2025-11-24 Tech Briefing | LLaVA-OneVision-1.5 is fully open source, outperforming Qwen2.5-VL in performance.

Monday

Welcome to this edition, featuring 12 articles.

📚 Contents/📝 TL;DR

📚 Contents

📝 TL;DR

Primary

From Training Data, Code to Building Details: LLaVA-OneVision-1.5 Aims to Be 'Fully Open Source'

LLaVA-OneVision-1.5 is fully open source, outperforming Qwen2.5-VL in performance.

From Training Data, Code to Building Details: LLaVA-OneVision-1.5 Aims to Be 'Fully Open Source'

LLaVA-OneVision-1.5 is fully open source, outperforming Qwen2.5-VL in performance.

250. Hebei Factory Second-Generation Resists Price War: Twice Escaped Death, Three Years from Contract Manufacturing to Brand

Hebei factory second-generation escapes contract manufacturing to build a brand.

250. Hebei Factory Second-Generation Resists Price War: Twice Escaped Death, Three Years from Contract Manufacturing to Brand

Hebei factory second-generation escapes contract manufacturing to build a brand.

Performance Improvements in F# 10

F# 10 brings performance optimizations and language enhancements.

Performance Improvements in F# 10

F# 10 brings performance optimizations and language enhancements.

November 23, 2025

Global Highlights: Solar Flares, G20 Summit, AI Progress, and More

November 23, 2025

Global Highlights: Solar Flares, G20 Summit, AI Progress, and More

Cloudflare Workflows Adds Python Support for Persistent AI Pipelines

Cloudflare Workflows now supports Python, enhancing AI pipeline orchestration capabilities.

Cloudflare Workflows Adds Python Support for Persistent AI Pipelines

Cloudflare Workflows now supports Python, enhancing AI pipeline orchestration capabilities.

Java Memory Troubleshooting Too Difficult? Alibaba Cloud OS Console Launches "Memory Diagnosis" New Tool

Alibaba Cloud has launched a Java memory diagnostic tool to resolve OOM issues.

Java Memory Troubleshooting Too Difficult? Alibaba Cloud OS Console Launches "Memory Diagnosis" New Tool

Alibaba Cloud has launched a Java memory diagnostic tool to resolve OOM issues.

Essential

New IBM Granite 4 Model Reduces AI Costs with a High-Efficiency Hybrid Mamba-2 Architecture

IBM introduces a low-cost, high-efficiency AI model, Granite 4.

New IBM Granite 4 Model Reduces AI Costs with a High-Efficiency Hybrid Mamba-2 Architecture

IBM introduces a low-cost, high-efficiency AI model, Granite 4.

Gathering Global Top Scientific Forces, Zhongguancun Two Academies Release the World's First Scientific Research Agent System, and Announce 2025 Frontline Technology Advancements and 2026 Major Breakthrough Predictions

Zhongguancun releases the OmniScientist research agent system and predicts 2025/2026 frontier technologies.

Report Finds: AI-Generated Code Will Trigger a New Wave of Technical Debt

Report warns that AI code generation will accelerate technical debt, requiring architectural governance and new security tools to address.

Report Finds: AI-Generated Code Will Trigger a New Wave of Technical Debt

Report warns that AI code generation will accelerate technical debt, requiring architectural governance and new security tools to address.

Fast Approaching 2026, Who Still Has Headaches with 'this'? This Article Will Take You from Confusion to Mastery

A guide to the JS `this` keyword, from principles to mastery.

Fast Approaching 2026, Who Still Has Headaches with 'this'? This Article Will Take You from Confusion to Mastery

A guide to the JS `this` keyword, from principles to mastery.

General

Drawing the Prototype Chain as a Subway Map: Understanding JS 'Inheritance' in Just 3 Stops

An explanation of JS prototype chain and inheritance mechanism

Drawing the Prototype Chain as a Subway Map: Understanding JS 'Inheritance' in Just 3 Stops

An explanation of JS prototype chain and inheritance mechanism

Say Goodbye to Vue Multi-Resolution Adaptation Woes: vfit Enables Smooth Cross-Device Positioning

vfit makes Vue 3 multi-resolution adaptation more user-friendly.

