#The

开发者生态 None

Infomaniak 过渡到基础模型以保护用户数据隐私

Since 1994, Infomaniak has followed the same path: privacy, environmental responsibility, and local roots。Thirty-two yea

the and company

2026-05-20 darktoto

开发者生态 None

日本深受大规模过敏症困扰。罪魁祸首是一个 20 世纪 50 年代的项目

Japan is gripped by mass allergies。

the and Japan

2026-05-20 ranit

开发者生态 None

前苹果工程师称苹果故意通过更新降低旧手机的速度

【HN用户评论摘要】 Isn't this the same old myth that we heard about a few years ago, regarding the battery decay and throttling

the and this

2026-05-20 neya

开发者生态 None

C 中的一切都是未定义的行为

If he had been a programmer, Cardinal Richelieu would have said “Give me six lines written by the hand of the most exper

the that and

2026-05-20 lycopodiopsida

开发者生态 None

通过 API 在三个真实的 ML 和编码工作流程上测试 MiniMax M2.7

Testing MiniMax M2。7 via API on three real ML and coding workflows I recently got access to some MiniMax M2。

the MiniMax and

2026-05-20 Artgor

开发者生态 None

印度最热地区上午 10 点关闭，气温突破 48 摄氏度

India’s hottest district shuts at 10 am as mercury breaches 48 degrees Celsius mark The sustained readings have placed B

the Banda and

2026-05-20 rustoo

安全攻防 None

Grafana GitHub 漏洞通过 TanStack npm 攻击暴露源代码

Grafana Labs, on May 19, 2026, said an investigation into its recent breach found no evidence of customer production sys

the Grafana Labs

2026-05-20 info@thehackernews.com (The Hacker News)

开发者生态 None

评估将会中断

We're good at evaluating the models we have。We're much worse at evaluating the models we're about to build — especially

the that capability

2026-05-20 rajveerb

科技头条 None

Stearns 和 Foster 促销代码：5 月折扣 300 美元

Discover the best Stearns and Foster promo codes, discounts, and deals to elevate your sleep experience with premium com

and Discover the

2026-05-20 Molly Higgins

游戏 None

索尼 WH-1000XX 十周年典藏版头戴降噪耳机发售：首发价 4399 元

IT之家 5 月 20 日消息，索尼今日正式发布 1000X 十周年典藏版头戴降噪耳机 1000X THE COLLEXION。此外，索尼还宣布为 WH-1000XM6 降噪耳机新增砂岩色版本。

降噪耳机 THE COLLEXION

2026-05-20 IT之家

安全攻防 None

GitHub 正在调查 TeamPCP 声称约 4,000 个内部存储库遭到破坏

GitHub on Tuesday said it's investigating unauthorized access to its internal repositories after the notorious threat ac

internal GitHub repositories

2026-05-20 info@thehackernews.com (The Hacker News)

开发者生态 None

HTML-in-Canvas 演示

Awesome HTML-in-Canvas This is a collection of resources to help developers build with HTML-in-Canvas。Check out the HTML

the HTML demos

2026-05-20 simonpure

汽车 None

梅赛德斯的电动 AMG GT 4 门轿跑车可在 2 秒内从 0 加速到 60 英里

The era of ultra-high performance Mercedes EVs is here。

the The Mercedes

2026-05-20 Andrew J. Hawkins

汽车 None

外媒上手特朗普 T1 手机：不再标榜“美国制造”，预估基于 HTC U24 Pro 改造

IT之家 5 月 20 日消息，NBC News 昨日（5 月 19 日）发布博文， 分享上手了特朗普移动（Trump Mobile）的 T1 智能手机。图源：Trump Mobile 定位方面，T1 手机不再标榜“美国制造”（Made i

Trump Mobile 图源

2026-05-20 IT之家

智能AI None

基于平坦度的理论最优量化

18800v1 Announce Type: new Abstract: Post-training quantization has emerged as a widely adopted technique for compressin

the quantization and

2026-05-20 Xiusheng Huang, Zhe Li, Xuanwu Yin, Lu Wang, Yequan Wang, Dong Li, Emad Barsoum, Kang Liu

智能AI None

通过全环路变压器简单地稳定环路

18797v1 Announce Type: new Abstract: Scaling model performance typically requires increasing model size。

Looped Transformer the

2026-05-20 Rao Fu, Zixuan Yang, Jiankun Zhang, Jing Ma, Hechang Chen, Yu Li, Yi Chang

智能AI None

HELLoRA：专家混合模型的热门专家层级低阶适应

18795v1 Announce Type: new Abstract: Low-Rank Adaptation (LoRA) dominates parameter-efficient fine-tuning of large langu

and HELLoRA the

2026-05-20 Jia Wei, Zhonghao Zhang, Ping Chen, Qianyang li, Yancheng Pan, Shaoxun Wang, Ziyi Qiu, Longxiang Wang

智能AI None

用于变压器模型压缩的鲁棒基础样条解耦

18794v1 Announce Type: new Abstract: Decoupling is a powerful modeling paradigm for representing multivariate functions

and the decoupling

2026-05-20 Joppe De Jonghe, Van Tien Pham, Mariya Ishteva

智能AI None

维度平衡提高大规模时空预测性能

18793v1 Announce Type: new Abstract: Accurate spatiotemporal pattern analysis is critical in fields such as urban traffi

and temporal spatiotemporal

2026-05-20 Jing Chen, Shixiang Pan, Yujie Fan, Haocheng Ye, Haitao Xu, Wenqiang Xu

智能AI None

干扰感知多任务忘却

19042v1 Announce Type: new Abstract: Machine unlearning aims to remove the contribution of designated training data from

task unlearning and

2026-05-20 Ying-Hua Huang, Rui Fang, Hsi-Wen Chen, Ming-Syan Chen