Blue_Wolf(杭漂版)

2.1K posts

Blue_Wolf(杭漂版) banner
Blue_Wolf(杭漂版)

Blue_Wolf(杭漂版)

@Small_Blue_Wolf

Pessimist | Blue | Furry | CS | CV | JLU | WLU | SFW 一只奇怪的蓝色小狼,分享生活和个人见解,不摄政🚫 里:@mini_blue_wolf bluesky:https://t.co/TeCU8TOWDj

China-Zhejiang-Hangzhou Katılım Ağustos 2019
440 Takip Edilen1.8K Takipçiler
Blue_Wolf(杭漂版)
Blue_Wolf(杭漂版)@Small_Blue_Wolf·
@SnowThunde10675 这么说吧,有些套路大家都在做的可以发论文的,但是我觉得重复这些套路没什么意思,于是提了点新的东西()
中文
0
0
0
7
Blue_Wolf(杭漂版)
Blue_Wolf(杭漂版)@Small_Blue_Wolf·
唉,有些难受 人总是不能太看得起自己的对叭 但是我就是不愿意无脑 follow 别人的想法,即使我的想法很幼稚,即使我的想法是错的,但,那是我的想法
中文
3
0
17
436
Blue_Wolf(杭漂版)
Blue_Wolf(杭漂版)@Small_Blue_Wolf·
@olive_trees234 但本质上就是一个基于 nodejs 的前端工具不是吗?又没有明显哪方面性能的断崖领先,感觉不值得大家这么“幸灾乐祸”
中文
1
0
0
99
olive trees
olive trees@olive_trees234·
@Small_Blue_Wolf 还是很大不同,之前只能抄到表面的,现在大家可以从原理代码看cc 怎么设计的
中文
1
0
2
221
Blue_Wolf(杭漂版)
Blue_Wolf(杭漂版)@Small_Blue_Wolf·
恕我愚笨 claude code 源码泄露,又不是 claude 源码泄露,这之前各种 cli 横空出世,已经仿的差不多了吧,为什么这么激动()
中文
1
0
5
740
Blue_Wolf(杭漂版)
Blue_Wolf(杭漂版)@Small_Blue_Wolf·
我可能不记得得过多少奖,受过多少惩罚,不记得成功过多少次,失败过多少次 但是那些年,一起熬过的夜,一起拼过的命,一起咬过的牙,无论事大事小,成功与否,都让人怀念
中文
0
0
12
361
Orange Sashimi
Orange Sashimi@Lupnish·
@Small_Blue_Wolf 还有全流程ai科研快速产出搞得想认真做东西都担心别人直接vibe三天制造一堆slop挤掉你的idea结果最后还是ai review给ai的打高分给你reject掉😭
中文
1
0
1
133
Blue_Wolf(杭漂版)
Blue_Wolf(杭漂版)@Small_Blue_Wolf·
不知道是不是暴论...但是作为一个在 AI 领域做科研的学生, 现在 AI 的发展真的让我非常憎恶 传统的 Coding 能力得不到应有的尊重,大批的人被迫购买 AI 提高生产力,为的却是保住自己的饭碗? 即使不是资本主义,利益却永远是人们考虑的第一要素,这样活着多累啊......
中文
5
0
24
1.5K
Blue_Wolf(杭漂版)
Blue_Wolf(杭漂版)@Small_Blue_Wolf·
@abskoop token 调用量高低其实本身不太能说明什么问题 每个模型 thinking token 用量不一样,完成每个任务平均需要的 token 数也不一样 claude 1 轮对话,5k token 可以完成的任务 可能 kimi 需要 5 轮对话,50M token 才能完成
中文
0
0
0
912
ahhhhfs
ahhhhfs@abskoop·
全球token调用量🤖
ahhhhfs tweet media
日本語
61
9
163
101.9K
Blue_Wolf(杭漂版)
Blue_Wolf(杭漂版)@Small_Blue_Wolf·
kimi 这是把“快速”的智商全都分给“思考”了吗?ffmpeg 都不会了?•ᴗ•💧
Blue_Wolf(杭漂版) tweet media
中文
0
0
5
280
Blue_Wolf(杭漂版)
Blue_Wolf(杭漂版)@Small_Blue_Wolf·
学术本无国界,希望能保持纯粹的交流
NeurIPS Conference@NeurIPSConf

We want to speak directly to the concern many of you have expressed, and we owe you a clear explanation of what happened, why it happened, and where we stand now. We understand this situation caused genuine alarm and we take that seriously. In preparing the NeurIPS 2026 handbook, we included a link to a US government sanctions tool that covers a significantly broader set of restrictions than those NeurIPS is actually required to follow. This error was due to miscommunication between the NeurIPS Foundation and our legal team; there was never an intention to restrict participation beyond our mandatory compliance obligations. The responsibility for that error is ours as an organization, and we deeply apologize for the alarm and impact this miscommunication had on our community. We have updated the link and clarified the text of our policy, which is consistent with that of ACM and IEEE, as well as other international conferences and NeurIPS in the past. As in previous years, NeurIPS welcomes submissions from all compliant institutions and individuals. We want to reiterate that NeurIPS is a community-driven event, created by and for the community, and strives to be inclusive. The NeurIPS 2026 organizing committee was particularly saddened to learn of this institutional miscommunication. The organizing committee has taken on the responsibility of running the conference this year with the goal of fostering open communication, knowledge sharing, and global scientific discourse. We thank the community for bringing this issue to our attention and working with us through this situation.

