根据惠普官方发布的信息，公司在个人系统业务（Personal Systems）上表现突出，营收达到 103 亿美元，同比增长 11%，其中消费端与商用端均实现两位数或接近两位数的增长，AI PC 的持续放量被视为推动因素之一。
顺带一提，在各家都在普及 1.5K 屏以换取续航的今天，S26 Ultra 依然坚守着 2K 分辨率。不过为了塞下更复杂的传感器，前置挖孔的面积相比上一代变大了些，位置也略微下沉。那些高喊着「无 2K 不旗舰」的硬核玩家，在 2026 年几乎只剩下这一个选择了。
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I then added a few more personal preferences and suggested tools from my previous failures working with agents in Python: use uv and .venv instead of the base Python installation, use polars instead of pandas for data manipulation, only store secrets/API keys/passwords in .env while ensuring .env is in .gitignore, etc. Most of these constraints don’t tell the agent what to do, but how to do it. In general, adding a rule to my AGENTS.md whenever I encounter a fundamental behavior I don’t like has been very effective. For example, agents love using unnecessary emoji which I hate, so I added a rule:
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However, Tolley points out that humans don't move the way fans spin, at all. "We want to be able to lift things, and push things, and do things that require a lot of force and torque."