In the meantime, the lack of an app not only limits what you can do with the headphones in terms of firmware updates or personalization, but it also means that iPhone users lose out on Auracast. As of Android 13, Auracast Assistant functionality is available on some handsets (e.g., Samsung Galaxy S23 and newer, Google Pixel 8 and newer), but Apple has never directly supported it and hasn’t provided any clues as to when or if that will change.
Данные действия были представлены как ответ на продолжительную массированную атаку украинских вооруженных сил по регионам России. В ночь на 22 марта за пятичасовой период над российскими территориями было уничтожено 97 беспилотников.
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Дополнительные международные бренды одежды начали уход с российского рынка14:51
Количество пострадавших превысило двадцать человек, из которых не менее четырех находятся в тяжелом состоянии. Подозреваемый задержан правоохранительными органами, в настоящее время устанавливаются обстоятельства произошедшего.
A key practical challenge for any multi-turn search agent is managing the context that accumulates over successive retrieval steps. As the agent gathers documents, its context window fills with material that may be tangential or redundant, increasing computational cost and degrading downstream performance - a phenomenon known as context rot. In MemGPT, the agent uses tools to page information between a fast main context and slower external storage, reading data back in when needed. Agents are alerted to memory pressure and then allowed to read and write from external memory. SWE-Pruner takes a more targeted approach, training a lightweight 0.6B neural skimmer to perform task-aware line selection from source code context. Approaches such as ReSum, which periodically summarize accumulated context, avoid the need for external memory but risk discarding fine-grained evidence that may prove relevant in later retrieval turns. Recursive Language Models (RLMs) address the problem from a different angle entirely, treating the prompt not as a fixed input but as a variable in an external REPL environment that the model can programmatically inspect, decompose, and recursively query. Anthropic’s Opus-4.5 leverages context awareness - making agents cognizant of their own token usage as well as clearing stale tool call results based on recency.