Say Goodbye to Vue Multi-Resolution Adaptation Woes: vfit Enables Smooth Cross-Device Positioning

vfit makes Vue 3 multi-resolution adaptation more user-friendly.

Primary

From Training Data, Code to Building Details: LLaVA-OneVision-1.5 Aims to Be 'Fully Open Source'

InfoQ - AI & LLM•Published on November 24

Insight•AI and Frontier Technologies•Score: 8/10

LLaVA-OneVisionMultimodal Large ModelFully Open SourceTraining DataQwen3

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Tech Insights

1. 'Fully Open Source' Practice: Not only model weights and code, but also training data (85M pre-training, 22M instruction), complete training toolchain, configuration scripts, logs, and evaluation commands are open, which is truly substantial and greatly lowers the threshold for community reproducibility and innovation. 2. Performance and Cost Balance: Claims to outperform Qwen2.5-VL, and an 8B scale VLM pre-training only requires 4 days and $16,000. If these cost-effectiveness figures are accurate, it's a boon for small and medium teams, meaning we have the opportunity to participate in the development and application of multimodal large models at a lower threshold in November 2025. 3. 'Concept Equilibrium' Data Sampling: By controlling the collision of vocabulary and image counts, it solves the problem of concept bias caused by traditional random sampling, which is a key detail in data quality improvement, worth in-depth study.

Source

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250. Hebei Factory Second-Generation Resists Price War: Twice Escaped Death, Three Years from Contract Manufacturing to Brand

Book Flips•Published on November 24

News•Comprehensive News•Score: 8/10

Price WarContract Manufacturing TransitionBrandingE-commerce OperationsInfluencer Sales

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Perspectives

"China's steel industry is in Hebei, and Hebei's steel is in Tangshan"—this is a true reflection of China's traditional manufacturing industry. Many 'factory second-generations' face massive transformation pressure and conceptual conflicts. This case proves that differentiated brand positioning and digital marketing (especially KOL/KOC strategies) are effective ways for traditional factories to break free from the price war trap. In my view, this 'small but elegant' brand breakthrough strategy is more worth paying attention to than the aggressive spending models of large internet companies. It reflects the vitality of local brands, but also warns us that the cost of e-commerce traffic will only continue to rise, and sustained brand storytelling and product innovation are the long-term solutions.

Source

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Performance Improvements in F# 10

InfoQ - Backend•Published on November 24

Insight•Software Architecture and Engineering Practices•Score: 8/10

F#Performance OptimizationCompiler ImprovementsLanguage Features

Source

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November 23, 2025

Global Vision•Published on November 23

News•General News•Score: 7/10

Solar FlareG20 SummitAI DevelopmentNeutrino ExperimentMarket Investment

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Tech Insights

Although this article is a collection of news, there are several points of interest for our team. First, the latest results from the Jiangmen Neutrino Experiment in China have improved accuracy by 1.5 to 1.8 times, which is a real advancement in the field of basic physics. Second, Russian President Putin personally ordered the advancement of AI development, emphasizing national sovereignty and even planning to build 38 new nuclear power plants to meet the energy demands of AI, which is not just empty rhetoric but a manifestation of national will. Lastly, the cooperation between Saudi Arabia and Tesla in AI infrastructure highlights the huge investment potential of the Middle East market. In my view, domestic AI companies should not only focus on the current competition but also consider the strategic plans at the national level and the diverse opportunities in the global market.

