A/B Testing

AI ‘Style Skills’ Are Dead. Here’s What’s Actually Replacing Them.

As base AI models master reference-image transfer, standalone ‘style Skills’ are becoming obsolete. The real value isn’t in generating a visual style anymoreโ€”it’s in packaging a complete, repeatable design system. We tested GPT, Doubao, and Qwen to find out why Skills are dying as shortcuts, but being reborn as creative assets.

The ’10x Cheaper’ AI Model Isn’t a Breakthrough. It’s Proof You’re Being Overcharged.

Everyone is celebrating open-source models like Laya for being 10x cheaper and 2x faster than incumbent LLM APIs. But the real story isn’t a scientific breakthroughโ€”it’s an indictment of Big Tech’s absurd margins. When ‘just BERT with more data’ is enough to undercut you, you weren’t selling intelligence. You were selling convenience at a 1000% markup.

The ‘One Person + AI Kills a Company’ Myth is a Dangerous Lie

Everyone is obsessed with the myth that one person plus an AI Agent squad can replace an entire company. It’s dangerous nonsense. The truly scarce asset isn’t someone who knows how to use AI, but someone who can design the three-layer protocols for human-machine collaboration. In the next five years, trust will be scarcer than compute.

“Learning AI” Is a Lie. The Real Moat Is Something Else Entirely.

The fear of AI replacing you is a distraction. The real urgency is recognizing that we’ve entered the Token Era, where every AI interaction costs money and demands real value. Stop patching old workflows and start building self-evolving systems. The ultimate competitive moat isn’t your AI toolsโ€”it’s the ownership of your operational data trail and your presence in generative search.