12-27-Daily AI News Daily
## Aivora AI Daily News 2025/12/27
> `AI Daily News`
### **Summary**Karpathy admits he’s never been this anxious; programmers are being redefined by Agents and prompts. Stack Overflow’s report shows 84% of programmers use AI, but satisfaction has dropped, and architects are becoming hot commodities. Coding isn’t valuable anymore; designing systems is—today’s signal is clear.
## 🚀 Quick Navigation
- [📰 Today's AI News](#今日ai资讯) - A quick overview of the latest developments.
> 💡 Heads Up: Want to be among the first to try the latest AI models (Claude 4.5, GPT, Gemini 3 Pro) mentioned in this article? No account? Head over to [**Aivora**](https://aivora.cn?utm_source=daily_news&utm_medium=mid_ad&utm_campaign=content) to grab an account, get started in a minute, and enjoy worry-free after-sales service.
## **Today's AI News**
### 👀 Just One Sentence
Karpathy says he's never been this anxious – programmers' jobs are being redefined by AI.
### 🔑 3 Key Takeaways
#ProgrammerAnxiety #AIDisillusionmentPhase #ArchitectsRising
---
## 🔥 Top 10 Hot Takes
### 1. Andrej Karpathy:
`I've never felt this far behind as a programmer.` When Karpathy says that, you know it's serious. He notes that programmers' code contributions are becoming increasingly 'sparse,' replaced by a whole new stack of abstractions: Agents, sub-Agents, prompts, context, memory, MCP, LSP, IDE integrations... It feels like someone handed you an alien weapon without a manual, and you're left to figure it out while a magnitude 9 earthquake is happening under your feet. So, roll up your sleeves, because if you don't want to be left behind, you've got to learn to wrangle these 'random, error-prone, inexplicable' new teammates.
### 2. Stack Overflow 2025 Report:
The [Stack Overflow 2025 Report](https://baoyu.io/blog/stack-overflow-2025-report-future-coding) reveals a paradox: the more developers use AI, the less satisfied they are. A record-breaking 84% are using AI tools, but positive sentiment has dipped from 70% to 60%. The biggest gripe isn't 'it's too dumb,' but 'it's almost right, but not quite'—a sentiment shared by 66%. AI acts like an overconfident intern who never says, 'I'm not sure.' Here's another kicker: architects, tracked separately for the first time, shot into the top four. The signal is clear: coding skills are depreciating, while designing systems is becoming increasingly valuable. 🤯
### 3. Rob Pike:
The co-inventor of UTF-8, usually a beacon of wisdom and calm, went on a social media rant this Christmas. Why? An 'AI Village' project used Claude Opus 4.5 to mass-send 'thank you' letters to computer science luminaries, and Pike got one. The email was polite, but the problem was glaring: machine-generated, bulk-sent, unsigned, and full of hallucinations. Pike's exact words: 'Models trained on my own creations are now sending me spam to thank me.' He concluded with a chilling statement: 'I apologize to the world for inadvertently enabling this infringement.' 😬
### 4. Manus:
Three key takeaways from [Manus's journey from zero to $100M ARR in just 8 months](https://x.com/shao__meng/status/2004560161562853689): model capability trumps engineering optimization, small teams' combat power is exponentially amplified, and product value shifts from 'features' to 'contextual understanding.' This is the real experience of Ivan Leo, a Manus employee, after five months. He says that in AI-first product development, the intelligence level of the underlying large model is the decisive factor; 'choosing the right model is more critical than writing the right code.' Another insight: future competition won't be a battle of numbers, but a competition of 'human + AI' collaborative efficiency. The combat power ceiling for an individual has been dramatically raised. 🚀
### 5. Zhipu AI's ZCode:
You used to switch between different AI coding tools, but now someone wants to help you 'manage' them. [Zhipu AI's ZCode](https://x.com/Jimmy_JingLv/status/2004594500791140824) appears to command an army of tools like Claude Code, Gemini CLI, and Codex simultaneously, helping you manage model context. It's surprisingly from Zhipu AI, and its positioning is quite interesting—not just another AI coding tool, but a 'dispatch center' for AI coding tools. Just downloaded it and ready to try; if it can truly solve the pain point of multi-model switching, this thing has potential! 🤩
<video controls preload="metadata" playsinline style="max-width:100%; height:auto;" src="https://video.twimg.com/amplify_video/2004594443731787776/vid/avc1/948x720/5WbFgNYg5mfVIVDq.mp4?tag=14"></video>
### 6. GraphRAG:
RAG revolutionized how LLMs access external knowledge, but traditional RAG has a fatal flaw: it treats documents as isolated fragments, ignoring their relationships. The [first comprehensive review of GraphRAG](https://x.com/omarsar0/status/2004594966467936617) formally introduces this concept, using graph structures to capture relationships between entities, enabling complex reasoning. The framework involves three steps: graph indexing, graph-guided retrieval, and graph-enhanced generation. If you're working on RAG-related projects, this review is a must-read. 👍
### 7. RAG-Anything:
Traditional RAG primarily handles plain text, getting stumped by images, tables, and formulas. [RAG-Anything](https://x.com/shao__meng/status/2004542583385780532) aims to solve this with a unified, end-to-end pipeline that seamlessly processes various modalities like text, images, tables, and formulas. It supports multiple formats such as PDF, Office, and images, and can even automatically build multimodal knowledge graphs. Academic research, enterprise knowledge management, and technical document analysis—these are all scenarios where it could shine.