⚠️

Notable

1. The strongest solar flare of 2025 erupted 2. The G20 Summit opened in South Africa, with the United States boycotting it 3. The Indian Tejas fighter jet crashed at the Dubai Airshow 4. A 5.7 magnitude earthquake struck Dhaka, the capital of Bangladesh 5. An exhibition on the archaeological findings from the former Palace Manufacturing Office 6. The Stuttgart Pet Show in Germany 7. New discoveries about early universe black holes 8. Hong Kong's GDP grew by 3.8% in the third quarter 9. The 50th anniversary of the restoration of the Spanish monarchy 10. The Japanese government announced an economic stimulus plan 11. The first results from the Jiangmen Neutrino Experiment 12. The Riyadh Light Art Festival opened 13. A special exhibition on Rembrandt in France 14. The 2nd US-Saudi Investment Forum 15. Putin ordered the advancement of AI development

Source

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Cloudflare Workflows Adds Python Support for Persistent AI Pipelines

InfoQ - Cloud•Published on November 24

Insight•Cloud Computing and Backend•Score: 7/10

Cloudflare WorkflowsPython SupportAI PipelinePersistent ExecutionApplication Orchestration

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Tech Insights

1. Strategic significance of Python support: Cloudflare has finally caught up, and by this time in November 2025, Python's status in AI/ML and data engineering is unshakable. Native support for Python Workflows strengthens Cloudflare's competitiveness in AI pipeline and agent orchestration, which is a wise move in line with industry trends. 2. Persistent execution and retryability: Based on the Durable Objects architecture, workflows ensure state persistence and step-level retry capabilities. This is crucial for building highly reliable, long-running AI training or data processing pipelines, effectively reducing the need to restart from scratch due to transient failures. 3. 'Pythonic' development experience: Supporting asyncio.gather and Python decorators for defining DAGs indicates Cloudflare's effort to provide APIs that align with Python developers' habits. A good SDK can help developers avoid pitfalls and focus on delivering value.

Source

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Java Memory Troubleshooting Too Difficult? Alibaba Cloud OS Console Launches "Memory Diagnosis" New Tool

InfoQ - Backend•Published on November 24

Insight•Cloud Computing and Backend•Score: 7/10

Alibaba CloudJava Memory DiagnosisJNIMemory Leak

Source

Essential

New IBM Granite 4 Model Reduces AI Costs with a High-Efficiency Hybrid Mamba-2 Architecture

InfoQ - AI & LLM•Published on November 24

Insight•AI and Frontier Technologies•Score: 9/10

IBMGranite 4Mamba-2Hybrid ArchitectureAI Cost

Source

◆

Gathering Global Top Scientific Forces, Zhongguancun Two Academies Release the World's First Scientific Research Agent System, and Announce 2025 Frontline Technology Advancements and 2026 Major Breakthrough Predictions

InfoQ - AI & LLM•Published on November 24

Insight•AI and Emerging Technologies•Score: 9/10

research agentAI for Sciencefrontier technology predictionZhongguancunOmniScientist

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Tech Insights

In my view, the article's highlight is its clear proposal of the future vision of 'human-machine collaboration, carbon-silicon fusion', which is not just empty talk, but a 'strategic guidance' at the national level in the AI-powered research domain. Particularly, the 'OmniScientist' research agent system—if it truly achieves 'meta-science insight' and 'scholar digital twin', it would represent a structural upgrade in research productivity, shifting from a tool to a 'co-creation partner', which is worth in-depth study of its technical implementation path. Additionally, the 2025 AI field advancements of 'pure reinforcement learning triggering reflective reasoning' and 'test-time search based on post-training reinforcement learning' suggest key technological breakthroughs in model self-evolution and resource optimization, which are solid competitive advantages in the general large model domain. The AI prediction on DeFi risk quantification models and real-time financial AI monitoring precisely hits the core pain points of future fintech, signaling significant application potential in financial risk control.

⚠️

Notable

Every time I see 'world's first' such phrasing, my first reaction is: 'Is it really?' This self-proclaimed title needs solid data and influence to back it up, not just slogans from a launch event. The OmniScientist system sounds great, but the gap between 'assisting in full-process talent cultivation' and becoming a 'must-have co-creation partner' is vast, involving huge engineering and ecosystem challenges. This isn't just a technical issue, but also a matter of 'user mindset and habit cultivation'. Moreover, having Nobel Prize winners endorse the event may boost influence, but the accuracy of scientific predictions and the ability to deliver them ultimately depend on actual results, not on big names. These events often prioritize concepts over concrete product capabilities and openness, and how they integrate with existing research ecosystems. Don't end up with another 'facade project'—huge resource investment, but minimal real impact.

