This growth trajectory suggests that early adoption advantages in AIO will compound over time. Establishing strong AI visibility now, while competition remains relatively light, positions you favorably as usage explodes and competition intensifies. The content creators building AI authority today will have structural advantages over those who wait until AI search is fully mainstream and optimization becomes more competitive.
Airbnb didn’t buy houses. Uber didn’t buy cars. You just need to connect supply with demand. Build the platform, not the product, and scale without the cost.
，这一点在搜狗输入法下载中也有详细论述
It’s Not AI Psychosis If It Works#Before I wrote my blog post about how I use LLMs, I wrote a tongue-in-cheek blog post titled Can LLMs write better code if you keep asking them to “write better code”? which is exactly as the name suggests. It was an experiment to determine how LLMs interpret the ambiguous command “write better code”: in this case, it was to prioritize making the code more convoluted with more helpful features, but if instead given commands to optimize the code, it did make the code faster successfully albeit at the cost of significant readability. In software engineering, one of the greatest sins is premature optimization, where you sacrifice code readability and thus maintainability to chase performance gains that slow down development time and may not be worth it. Buuuuuuut with agentic coding, we implicitly accept that our interpretation of the code is fuzzy: could agents iteratively applying optimizations for the sole purpose of minimizing benchmark runtime — and therefore faster code in typical use cases if said benchmarks are representative — now actually be a good idea? People complain about how AI-generated code is slow, but if AI can now reliably generate fast code, that changes the debate.
Маргарита Щигарева
将 AI 硬件这个新品类，牢牢绑住 iPhone 这个生态完善、用户成熟的大船。