一次 有这种感觉还是在距离我高考一个 月的时候,当时黑板上写着,还有 30天。 虽然还在写着试卷,但所有人的心 都已经不在了书本和试卷上了,每个人都在急躁的走来走去,每次下课都喧闹的要命,就像是在等待着什么到来。也像什么东西要快结束了一样。
失败猫猫 retweeted
对方是个方方面面都很好的人,唯一不好的是ta不爱你,忽略你,无视你,从来不主动,比较冷漠,你还要跟ta在一起吗?
13%要的
71%算了
16%我不知道
82 votes • Final results.......
Applications are now open for the Anthropic Residency, a paid, fixed-term research program for academics, technical founders, and staff-level engineers who want to make AI safe and beneficial for everyone. No ML background is required.
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大部分男人没得挑
大部分男人都不会挑选伴侣。
当他们真正明白过来的时候,人生可能已经一团糟了。
男人在择偶的时候,关注的往往是一些非常浅层的表现,比如说这个姑娘够不够漂亮,她够不够温柔,恋爱时会不会撒娇,或者说会不会打扮。
甚至纠结于她会不会做饭等等,会不会照顾人啊这些东西,这些都是表面东西。
但凡有一点心机的女生,她都是可以演出来的,可是这些恰恰是一些判断伴侣最不靠谱的标准。
你要是想单独单纯的谈情说爱,或许还能图个开心什么的,但你要是说想要携手过接下来未来十几年几十年的生活,那你一定要往深了看。
挑选老婆的本质不仅仅是在给自己找一个爱人,而是在给你未来的孩子挑选一个母亲,给你的父母选一个儿媳妇,更是给自己的后半辈子找一个搭档。
男人一定要在选老婆这个方面做好充分的选择,就是它决定了一个男人的生活质量。
结婚并不是儿戏,你就想假如说你在外面拼搏打拼的时候,她在背后给你拆台,你父母生病的时候,她就在旁边冷眼旁观,啥也不管,那么你整个家族都是陷入矛盾之中的。
一定要说找一个能过日子的。
怎么能判断她适不适合你?⬇️
失败猫猫 retweeted
We asked GPT-6 Astra to edit Qwen3.5-0.8B weights to improve math.
It directly changed only 0.016% of weights, fixing 0.8B's reasoning loops & improving math up to 6x and even instruction following 3x, without gradients or training.
We call this Weight-Space Programming: frontier LLMs can now natively read/write neural network weights! 🧵
Blog: rikiyat.github.io/blog/weigh…
Readers added context they thought people might want to know
LLM was given weights explicitly as text in prompt and used code/forward passes (per authors' logs) to ablate Qwen looping direction, a known thinking-mode issue per model card. Primarily fixed repetition in that mode, not general 'natively' improving weights/math.
rikiyat.github.io/blog/weight-sp…
github.com/RikiyaT/lm_und…
huggingface.co/Qwen/Qwen3.5-0…
huggingface.co/RikiyaT/Qwen3.…
失败猫猫 retweeted
太逆天了,人看来就是一堆浮点数组成的网络,这他妈还能逐个微调,把这种知识用自然语表述出来,DL可解释性可以半截入土了
We asked GPT-6 Astra to edit Qwen3.5-0.8B weights to improve math.
It directly changed only 0.016% of weights, fixing 0.8B's reasoning loops & improving math up to 6x and even instruction following 3x, without gradients or training.
We call this Weight-Space Programming: frontier LLMs can now natively read/write neural network weights! 🧵
Blog: rikiyat.github.io/blog/weigh…
Readers added context they thought people might want to know
LLM was given weights explicitly as text in prompt and used code/forward passes (per authors' logs) to ablate Qwen looping direction, a known thinking-mode issue per model card. Primarily fixed repetition in that mode, not general 'natively' improving weights/math.
rikiyat.github.io/blog/weight-sp…
github.com/RikiyaT/lm_und…
huggingface.co/Qwen/Qwen3.5-0…
huggingface.co/RikiyaT/Qwen3.…
