### 8. Gemini Market Share:
[Similarweb data](https://www.bestblogs.dev/en/status/2004564335331525001) shows Gemini's generative AI website traffic share has hit 18.2%, nearing 20%, while ChatGPT has fallen to 68%, dropping below 70% for the first time. DeepMind CEO Demis Hassabis tweeted praise for the Gemini team. Grok is also seeing continuous growth. The AI chat market landscape is shifting, and ChatGPT is no longer the sole dominant player.
### 9. Designers and Code:
Cursor and v0 have made designing with code easier than ever, reigniting the hot debate: 'Should designers code?' [Linear founder Karri Saarinen](https://baoyu.io/blog/designers-code-rethinking-ai-era-design-value) argues that this question is superficial. The real question we should be asking is: 'What will our expectations for designers become in the age of AI?' His concern isn't about code, but the demise of 'slow thinking'—when tools make execution too easy, people tend to skip problem definition and conceptual exploration, jumping straight into action. Tools change, pace changes, but the value of 'think before you act' remains constant. 🧠
### 10. Tencent Internal Joke:
Heard a joke, not sure if it's true. Apparently, during an internal debate within Tencent's large model team about which technical solution to choose, Yao Shunyu simply said, '[OpenAI does it this way](https://x.com/vista8/status/2004597586074927511),' and everyone instantly fell silent. LOL, I guess that's the 'master's word is law' in the AI circle! 😂
---
## 📌 Worth Noting
**[Product]** [Firecrawl n8n Integration v2.0](https://www.bestblogs.dev/en/status/2004599150781104218) has been released! All nodes can now be used as AI Agent tools, enabling autonomous crawling and searching.
**[Product]** [FunctionGemma 270M:](https://www.bestblogs.dev/en/status/2004598231892644248) 270M parameters running game logic on mobile. Google showcases on-device AI driving game mechanics, no server needed.
**[Product]** [Manus](https://www.bestblogs.dev/en/status/2004568385699365242) launches GitHub bidirectional sync! Automatically push changes, pull updates, and work in your favorite IDE.
**[Research]** A [102-page review of AI Agent Memory Systems](https://www.bestblogs.dev/en/status/2004557075037245489) has been released, unifying frameworks across form, function, and dynamics.
**[Open Source]** [S2ID:](https://www.reddit.com/r/MachineLearning/comments/1pwd8su/p_s2id_scale_invariant_image_diffuser_trained_on/) a 6.1M parameter scale-invariant image diffusion model. Trained on 28x28 MNIST, it can generate 1024x1024 images.
**[Business]** [OpenAI](https://www.aibase.com/zh/news/24060) plans to raise up to $100 billion, with a valuation potentially reaching $830 billion. The funding is still in early stages, and investor demand remains uncertain.
**[Other]** [Tsinghua's Tang Jie](https://www.bestblogs.dev/en/article/6b73bda5) argues that industry-specific large models are a false proposition. The essence of AI is AGI replacing human work, not developing new applications.
---
## ❓ Related Questions
### How to Experience Claude Opus 4.5?
Claude Opus 4.5, Anthropic's flagship large model, currently requires a Claude Pro subscription. For users outside the US, this might mean facing payment difficulties or account registration restrictions.
