Boyannn

内向且枯燥 沉闷且无趣 粤语国语使用者

[实践哥MinLi @MinLiBuilds]

https://t.co/gksXMUvqr8

[Suni @suni_code]

Found the Best Resource to learn Harness Engineering. 😭

https://t.co/3eOEmMlfbv

[Berryxia.AI @berryxia]

Stanford 这堂 2 小时 AI 系统构建课，直接把 Claude 所有教程和 Prompting Thread 秒了！

强烈推荐：
“比你刷过的所有 Claude 教程都实用 10 倍”

里面讲的不是 prompt 技巧，而是 Stanford 真正教工程师如何从零构建可靠 AI 系统的完整方法论。

周末就刷这一个，绝对是你这周最有生产力的事！

我已经将其翻译为中英 文双语视频直接戳这里👇

[Amit Shekhar @amitiitbhu]

https://t.co/f8Lxn4gBD8

[José Maria Macedo @ZeMariaMacedo]

A few clarifications on my China post, which I think has been misread as more bearish than intended.

China has built the best open-source models in the world at a fraction of the CapEx and with far less chip access than Western labs. That is genuinely extraordinary.

The talent level is the highest I've encountered anywhere. I'm confident there will be game-changing entrepreneurs to come out of this ecosystem.

We've already committed to one Chinese software-focused fund and are in late stages with two more. We're not bearish — we're trying to invest carefully in a market with real froth.

The post was meant as a nuanced take from someone actively looking to deploy capital there, not a dismissal.

[ModelScope @ModelScope2022]

Tencent HY just dropped OmniWeaving: omni-level video gen with reasoning, built on HunyuanVideo-1.5.🚀 🚀

✅ T2V, I2V, key-frame interpolation, video editing, multi-subject composition (up to 4 reference images, free-form text-image-video inputs)
🎯 Thinking mode: MLLM reasons over user intent before generating
⚡ Hidden States DeepStacking: multi-layer MLLM features (inspired by Qwen3-VL) for richer semantic control
📄 IntelligentVBench: new benchmark for unified video generation, released alongside. SoTA among open-source unified models.

💻 https://t.co/4ZMpdvREFt
📄 https://t.co/MDJ13nFR7T
🎮 Qualitative Examples 👉 https://t.co/GuJwGu7o3R

[Ahmad @TheAhmadOsman]

https://t.co/sF6qq5uIXK

[Haocheng Xi @HaochengXiUCB]

Really exciting to see KV-cache compression getting attention.

A similar bottleneck shows up beyond LLMs: for world models and autoregressive long-video generation, KV cache can quickly dominate memory and limit long-horizon consistency.

Our recent work, Quant VideoGen, explores training-free 2-bit KV-cache quantization for video diffusion models, achieving up to 7.0× KV memory reduction with <4% latency overhead.

Link: https://t.co/SH6FXXTGxL

[Thariq @trq212]

I put a lot of heart into my technical writing, I hope it's useful to you all.

📌 Here's a pinned thread of everything I've written.

(much of this will be posted on the Claude blog soon as well)

[Dhravya Shah @DhravyaShah]

https://t.co/PII44vkWP7

[宝玉 @dotey]

小技巧
~/.claude/settings.json 里面添加
{
"attribution": {
"commit": "",
"pr": ""
}
}
就可以默认不加 co-author
https://t.co/08j5zFEOVL

[日常焦虑帝 @gpuhell]

苏神博客上的配图比论文里的清楚多了...
连线有颜色区分，一看就知道，论文里的单色混在一起。

https://t.co/AWdhWlKRcA

[Thariq @trq212]

We just released Claude Code channels, which allows you to control your Claude Code session through select MCPs, starting with Telegram and Discord.

Use this to message Claude Code directly from your phone.

[Boyannn @ChanKaser]

@aliez_ren 可以试试, https://t.co/OL2EnKNKZK 对nvfp4支持应该是最好的

[Ai2 @allen_ai]

What's in the release:
🔹 Pretraining &amp; fine-tuning scripts (SFT + long-context SFT)
🔹 Multi-node distributed training
🔹 Data download, preprocessing, &amp; visualization utilities
🔹 Single-task &amp; multi-eval scripts with caching

Built for reproducibility &amp; new experiments.

[Thariq @trq212]

a few Friday afternoon ships to end the week:

the AskUserQuestion tool can now show markdown snippets to display diagrams, code examples, etc.

[The AI Timeline @TheAITimeline]

🚨This week's top AI/ML research papers:

- GLM-5
- Experiential Reinforcement Learning
- Image Generation with a Sphere Encoder
- World Action Models are Zero-shot Policies
- Unified Latents
- Fast KV Compaction via Attention Matching
- Adam Improves Muon
- LUCID
- The Molecular Structure of Thought
- Arcee Trinity Large Technical Report

read this in thread mode for the best experience

[Alex Wa @_djdumpling]

new blog! What methodologies do labs use to train frontier models?

The blog distills 7 open-weight model reports from frontier labs, covering architecture, stability, optimizers, data curation, pre/mid/post-training + RL, and behaviors/safety

https://t.co/88heRH4TcO

[Deedy @deedydas]

The Ultimate List of Artificial Intelligence "Neolabs".

A Neolab is a pre-revenue scale startup working on long-term AI breakthroughs.

Here's all 50 of them.

[Pedro @sillydarket]

https://t.co/epmvq8bsBQ