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ChatGPT Prompt Engineering in 3 Steps: The Ultimate 2026 AI Automation Guide from Zero to One
Introduction: When ChatGPT Prompt Engineering Becomes Hard Currency Folks, friends, fellow AI content creators—today we're diving into something substantial. I don't know if you've noticed, but in 202...
AI Side Hustle Monetization Guide: From Zero to $5K Monthly with 5 Success Case Studies
AI Side Hustle Monetization Guide: The Complete Path from Zero to ¥50,000 Monthly Income, with 5 In-Depth Success Case Studies To be honest, over the past two years, I've seen far too many people tal...
Hands-On Guide to Large Models: 5 Real-World Cases to Get You Started Fast, with Common Problem Solutions
Practical Guide to Large Model Development: A Real Path from Confusion to Proficiency Folks, have you been bombarded by the term "large models" lately to the point of questioning everything? 🤯 From C...
2026 AI Side Hustle Guide: Real Cases & Methods to Earn $7K/Month from Scratch
2026 AI Side Hustle Playbook: Real Cases and Methodologies from Zero to ¥50K Monthly Hey everyone! 👋 In this long read, I'm not going to feed you that fluffy "the future is here" nonsense. Let's get ...
AI Knowledge Monetization Best Practices: 5 Real-World Enterprise Automation Cases for 2026
Introduction: When Knowledge Payment Meets AI, an Efficiency Revolution Is Underway To be honest, among my peers in the knowledge payment industry this year, eight out of ten are feeling anxious. Cour...
An In-Depth Review by the Former COO of Zhipu AI: Deconstructing Five Common Pitfalls in Enterprise AI Implementation and Breaking the Deadlock of Stalled Deployment
Zhang Fan, former COO of Zhipu AI and founder of Yuanli AI, draws on extensive experience serving government and enterprise clients to identify five common pitfalls in corporate AI implementation: impressive demos that fail upon official launch; "bottomless pit" fully customized deliveries that derail projects; project initiation based on subjective, unrealistic expectations of returns; a focus on technical deployment while neglecting business process re-engineering; and AI projects getting stuck in pilot phases without achieving large-scale rollout. These issues stem from three fundamental misconceptions: general-purpose large models do not equate to enterprise business capabilities; technical feasibility does not guarantee commercial returns; and success in a localized pilot does not ensure replicability across the entire organization. To address this, he proposes a progressive implementation roadmap—moving from conversational assistants and business support tools to automated workflows, AI agents, and finally, business operating systems—emphasizing the need to refine reusable business templates before scaling up to a company-wide rollout.
Xu Li of SenseTime: AI billing will shift from tokens to tasks, establishing a new paradigm of inclusive AI.
SenseTime’s Xu Li: AI Billing to Shift from Tokens to Tasks, Establishing a New Paradigm for Inclusive AI At the main forum of the 2026 World Artificial Intelligence Conference, Xu Li, Chairman and CEO of SenseTime, delivered a keynote speech titled "Boundless Innovation and Bounded Safeguards: Inclusivity and Safety in AI Development." He put forward significant insights regarding the evolution of the AI industry, sparking widespread attention across the sector.
Genesis World 1.0 is officially open source! Our self-developed simulation platform significantly shortens robot testing cycles.
Genesis AI, which gained fame for its robot frying tomatoes and eggs, has opened up its self-developed simulation platform, which greatly reduces the time required for robot evaluation and makes the simulation data closely match the real machine, thus helping to commercialize physical AI technology.
Meituan Open-Sources LongCat-2.0, a 1.6-Trillion-Parameter MoE Model; Full-Stack Execution on Domestic Computing Hardware Successfully Achieved
Meituan has officially open-sourced LongCat-2.0, a massive MoE model with 1.6 trillion parameters. This release achieves end-to-end training and inference deployment on a domestic computing cluster comprising 50,000 GPUs, thereby breaking reliance on overseas computing power. The announcement details LongCat-2.0's technical highlights, performance advantages, and industry value.
The Rise of the "Vibe Coding" Wave: Ordinary People Can Independently Develop Full-Fledged Software Without Coding Skills
The "Vibe Coding" wave is here: ordinary people can now independently create websites and utility software using AI—simply by describing their requirements in natural language—without needing to master any actual code. This article explains the underlying principles, available tools, and real-world implementation examples.
Anthropic's valuation has reached $965 billion, surpassing OpenAI for the first time.
The AI industry is undergoing a seismic shift as Anthropic’s post-investment valuation climbs to $965 billion, surpassing OpenAI for the first time. Its Claude Opus 4.8 model has reached the pinnacle of reasoning capabilities, while Claude Code captures over half the code-focused AI market with $6.3 billion in annual revenue; this analysis delves into the company's three core strengths: capital, technology, and commercialization.
OpenAI's GPT-5.6 series preview remains in internal testing, with proprietary inference chips set for mass production by year-end.
OpenAI is officially advancing the limited beta testing of its GPT-5.6 model series and has announced a partnership with Broadcom to co-develop "Jalapeño," a dedicated inference ASIC. The project targets tape-out within nine months and large-scale deployment by the end of 2026, aiming to slash inference costs by 50% and effectively completing the company's vertically integrated strategy combining models and chips.