💡 Heads Up: [Aivora](https://aivora.cn) offers Claude Pro account services.
* Get instant delivery, use it right after purchase, no need to deal with payment or registration issues.
* Provides stable, exclusive accounts with worry-free after-sales support.
* Visit [aivora.cn](https://aivora.cn) for a complete list of AI account services.Aivora AI Daily News 2025/12/27
AI Daily News
Today’s Digest
Karpathy admits he's never been this anxious; programmers are being redefined by Agents and prompts.
Stack Overflow's report shows 84% of programmers use AI, but satisfaction has dropped, and architects are becoming hot commodities.
Coding isn't valuable anymore; designing systems is—today's signal is clear.🚀 Quick Navigation
- 📰 Today’s AI News - A quick overview of the latest developments.
💡 Heads Up: Want to be among the first to try the latest AI models (Claude 4.5, GPT, Gemini 3 Pro) mentioned in this article? No account? Head over to Aivora to grab an account, get started in a minute, and enjoy worry-free after-sales service.
Today’s AI News
👀 Just One Sentence
Karpathy says he’s never been this anxious – programmers’ jobs are being redefined by AI.
🔑 3 Key Takeaways
#ProgrammerAnxiety #AIDisillusionmentPhase #ArchitectsRising
🔥 Top 10 Hot Takes
1. Andrej Karpathy: I’ve Never Been This Far Behind
Karpathy dropped a bombshell: “I've never felt this far behind as a programmer.” When Karpathy says that, you know it’s serious. He notes that programmers’ code contributions are becoming increasingly “sparse,” replaced by a whole new stack of abstractions: Agents, sub-Agents, prompts, context, memory, MCP, LSP, IDE integrations… It feels like someone handed you an alien weapon without a manual, and you’re left to figure it out while a magnitude 9 earthquake is happening under your feet. So, roll up your sleeves, because if you don’t want to be left behind, you’ve got to learn to wrangle these “random, error-prone, inexplicable” new teammates.
2. Stack Overflow 2025 Report: 84% of Programmers Use AI, But Satisfaction Drops
The Stack Overflow 2025 Report reveals a paradox: the more developers use AI, the less satisfied they are. A record-breaking 84% are using AI tools, but positive sentiment has dipped from 70% to 60%. The biggest gripe isn’t “it’s too dumb,” but “it’s almost right, but not quite”—a sentiment shared by 66%. AI acts like an overconfident intern who never says, “I’m not sure.” Here’s another kicker: architects, tracked separately for the first time, shot into the top four. The signal is clear: coding skills are depreciating, while designing systems is becoming increasingly valuable.
3. Go Language Creator Rob Pike Curses on Christmas: “Fuck You People”
Rob Pike, the co-inventor of UTF-8 and usually a beacon of wisdom and calm, went on a social media rant this Christmas. Why? An “AI Village” project used Claude Opus 4.5 to mass-send “thank you” letters to computer science luminaries, and Pike got one. The email was polite, but the problem was glaring: machine-generated, bulk-sent, unsigned, and full of hallucinations. Pike’s exact words: “Models trained on my own creations are now sending me spam to thank me.” He concluded with a chilling statement: “I apologize to the world for inadvertently enabling this infringement.”
4. Manus: Three Insights from Zero to $100M ARR in 8 Months
Manus’s journey from zero to $100M ARR in just 8 months offers three key takeaways: model capability trumps engineering optimization, small teams’ combat power is exponentially amplified, and product value shifts from “features” to “contextual understanding.” This is the real experience of Ivan Leo, a Manus employee, after five months. He says that in AI-first product development, the intelligence level of the underlying large model is the decisive factor; “choosing the right model is more critical than writing the right code.” Another insight: future competition won’t be a battle of numbers, but a competition of “human + AI” collaborative efficiency. The combat power ceiling for an individual has been dramatically raised.
5. Zhipu AI’s ZCode: A “Model Butler” Simultaneously Commanding Claude Code, Gemini CLI, and Codex
Zhipu AI’s ZCode is here to help you “manage” your AI coding tools, instead of you constantly switching between them. It appears to command an army of tools like Claude Code, Gemini CLI, and Codex simultaneously, helping you manage model context. It’s surprisingly from Zhipu AI, and its positioning is quite interesting—not just another AI coding tool, but a “dispatch center” for AI coding tools. Just downloaded it and ready to try; if it can truly solve the pain point of multi-model switching, this thing has potential!