中文
0
0
3
627
Blue_Wolf(杭漂版) retweetledi
Pangyu 胖鱼 🐠
Pangyu 胖鱼 🐠@pangyusio·
说实话,我还挺喜欢张雪峰的。 他是一个非常典型的中国 80 后阶级跃迁样本。从考研班老师起步,发现自己有表达天赋,参加电视节目,搭上短视频和网红的快车道,精准抓住了千万家长对孩子专业选择的焦虑。一步一步,走到今天身价十几亿。 教科书级别的寒门逆袭。 其次,这个人确实有趣。同一个赛道上那么多人,只有他能拿到这么大的流量,说明他的人格魅力和表达能力确实是稀缺的。 再一点,看他直播间和各种场合的表达,能感受到他是真的在分享自己的认知、经历和感想,而不是在念稿子。这种真诚感,观众是能分辨出来的。 但我最佩服他的,是他做了一件对中国社会影响深远的事:拉平了信息差。 在他之前,"选什么专业"这件事,本质上是一场信息战。 中产家庭的孩子,父母有阅历、有人脉,从小就知道哪些行业有前途、哪些专业是坑。而小城市、农村家庭的孩子,填志愿基本靠蒙,靠亲戚的道听途说,靠招生简章上那几行字。 张雪峰做的事情,就是把中产家庭饭桌上才会聊的那些认知,免费、大规模地传播给了所有人: 要去大城市,要选好行业;新闻学不好找工作;生物专业得读到博士才有出路;电子类专业就业面广;医生长期来看很吃香。 这些判断不一定每一条都精确,但作为一个粗颗粒度的方向指引,对于那些完全没有信息源的家庭来说,价值是巨大的。 他真正的贡献在于:让月薪三千的家庭,也能获得月薪三万的家庭早就知道的东西。 这件事听起来简单,但在中国的教育体系里,从来没有人系统性地做过。学校不教,老师不讲,招生办只管招人不管你毕业后死活。 张雪峰填上了这个空缺,而且是以一种普通人听得懂、愿意听的方式。 光凭这一点,他就值得被尊重。
中文
63
16
240
27.1K
Royce Lyu
Royce Lyu@peimichael·
@KKaWSB 哥们中国是被anthropic屏蔽的啊,有数据才出鬼了。
中文
1
3
394
13.8K
KK.aWSB
KK.aWSB@KKaWSB·
Anthropic公布了一张Claude全球使用密度图,数据很有意思。 用量最高的是以色列4.9倍,其次新加坡4.19倍、美国3.69倍、澳大利亚3.27倍、加拿大3.15倍。欧洲整体偏高,北欧尤其突出。中国几乎没有数据,坦桑尼亚最低只有0.03倍。 一个规律:AI工具的渗透率,和一个国家的英语能力、开发者密度、人均收入高度重合。用得最多的不是人口最多的国家,而是人均技术密度最高的国家。
KK.aWSB tweet media
中文
228
112
657
294.9K
面包🍞
面包🍞@himself65·
可以跑大模型了
面包🍞 tweet media
日本語
87
2
194
47.8K
Blue_Wolf(杭漂版) retweetledi
Yuliang Xiu
Yuliang Xiu@yuliangxiu·
It’s my first time being invited as an Area Chair for NeurIPS, and I’m truly honored. However, I have to decline the role due to its sanctions policy. NeurIPS’ prosperity comes from the joint efforts of researchers worldwide, and its growth and success have long been supported by sponsorships from some of the sanctioned entities too.
Haitham Bou Ammar@hbouammar

What a ridiculous decision from #NeurIPS! Some of the companies affected have sponsored you for years! Blows my mind! #AI #MachineLearning

English
18
45
551
96.2K
Blue_Wolf(杭漂版)
Blue_Wolf(杭漂版)@Small_Blue_Wolf·
好聪明的举动......
Andrej Karpathy@karpathy

Software horror: litellm PyPI supply chain attack. Simple `pip install litellm` was enough to exfiltrate SSH keys, AWS/GCP/Azure creds, Kubernetes configs, git credentials, env vars (all your API keys), shell history, crypto wallets, SSL private keys, CI/CD secrets, database passwords. LiteLLM itself has 97 million downloads per month which is already terrible, but much worse, the contagion spreads to any project that depends on litellm. For example, if you did `pip install dspy` (which depended on litellm>=1.64.0), you'd also be pwnd. Same for any other large project that depended on litellm. Afaict the poisoned version was up for only less than ~1 hour. The attack had a bug which led to its discovery - Callum McMahon was using an MCP plugin inside Cursor that pulled in litellm as a transitive dependency. When litellm 1.82.8 installed, their machine ran out of RAM and crashed. So if the attacker didn't vibe code this attack it could have been undetected for many days or weeks. Supply chain attacks like this are basically the scariest thing imaginable in modern software. Every time you install any depedency you could be pulling in a poisoned package anywhere deep inside its entire depedency tree. This is especially risky with large projects that might have lots and lots of dependencies. The credentials that do get stolen in each attack can then be used to take over more accounts and compromise more packages. Classical software engineering would have you believe that dependencies are good (we're building pyramids from bricks), but imo this has to be re-evaluated, and it's why I've been so growingly averse to them, preferring to use LLMs to "yoink" functionality when it's simple enough and possible.

中文
0
0
0
271