Crucially, this distribution of border points is agnostic of routing speed profiles. It’s based only on whether a road is passable or not. This means the same set of clusters and border points can be used for all car routing profiles (default, shortest, fuel-efficient) and all bicycle profiles (default, prefer flat terrain, etc.). Only the travel time/cost values of the shortcuts between these points change based on the profile. This is a massive factor in keeping storage down – map data only increased by about 0.5% per profile to store this HH-Routing structure!
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“Video Games are Borderline” (Rika Kayama)
在视频中，周意保展示了从水中取出的真机，正面与侧面几乎看不到折痕。他表示「出厂浅不是真的浅，久用浅才是真的浅」，强调折叠屏核心难题在于长期折叠后的结构稳定性。
Numerous companies are rushing to move into the space for AI agents, particularly following the viral popularity of OpenClaw, an open-source AI agent harness that can be used with any AI model as the underlying “brain.” Following the explosive usage of OpenClaw, Perplexity in late February debuted an agentic AI system called Computer, which is a cloud-based system that orchestrates 19 different AI models to execute complex workflows. Microsoft has also launched Copilot Tasks, which is a similar AI agent and harness product. Meanwhile, OpenAI hired Peter Steinberger, the independent developer who built OpenClaw, although OpenClaw itself will continue to be run as an open source project under the auspices of a foundation Steinberger set up.