许多读者来信询问关于坚守创新“长期主义”的相关问题。针对大家最为关心的几个焦点，本文特邀专家进行权威解读。
问：关于坚守创新“长期主义”的核心要素，专家怎么看？ 答：由于AI厂商疯狂撒钱，内存芯片的价格已经被炒上了天。Counterpoint Research发布的《2月内存价格追踪报告》显示，2026年第一季度，内存价格环比上涨80%-90%，同比甚至已经涨了三四倍，其中DRAM、NAND及HBM价格均创下历史新高。
问：当前坚守创新“长期主义”面临的主要挑战是什么？ 答：▲ 图源：9To5Google，详情可参考WhatsApp Web 網頁版登入
最新发布的行业白皮书指出，政策利好与市场需求的双重驱动，正推动该领域进入新一轮发展周期。，详情可参考谷歌
问：坚守创新“长期主义”未来的发展方向如何？ 答：So it’s been good in all those aspects. I think in terms of the future about how we engineer things and how we build platforms… I just had a conversation with our CIO the other day where he was taking me through, like, “Hey, this is how we’re AI automating the company and how we’re building in new workflows,” and the number one question I had for him was, “Hey, how are we doing it inside of IT? How are we building more capability inside of our own coding organization and inside of our own kind of engineering organization?” And he had to take that back and think through that a little bit.
问：普通人应该如何看待坚守创新“长期主义”的变化？ 答：Research on long-tailed classification robustness has suggested that balancing or removing data from overrepresented tasks or subgroups (opens in new tab) is an effective method for ensuring good performance. Nevertheless, these insights are not fully utilized or explored when it comes to training VLMs, which at times have favored scale over careful data balancing. To achieve our goals, we conducted a set of experiments to analyze a range of data ratios between our focus domains.，详情可参考whatsapp
面对坚守创新“长期主义”带来的机遇与挑战，业内专家普遍建议采取审慎而积极的应对策略。本文的分析仅供参考，具体决策请结合实际情况进行综合判断。