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Perspectives

From a market perspective, this release by Zhongguancun Two Academies is undoubtedly a signal of China's strength in the AI for Science domain. This platform, led by the 'national team' and gathering top academic resources, has its core competitiveness in 'resource integration' and 'data barriers'. This is both a challenge and an opportunity for startups. The challenge lies in the national team's access to a significant amount of top-tier research resources; the opportunity arises from the potential to spawn numerous niche collaboration demands, especially around its ecosystem and toolchains. In the short term, systems like OmniScientist may primarily serve national-level research institutions and key laboratories. However, in the long run, if it truly works, its technologies and paradigms may permeate broader research and industrial fields. For our product, we need to closely monitor its open strategy and API interfaces, to see if we can catch this 'free ride'. Additionally, the AI prediction in financial risk control reminds us that this area is already being targeted by the national team and leading enterprises, and the unoccupied market for startups is shrinking rapidly, requiring accelerated layout.

Source

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Report Finds: AI-Generated Code Will Trigger a New Wave of Technical Debt

InfoQ - AI & LLM•Published on November 24

Insight•Software Architecture and Engineering Practices•Score: 9/10

AI code generationtechnical debtarchitectural anti-patternscode securitygovernance

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Tech Insights

1. The "primary army" nature of AI code: Ox Security's report points out that AI is strong in functional implementation but systematically lacks judgment in architecture and security anti-patterns. This aligns with our team's observations in practice: AI is more like a highly efficient junior programmer, capable of writing code but lacking a global perspective and experience. 2. Technical debt growing exponentially: Ana Bildea identifies "model version confusion, code generation bloat, and organizational fragmentation" as factors causing technical debt to grow exponentially, which is a profound insight into traditional linear technical debt. I have personally witnessed teams whose code volume doubled in a year with AI assistance, but maintainability dropped sharply. 3. Focused solutions: The report emphasizes that humans should focus on product management, architectural decisions, and strategic oversight, and proposes the need for new development roles and autonomous security tools. This tells us that AI is not here to replace architects, but to allow us to focus on higher-value decisions.

Source

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Fast Approaching 2026, Who Still Has Headaches with 'this'? This Article Will Take You from Confusion to Mastery

Juejin Frontend Hottest•Published on November 23

Insight•Frontend Development•Score: 9/10

JavaScriptthis ReferenceBinding RulesArrow FunctionsFrontend Fundamentals

Source

General

Drawing the Prototype Chain as a Subway Map: Understanding JS 'Inheritance' in Just 3 Stops

Juejin Frontend Hottest•Published on November 22

Insight•Frontend Development•Score: 7/10

JavaScriptPrototype ChainInheritanceprototypenew Operator

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Perspectives

In today's era of rapidly evolving frontend frameworks, many believe that the underlying mechanics of native JS are no longer important, as frameworks have encapsulated them. However, I argue this is self-deception. Whether it's React's componentization, Vue's reactivity, or various state management libraries, their foundations rely on a deep understanding of JS objects and the prototype chain. Developers who claim to be 'proficient' in a framework but cannot distinguish between __proto__ and prototype often face troubleshooting difficulties when dealing with complex issues. I believe a team with a solid grasp of native JS fundamentals will have significantly more robust problem-solving and architectural capabilities compared to those who only focus on framework APIs. The popularity of this foundational article also reflects the ongoing market demand for solid fundamental knowledge, especially for engineers aiming to move from 'framework users' to deeper technical expertise.

Source

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Say Goodbye to Vue Multi-Resolution Adaptation Woes: vfit Enables Smooth Cross-Device Positioning

Juejin Frontend Hottest•Published on November 21

Insight•Frontend Development•Score: 7/10

Vue 3resolution adaptationvfitdata dashboardcomponentized positioning