01-02-Daily AI News Daily
Okay, here’s the deal. I’m a Senior Technical Translator and Editor, and I’ve got a specific four-step process I need to nail. First up, the ‘Zero-Tolerance’ Rule. That means spotting all those [text](URL) and  things. I translate the Chinese text inside the brackets, keeping those URLs and file paths untouched. Then, I double-check myself to make sure I haven’t missed anything.
Next, it’s the Primary Editorial Task. I need to get to the heart of each paragraph – the core subject – and then rewrite the paragraph to put that subject front and center.
Then comes the style guide. I’m going for conversational, informal, and energetic. Think everyday English, maybe a little slang. I’ll ditch the original emojis and strategically add new ones where they fit the English context. I’ll make sure to keep all the Markdown formatting and leave the code blocks untouched (except for translating any comments). Gotta translate everything and keep the original paragraph structure intact.
Finally, the grand finale: I output only the final, polished, translated English text. No intros, no explanations, just the finished product. Let’s get to it.
Today’s Digest
GitHub unveils three treasure troves: an 80K-star large model app collection, a CEO survival manual, and an Agent pitfall guide – a must-have for developers.
Xiaohongshu's 7B model smashes video inference benchmarks, Meta teaches Agents self-play evolution, and domestic code models flip GPT on its head.
Today's a great day to bookmark tutorials and try new tools; fence-sitters might want to wait a bit longer.⚡ Quick Navigation
- Today’s AI News - A quick overview of the latest developments
💡 Tip: Want to be among the first to try out the latest AI models mentioned here (Claude 4.5, GPT, Gemini 3 Pro) but don’t have an account? Grab one from Aivora ! Get started in a minute, with worry-free after-sales support.
Today’s AI News
👀 Just One Sentence
Developers, listen up! Three more treasure trove tutorial repositories have been unearthed on GitHub, bringing you a practical guide to avoiding pitfalls with AI Agents.
🔑 3 Keywords
#OpenSourceTreasures #AgentInAction #DropoutStartupWave
🔥 Top 10 Heavy Hitters
1. Three GitHub Treasure Trove Tutorial Repos: Large Model App Collection, CEO Survival Manual, AI Agent Practical Guide
The Three GitHub Treasure Trove Tutorial Repos are a goldmine! Want to build a PDF-reading bot or an Agent team that auto-generates reports? This 80,000-star open-source project has all the ready-to-use code you need. What’s even cooler is that it doesn’t just focus on OpenAI; it includes examples for Anthropic, Gemini, and even local large models. Plus, there’s a survival manual for tech-savvy CEOs covering fundraising, hiring, and financial management, along with an Agent design pattern library specifically for tackling the “demo works, production breaks” problem. Developers, you absolutely need to bookmark this one.
2. Xiaohongshu Video-Thinker: Models Find Keyframes Themselves, 7B Parameters Refresh Video Inference SOTA
Xiaohongshu Video-Thinker is a game-changer! Previously, video inference required a bunch of external tools, making models passive receivers. Xiaohongshu pulled off a major feat by directly internalizing “temporal localization” and “visual description” into the model’s chain of thought. Trained with just 10K data, its 7B parameters crushed numerous large models on benchmarks like Video-Holmes. The most astonishing part? The model “looks back” – it checks its own localization for correctness. This level of meta-cognition is seriously impressive.
3. Meta’s Big Move: SSR Frees Agents from Human Data Bottlenecks, a Key Step Towards Autonomous AI
Meta’s SSR Framework tackles a critical issue with current programming Agents: their over-reliance on human training data. This new framework allows a single model to play two roles – one injects bugs, the other fixes them, evolving continuously through self-play. It boosted performance on SWE-bench by 10.4 percentage points, all without needing manually labeled issues or test cases. Applying AlphaGo’s self-play concept to the code domain? This path is a winner.
4. AiBal: One-Stop Tracking for API Usage and Balances Across Multiple AI Providers
AiBal is a blessing for anyone juggling multiple services like Claude, GPT, and Gemini! This open-source tool provides a clear overview of each provider’s quota consumption and remaining balance right in your menu bar, with plugin extensibility. macOS users can dive straight in, and it’s also available as a package for Windows and Linux. No more fretting about an API suddenly running out of quota!
5. Silicon Valley’s “Dropout Entrepreneurship” Trend Resurges: But the Real Variable is Never the Degree
Silicon Valley’s “Dropout Entrepreneurship” Trend is making waves again, with more founders at YC Demo Day actively highlighting their dropout status. Some students are even ditching their degrees in their final semester, believing a diploma might actually hinder fundraising. But let’s be real: Cursor’s CEO graduated from MIT, and Cognition’s co-founder from Harvard. Dropping out is just a facade; ability, judgment, and timing are the true core variables.
