Only the iPhone Air, iPhone 17 Pro, and the iPhone 17 Max will have all the fixings, like more varied voice options. As for the rest of the lineup: Every iPhone 16 and iPhone 17 model will be able to run the new Siri, while only the iPhone 15 Pro and Pro Max will be compatible.
大多数人认为苹果会通过软件更新让所有兼容设备都能获得完整的AI功能，但作者指出苹果将Siri AI的完整功能限制在特定高端机型上，这挑战了苹果过去通过软件更新让旧设备获得新功能的传统做法。这种策略暗示了AI功能可能与硬件限制紧密相关，而非纯粹的软件升级。
More generally, OpenAI and its competitors are interested in custom silicon because it's another way to potentially squeeze out more capacity amid a global compute crunch, as competing companies scramble for limited data center capacity.
计算资源短缺是AI行业面临的核心挑战之一。初学者应认识到专用芯片不仅是性能优化，更是应对计算资源限制的战略选择。了解不同工作负载下的硬件权衡对于资源规划至关重要，特别是在预算有限的情况下。
Apple revealed that all devices from the iPhone 11 onward will be eligible for their upcoming software update. And that update comes with a flurry of performance improvements it's touting across a number of its OS releases this year
大多数人认为苹果会通过新系统更新淘汰较旧设备以刺激硬件销售，但苹果却选择支持5年前的iPhone 11，并承诺显著性能提升。这与苹果通常推动用户升级硬件的策略相悖，表明苹果在软件支持策略上更加用户友好，而非纯粹的商业驱动。
Nvidia ARM-based Windows devices have been tried before — and failed. Back in 2013, Microsoft famously had to write off $900 million on its Nvidia ARM-based Surface RT
大多数人认为Nvidia在ARM架构上的Windows设备尝试已经失败，历史不会重演，但作者暗示这次Nvidia的RTX Spark芯片是'一个完全不同的野兽'，更强大而非更弱小，挑战了人们对ARM架构Windows设备失败的固有认知。
We have signed a new agreement with Amazon that will deepen our existing partnership and secure up to 5 gigawatts (GW) of capacity for training and deploying Claude
大多数人认为AI公司主要依赖通用GPU芯片训练模型，但Anthropic与Amazon的合作表明他们正大规模采用专用AI芯片(Trainium)，这挑战了行业对通用芯片依赖的主流认知。5GW的容量远超大多数AI公司的规模，反映了专用芯片在AI训练中的经济性和效率优势正在被重新评估。
Chinese labs, for their part, are not purely idealistic: Open-source is not only free advertising but also a shrewd workaround. Without access to cutting-edge chips restricted by US export controls, releasing models openly accelerates the cycle of external feedback and contributions that compensates for constrained compute.
大多数人认为中国开源AI是出于理想主义或技术自信，但作者认为这实际上是一种战略性的 workaround（变通方法）。由于无法获得美国限制出口的高端芯片，中国通过开放源代码来加速外部反馈循环，弥补计算能力的不足，这是一种务实而非理想主义的策略。
We train and run Claude on a range of AI hardware—AWS Trainium, Google TPUs, and NVIDIA GPUs—which means we can match workloads to the chips best suited for them.
大多数人认为AI公司会依赖单一硬件供应商以获得最佳性能，但Anthropic采用多平台策略，挑战了行业共识。这种多元化方法虽然增加了复杂性，但提供了更好的性能和弹性，暗示了AI计算的未来可能更加分散而非集中。