EasyChen

方糖气球（ ）博主，80后大叔，萌物控。做原型、敲代码、写吐槽小说、制四格漫画。无业，玩独立开发，偶尔卖课为生。信息流诸多日本语、二次元、R18内容，关注需谨慎。

[EasyChen @easychen]

@epsychic_ 对

[EasyChen @easychen]

有买 google ai pro + 的同学们，6 月的赠送金可以领了…… ​​​ https://t.co/qgKWMNCV2e

[EasyChen @easychen]

又加了一个风格集

[EasyChen @easychen]

#Easy同学正在独立开发 最近做 Agent，经常需要给它们设置头像。到处找图挺累的。

后来发现 Dice Bear 不错，但没有我喜欢的风格。 于是用 GPT image2 做了个随机头像工具，叫做 Quick Avatar。

npm 直接安装后，传一个 seed 就能用。 目前上架了两组人物，欢迎使用

https://t.co/Cz4dvzuwt8

[EasyChen @easychen]

VibeCoding一时爽，电脑后台垃圾场 😂 用 MacSee 看了下，后台有 80 多个 ClaudeCode 给我启动的遗留进程 🥹

[EasyChen @easychen]

最近 Claude Code 用太多，它总是给我搞出来一堆后台服务，退出时也不关闭。

虽然可以用命令来查看，但总觉得不方便，所以写了一个 MacSee APP，可以用来查看端口占用和对应的目录，方便很多。https://t.co/ES4V4R8dMr

[EasyChen @easychen]

#Easy同学正在独立开发 最近做 Agent，经常需要给它们设置头像。到处找图挺累的。

后来发现 Dice Bear 不错，但没有我喜欢的风格。 于是用 GPT image2 做了个随机头像工具，叫做 Quick Avatar。

npm 直接安装后，传一个 seed 就能用。 目前上架了两组人物，欢迎使用

https://t.co/Cz4dvzuwt8

[DeepSeek @deepseek_ai]

🚀 DeepSeek-V4 Preview is officially live & open-sourced! Welcome to the era of cost-effective 1M context length.

🔹 DeepSeek-V4-Pro: 1.6T total / 49B active params. Performance rivaling the world's top closed-source models.
🔹 DeepSeek-V4-Flash: 284B total / 13B active params. Your fast, efficient, and economical choice.

Try it now at https://t.co/GCdiMzk1Dl via Expert Mode / Instant Mode. API is updated & available today!

📄 Tech Report: https://t.co/drlDrxkYtp
🤗 Open Weights: https://t.co/T13Y8i7SDM

1/n

[trash @trashh_dev]

claude —dangerously-skip-permissions

[Unsloth AI @UnslothAI]

We ran Qwen3.6-35-A3B GGUF performance benchmarks to help you choose the best quant.

Unsloth ranks first in 21 of 22 model sizes on mean KL divergence, making them SOTA.

GGUFs: https://t.co/VlyW8UwDjw

[EasyChen @easychen]

#Easy同学正在独立开发

我们把《一人企业方法论》做成了智能体可以用的 Skill，来和 AI 一起创建和优化你的一人企业吧。

技能集官网: https://t.co/y7M91aGaUf

视频讲解: https://t.co/CiY26srlM8

[MiniMax (official) @MiniMax_AI]

We're delighted to announce that MiniMax M2.7 is now officially open source.
With SOTA performance in SWE-Pro (56.22%) and Terminal Bench 2 (57.0%).

You can find it on Hugging Face now. Enjoy!🤗
huggingface：https://t.co/ApWrahIl3o
Blog: https://t.co/gAxeFsNdW4
MiniMax API: https://t.co/1dgbMx0Q7K

[Wes Bos @wesbos]

‼️Do not npm install or deploy anything right now

Supply chain attack on axios 1.14.1 - even if you don’t use axios it may be a nested dep.

Pin versions or wait until this is resolved

[Cloudflare Developers @CloudflareDev]

The Next.js Adapter API is now stable - the result of over a year of collaboration with Netlify, OpenNext, and other platform partners.

We are deeply committed to developers running Next.js on Cloudflare. Looking forward to building our official adapter on this new foundation.

[Meituan LongCat @Meituan_LongCat]

🔥 Introducing LongCat-Next: A Discrete Native Autoregressive Multimodal Model

LongCat-Next integrates language, vision, and audio into a unified discrete autoregressive model, extending Next-Token Prediction to native multimodality and delivering industrial-strength performance across diverse multimodal domains.

🔑 Key Features:
⚙️ 68.5B total params, 3B active, LongCat-Flash-Lite MoE backbone, excels at seeing, painting, and speaking in a unified discrete autoregressive framework.

🧩 Discrete Native Autoregression Paradigm (DiNA): We introduce DiNA, a unified paradigm that extends next-token prediction from language to native multimodality, internalizing diverse modalities into a shared discrete token space.

🌐 Discrete Native Any‑Resolution Vision Transformer (dNaViT): A unified visual tokenizer and de-tokenizer that encodes images into discrete IDs with semantic completeness, enabling both understanding and generation at any resolution. This approach overcomes the performance ceiling of discrete vision modeling in understanding tasks and enables to reconcile the conflict between understanding and generation.

👀 Visual Understanding: Fine-grained visual perception for complex tasks such as OCR, Charts, GUI interpretation, and document analysis, and advanced STEM reasoning capabilities.

🎨 Visual Generation: Generation under 28x compression ratio at arbitary resolution with competitive performance, especially in text rendering.

🎧 Speech: Strong audio comprehension capabilities, low-latency and intelligent audio-to-audio interaction, as well as speech synthesis featuring customizable voice cloning.

📄 Paper: https://t.co/qiV6YnU9pf
🔗 GitHub: https://t.co/50SHgGrltZ
😊 HuggingFace: https://t.co/Lf0JIQBNAW
💻 demo: https://t.co/b0KncgeAju
📖 blog: https://t.co/LlII0InEW7

[MiniMax_Agent @MiniMaxAgent]

Building agent skills from scratch is a grind.

We've been there. So we built the fix — and open-sourced all of it under MIT.

PDF, Excel, PPTX, DOCX, and more.

Use it, fork it, PR it.

Intelligence with everyone.

Github Repo → https://t.co/BCw4PmX38p
Try online → https://t.co/lkE9bKA2m1

[EasyChen @easychen]

@UnoLeeb 重置了，再试试。

[EasyChen @easychen]

@UnoLeeb 发到客服里边吧 https://t.co/V1aIfvBeaz

[EasyChen @easychen]

@UnoLeeb 客户端吗，可以把 uid 给我，我重置下权限。

[月待にゃも🍥 新作音声公開中⛪️ @TukimachiNyamo]

イベントのプレゼントの中にこれ入ってましたwwwwwwwww

[Zixuan Li @ZixuanLi_]

Don't panic. GLM-5.1 will be open source.