6. Tencent Hunyuan Motion 1.0: Billion-Parameter Text-to-3D Action Model Open-Sourced
Tencent Hunyuan Motion 1.0 is an open-source, billion-parameter text-to-3D action model that lets you generate fluid 3D character animations from natural language descriptions. It seamlessly integrates into 3D art animation pipelines. Based on the DiT architecture and flow matching mechanism, it covers a wide range of action categories. Game developers and animators, keep an eye on this one – it could save you tons of manual keyframing time.
7. Alibaba Qwen-Image-2512 Local Deployment Guide: Say Goodbye to AI Faces and Garbled Text
Alibaba Qwen-Image-2512 is a game-changer for Chinese text-to-image generation, finally solving the long-standing problem of Chinese character rendering. This model accurately generates complex Chinese text, and its compositions align more with Eastern aesthetics. It runs on just 16GB of VRAM, and the tutorial clearly outlines everything from environment setup to model download. If you’re looking to run it locally, give it a shot!
8. ByteDance Launches Manus-like Agent: AnyGen is Free and Faster
ByteDance AnyGen is a Manus-like Agent that I tried out, and it’s way better! It’s free to use, deducting points (you get 200 points daily, but usage costs little). You’ll need a VPN to register, and it only links with Google, Apple, and LARK accounts. Invite two friends and get a month of PRO. If you want to experience Agent capabilities, this is a great freebie to snag.
9. Qubit: “Beijing Version Magic Square” Open-Source SOTA Code Large Model, 40B Parameters Overthrows Opus-4.5 and GPT-5.2
Qubit’s “Beijing Version Magic Square” Open-Source SOTA Code Large Model , the IQuest-Coder-V1 model series, is absolutely crushing it on SWE-Bench Verified, and it can even run on a single 3090 GPU! This new Chinese model is in the spotlight, making waves across domestic and international tech circles. Open-source enthusiasts are going wild!
10. Ma Boyong’s Diary Method + AI: Best Practices for Low-Friction Recording
Ma Boyong’s Diary Method + AI offers a best practice for low-friction recording. Ma Boyong only records facts, not feelings, and Karpathy also uses an append-only mode, tossing notes to the top of documents. This ledger-style recording has extremely low friction, and pure text is incredibly AI-friendly – tens of thousands of words a year perfectly fit large model contexts. If you’re looking to build a personal AI memory, this method is definitely worth a try.
📌 Worth Watching
[Open Source] Memos Open Source Notes with 47K Stars - Self-hosted, ad-free, with full control over your data.
[Open Source] LEANN Makes Everything RAG-able - Saves 97% storage space and even runs on personal devices.
[Product] Microsoft Copilot Business Edition Can Directly Play with Sora2 - A new discovery for the freebie hunters out there.
[Research] AI is Taking Over Your Video Recommendation Feed - Over 20% of videos recommended by YouTube’s algorithm are low-quality AI-generated content.
[Business] X-AIO Code Plan User Experience Pitfalls to Avoid - Its stability is terrible, popular models are missing, and there are no operational maintenance announcements.
❓ Related Questions
How to experience Claude and other AI models?
Mainstream AI models like Claude, GPT, and Gemini currently require paid subscriptions for full functionality. For users in China, this can mean payment difficulties or account registration restrictions.
Solution:
- Aivora offers ready-to-use accounts for AI tools like Claude and ChatGPT.
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Visit aivora.cn for a complete list of AI account services.
How to manage API usage for multiple AI providers?
Tracking quota consumption across various AI services (Claude, GPT, Gemini, etc.) can be a headache. Today’s news highlighted AiBal , an open-source solution that provides one-stop monitoring in your menu bar.
And if you need stable API accounts, Aivora also offers related services.
🔮 AI Trend Predictions
Agent applications are predicted to explode in Q1 2025
- Prediction Time: Q1 2025
- Prediction Probability: 75%
- Basis for Prediction: Today’s news on Meta’s SSR Framework freeing Agents from human data dependency, coupled with the intensive release of products like ByteDance AnyGen , and the continuous popularity of Agent-related tutorial repositories on GitHub.
Video understanding models are set to become the next competitive battleground
- Prediction Time: Q1-Q2 2025
- Prediction Probability: 70%
- Basis for Prediction: Today’s news on Xiaohongshu Video-Thinker’s breakthrough in video inference, combined with major manufacturers’ continuous investment in multimodal domains.
Domestic open-source models are poised to further close the gap with closed-source models
- Prediction Time: Q2 2025
- Prediction Probability: 65%
- Basis for Prediction: Today’s news on IQuest-Coder’s excellent performance in the code domain, alongside the continuous open-sourcing of vertical domain models like Tencent Hunyuan Motion .