01-04-Daily AI News Daily

AI Daily News 2026/1/4

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Today’s Brief

Google demos Gemini 3 Flash automated ETL cleaning
IQuest-Coder code model suspected of training set cheating
Baidu Kunlunxin targets Hong Kong IPO with a valuation of 20 billion
ByteDance open-sources Dolphin for multimodal document parsing
Yann LeCun resigns, slams large models as hitting a ceiling

Industry Outlook & Social Impact

1. Baidu Kunlunxin targets Hong Kong IPO. Baidu’s Kunlunxin is making a bold move, gunning for a Hong Kong IPO (AI News) . This chip division is already valued at a whopping ¥21 billion RMB, with giants like BYD jumping in as investors. They’re currently China’s second-largest domestic AI chip supplier by shipments. The goal? To raise independent capital and go head-to-head with Nvidia. 💪

2. Yann LeCun slams Zuckerberg after resignation. Yann LeCun, after exiting Meta, is absolutely scorching 🔥. He’s openly criticized Zuck for allegedly rigging benchmark tests, flat-out stating that large language models have hit a ceiling. Word on the street is, internal researchers at Meta weren’t exactly thrilled with him, believing Meta wasn’t his ideal home. 😬 View Interview Details (AI News)
   
   
   

3. 2025 LLM development annual review. The year 2025 saw AI get both smarter and pricier. 💸 Inference models and Agents became industry standards, with the CLI (command-line interface) re-emerging as the main battleground for development. Chinese models actually broke the US tech monopoly, which is pretty wild! However, developers often chased efficiency, accidentally (or intentionally) ignoring safety red lines. 🤫 Read Annual Review (AI News)

4. IQuest-Coder code model embroiled in cheating controversy. IQuest-Coder, a 40B-parameter open-source code model (AI News) , claimed to outperform Claude and GPT-5. But guess what? The community smelled something fishy 🚨. They found that its repository contained uncleared .git files, leading to suspicions that its training data might have included test set answers. This kind of “benchmaxxing” has sparked widespread doubts, and SWE-bench has already rolled out an urgent fix. 😅

Top Open-Source Projects

1. ByteDance open-sources multimodal document parsing. ByteDance has released 🐬 Dolphin Document Parsing (AI News) as open source! This tool is a powerhouse, specializing in complex layouts and multimodal document processing. It uses heterogeneous anchor prompts to boost parsing accuracy and precisely recognizes tables and formulas. Converting a PDF to Markdown? Dolphin does it in a flash. ⚡️
   
   
   

2. Pathway: Python real-time stream processing framework. Pathway is a wicked cool 🌊 Python framework (AI News) for real-time stream processing. It supports live analytics and RAG pipeline construction, specifically designed for data processing in LLM applications. This project is clearly hitting a nerve, racking up an impressive 55.8k stars on GitHub! ✨

3. OpenBB: Financial data platform for the AI era. OpenBB is a cutting-edge 📈 financial data platform (AI News) built for AI agents. It’s a go-to for quant traders and data analysts, offering open-source investment research tools. With a massive 56.2k stars on GitHub, it’s definitely a crowd-pleaser! 🚀

Social Media Buzz

1. Newbie programmer burns through 3 billion tokens in four months. This author torched through 3 Billion Tokens (AI News) using AI! In just four months, they built over 50 products, relying entirely on CLI and AI agents for collaboration. This just goes to show that coding is essentially a real-time strategy game, where the desire to explore trumps professional background. Mind. Blown. 🤯
   
   
   

2. Google engineer shocked by Claude Code’s efficiency. A Google engineer was absolutely gobsmacked 🤯 by Claude Code’s efficiency (AI News) ! This AI completed a year’s worth of a team’s work in just one hour. The engineer pointed out the sluggish decision-making processes in big corporations, suggesting the future belongs to a (1+N) human-AI collaboration model. That’s some serious food for thought! 🤖

3. Claude Code author reveals personal workflow. The creator of Claude Code just spilled the beans 🛠️ on their personal workflow (AI News) ! They run a whopping 15 Claude instances in parallel and build their team’s knowledge base using .md files. The key? Emphasizing a “Plan” mode – always plan before you execute. Plus, they stress that validation feedback can skyrocket quality by several orders of magnitude. Talk about efficiency! ✨
   
   
   

4. LangChain team’s Deep Agents evaluation insights. The LangChain team has dished out some savvy insights 🧐 on Deep Agents evaluation (AI News) . Their hot tip? Customize testing logic for each data point. They also suggest that single-step evaluations can catch regression issues early, and emphasize realistic simulation for multi-turn conversations. Oh, and getting your environment settings just right is absolutely crucial for reproducibility. Solid advice! 💡
   
   
   

5. Ten key tips for mastering AI. A blogger dropped 🔟 key tips (AI News) for crushing it with AI! First up, break down your personal workflow. Keep a communication standards document handy, and regularly purge any redundant AI-generated info. And don’t forget project management skills – they’re essential for delivering results. Wise words! ✨

6. Gemini 3 Flash automated ETL demo. Google just unveiled a lightning-fast demo ⚡ of its Gemini 3 Flash (AI News) model! This bad boy can instantly complete data cleaning and ETL processes. It uses its inference capabilities to automatically resolve source data conflicts, showcasing mind-blowing real-time processing speed. Talk about a game-changer! This fully automated pipeline is set to totally transform manual workflows. 🚀

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