这是月之暗面“模型即Agent”的逻辑。目前，绝大多数Agent产品的智能上限仍由模型能力决定，只有拥有强大、可控、具有上下文和复杂推理能力的自研基座模型，才能支撑起用户理想中的“Agent”，而这也更符合Kimi长期聚焦长文本的优势。
GC thrashing in SSR: Batched chunks (Uint8Array[]) amortize async overhead. Sync pipelines via Stream.pullSync() eliminate promise allocation entirely for CPU-bound workloads.
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Фото: Maksim Konstantinov / Globallookpress.com
Rolling out this week, WIRED’s journalistic commissions on technological decommissions—from broken-down electric cars to falling-down space stations.