2025年3月,在巩固拓展脱贫攻坚成果同乡村振兴有效衔接5年过渡期的最后一年,习近平总书记在贵州、云南考察时进一步强调:“脱贫的兜底必须是固若金汤的,绝对不能出现规模性返贫致贫。”
The government rejected the claims, with a spokesperson saying it had already introduced "some of the strongest online safety protections in the world".
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Ранее Шура поддержал артистку Ларису Долину, столкнувшуюся с критикой из-за истории с продажей квартиры под влиянием мошенников. Он заявил, что критика в адрес певицы необоснованна, поскольку общественность не знает всех обстоятельств произошедшего.
针对复杂同步任务,DataWorks 将单个实例的 CDC 流拆分为多个子任务,并通过 Pk Shuffle 机制实现数据分发,支持多表、多库并行处理。例如,MySQL 实例下的多个 DB 可独立调度,提升整体并发度,降低端到端延迟,满足高负载业务场景需求。
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.