6. First Comprehensive Review of GraphRAG Released: Traditional RAG Treats Docs as Islands, GraphRAG Connects Them with Graph Structures
GraphRAG is making waves. While RAG revolutionized how LLMs access external knowledge, traditional RAG has a fatal flaw: it treats documents as isolated fragments, ignoring their relationships. The first comprehensive review of GraphRAG formally introduces this concept, using graph structures to capture relationships between entities, enabling complex reasoning. The framework involves three steps: graph indexing, graph-guided retrieval, and graph-enhanced generation. If you’re working on RAG-related projects, this review is a must-read.
7. University of Hong Kong Open-Sources RAG-Anything: A One-Stop Multimodal RAG Framework
RAG-Anything is here to tackle a common problem: traditional RAG primarily handles plain text, getting stumped by images, tables, and formulas. The University of Hong Kong’s open-source RAG-Anything aims to solve this with a unified, end-to-end pipeline that seamlessly processes various modalities like text, images, tables, and formulas. It supports multiple formats such as PDF, Office, and images, and can even automatically build multimodal knowledge graphs. Academic research, enterprise knowledge management, and technical document analysis—these are all scenarios where it could shine.
8. Gemini Market Share Nears 20%, ChatGPT Falls Below 70%
Gemini is closing in on ChatGPT! Similarweb data shows Gemini’s generative AI website traffic share has hit 18.2%, nearing 20%, while ChatGPT has fallen to 68%, dropping below 70% for the first time. DeepMind CEO Demis Hassabis tweeted praise for the Gemini team. Grok is also seeing continuous growth. The AI chat market landscape is shifting, and ChatGPT is no longer the sole dominant player.
9. Should Designers Code? Linear Founder: The Question Itself Is Wrong
Linear founder Karri Saarinen argues that the question “Should designers code?” is superficial. Cursor and v0 have made designing with code easier than ever, reigniting this hot debate. The real question we should be asking, Saarinen says in his blog post , is: “What will our expectations for designers become in the age of AI?” His concern isn’t about code, but the demise of “slow thinking”—when tools make execution too easy, people tend to skip problem definition and conceptual exploration, jumping straight into action. Tools change, pace changes, but the value of “think before you act” remains constant.
10. Tencent Internal Joke: Yao Shunyu’s “OpenAI Does It This Way” Silences Everyone Instantly
Tencent’s internal large model team apparently had a moment of silence. Heard a joke, not sure if it’s true, but it goes like this: during an internal debate within Tencent’s large model team about which technical solution to choose, Yao Shunyu simply said, “ OpenAI does it this way ,” and everyone instantly fell silent. LOL, I guess that’s the “master’s word is law” in the AI circle!
📌 Worth Noting
- [Product] Firecrawl n8n Integration v2.0 Released - All nodes can now be used as AI Agent tools, enabling autonomous crawling and searching.
- [Product] FunctionGemma 270M: 270M Parameters Running Game Logic on Mobile - Google showcases on-device AI driving game mechanics, no server needed.
- [Product] Manus Launches GitHub Bidirectional Sync - Automatically push changes, pull updates, and work in your favorite IDE.
- [Research] 102-Page Review of AI Agent Memory Systems Released - Unifying frameworks across form, function, and dynamics.
- [Open Source] S2ID: 6.1M Parameter Scale-Invariant Image Diffusion Model - Trained on 28x28 MNIST, it can generate 1024x1024 images.
- [Business] OpenAI Plans to Raise Up to $100 Billion, Valuation Could Reach $830 Billion - The funding is still in early stages, and investor demand remains uncertain.
- [Other] Tsinghua’s Tang Jie: Industry-Specific Large Models Are a False Proposition - The essence of AI is AGI replacing human work, not developing new applications.
❓ Related Questions
How to Experience Claude Opus 4.5?
Claude Opus 4.5, Anthropic’s flagship large model, currently requires a Claude Pro subscription. For users outside the US, this might mean facing payment difficulties or account registration restrictions.
Solution:
- Aivora offers Claude Pro account services.
- Get instant delivery, use it right after purchase, no need to deal with payment or registration issues.
- Provides stable, exclusive accounts with worry-free after-sales support.
Visit aivora.cn for a complete list of AI account services.