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The document abruptly ends on Africa. Basically they want BRI on roughly Chinese terms. China is failing to the extent that they're unwilling to contribute to nation-building, but I see no interest to do that here either.
We'll see.
It's been an eerie read. Unusually direct. Huh.

The document abruptly ends on Africa. Basically they want BRI on roughly Chinese terms. China is failing to the extent that they're unwilling to contribute to nation-building, but I see no interest to do that here either. We'll see. It's been an eerie read. Unusually direct. Huh.

We're in a race. It's not USA vs China but humans and AGIs vs ape power centralization. @deepseek_ai stan #1, 2023–Deep Time «C’est la guerre.» ®1

avatar for Teortaxes▶️ (DeepSeek 推特🐋铁粉 2023 – ∞)
Teortaxes▶️ (DeepSeek 推特🐋铁粉 2023 – ∞)
Fri Dec 05 07:46:21
Splannequin: Freezing Monocular Mannequin-Challenge Footage with Dual-Detection Splatting

TL;DR: How to freeze a dynamic molecular scene when people inevitably move.

Contributions:
• A Novel Problem Formulation and Benchmark: We are the first to formally address synthesizing high-fidelity, freeze-time videos from monocular MC footage, providing a new benchmark and evaluation protocol.

• A Targeted Regularization Framework: We propose a novel method to identify and regularize hidden and defective Gaussians, the primary sources of temporal artifacts, anchoring them to reliable past or future states.

• State-of-the-art Performance with Zero Inference Overhead: We improve visual quality and stability in existing methods without architectural changes. As the deformation runs only once for a target instant, we achieve inference speeds exceeding 280 FPS on an RTX 4090.

Splannequin: Freezing Monocular Mannequin-Challenge Footage with Dual-Detection Splatting TL;DR: How to freeze a dynamic molecular scene when people inevitably move. Contributions: • A Novel Problem Formulation and Benchmark: We are the first to formally address synthesizing high-fidelity, freeze-time videos from monocular MC footage, providing a new benchmark and evaluation protocol. • A Targeted Regularization Framework: We propose a novel method to identify and regularize hidden and defective Gaussians, the primary sources of temporal artifacts, anchoring them to reliable past or future states. • State-of-the-art Performance with Zero Inference Overhead: We improve visual quality and stability in existing methods without architectural changes. As the deformation runs only once for a target instant, we achieve inference speeds exceeding 280 FPS on an RTX 4090.

Paper: https://t.co/iDJkH7DPxV Project: https://t.co/giV42V060f

avatar for MrNeRF
MrNeRF
Fri Dec 05 07:45:05
Israel will also have to learn to deal with its own neuroses independently. It's strong enough now. This party, too, is over. The US wants the Middle East that brings rather than siphons money, and with oil becoming irrelevant, that means these guys will have to build stuff.

Israel will also have to learn to deal with its own neuroses independently. It's strong enough now. This party, too, is over. The US wants the Middle East that brings rather than siphons money, and with oil becoming irrelevant, that means these guys will have to build stuff.

The document abruptly ends on Africa. Basically they want BRI on roughly Chinese terms. China is failing to the extent that they're unwilling to contribute to nation-building, but I see no interest to do that here either. We'll see. It's been an eerie read. Unusually direct. Huh.

avatar for Teortaxes▶️ (DeepSeek 推特🐋铁粉 2023 – ∞)
Teortaxes▶️ (DeepSeek 推特🐋铁粉 2023 – ∞)
Fri Dec 05 07:44:19
One pet peeve I've had for a long time:

The E in "Evan" is pronounced like the E in "Everything". It's not "Even".

Sorry for ruining all your "Evan You can do it" puns.

One pet peeve I've had for a long time: The E in "Evan" is pronounced like the E in "Everything". It's not "Even". Sorry for ruining all your "Evan You can do it" puns.

Husband / Father of two / Founder @voidzerodev / Creator @vuejs & @vite_js. Chinese-only alt: @yuxiyou

avatar for Evan You
Evan You
Fri Dec 05 07:34:11
想要抓取网页内容喂给 AI 或者做稍后读应用,最大的阻碍往往不是网络请求,而是如何从满屏的广告、侧边栏和导航里,精准提取出正文。

最近发现 article-extractor 这个开源库,专门用来解决这个问题,能从复杂的 URL 中智能识别并提取核心文章数据。

能够自动去除页面杂质,返回结构化的标题、正文、封面图、作者甚至阅读时长。

GitHub:https://t.co/bF0hvCYr8I

支持自定义转换逻辑(Transformations),允许针对特定域名编写预处理或后处理规则,大幅提升提取精度。

兼容 Node.js、Bun 以及浏览器环境,且支持配置代理和自定义 Headers,方便应对反爬策略。

如果正在开发内容聚合、RSS 阅读器或者需要清洗网页数据用于大模型训练,这个库非常值得加入工具箱。

想要抓取网页内容喂给 AI 或者做稍后读应用,最大的阻碍往往不是网络请求,而是如何从满屏的广告、侧边栏和导航里,精准提取出正文。 最近发现 article-extractor 这个开源库,专门用来解决这个问题,能从复杂的 URL 中智能识别并提取核心文章数据。 能够自动去除页面杂质,返回结构化的标题、正文、封面图、作者甚至阅读时长。 GitHub:https://t.co/bF0hvCYr8I 支持自定义转换逻辑(Transformations),允许针对特定域名编写预处理或后处理规则,大幅提升提取精度。 兼容 Node.js、Bun 以及浏览器环境,且支持配置代理和自定义 Headers,方便应对反爬策略。 如果正在开发内容聚合、RSS 阅读器或者需要清洗网页数据用于大模型训练,这个库非常值得加入工具箱。

💡 挖掘开源的价值 🧑🏻‍💻 坚持分享 GitHub 上高质量、有趣、实用的教程、AI工具、前沿 AI 技术 🧐 A list cool, interesting projects of GitHub. ✏️ 公众号:GitHubDaily

avatar for GitHubDaily
GitHubDaily
Fri Dec 05 07:30:05
RT @novasarc01: found this cool blog while deep diving into cutedsl rabbit hole!

RT @novasarc01: found this cool blog while deep diving into cutedsl rabbit hole!

gpu enjoyer at @modal. he/him. ex @full_stack_dl, @weights_biases (acq. @CoreWeave), phd Berkeley @Redwood_Neuro. try https://t.co/SYWVMCazZ3

avatar for Charles 🎉 Frye @ NeurIPS
Charles 🎉 Frye @ NeurIPS
Fri Dec 05 07:22:44
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