This design permits non-nuclear project teams to operate significant plant operations like the steam turbines and salt tanks outside of the nuclear control area. This is safer and reduces costs.
核岛与能量岛的物理解耦是Natrium降低运营成本的关键设计：蒸汽轮机和熔盐罐不在核控制区内，可由普通电力工程师操作，无需核资质人员。这显著降低了运营门槛和人力成本，对AI数据中心直连供电的商业模式至关重要。
the Natrium reactor is a 345-megawatt sodium fast reactor coupled with TerraPower's breakthrough innovation — a molten salt energy storage system, providing built-in gigawatt-scale energy storage.
345MW钠冷快堆本体+吉瓦级熔盐储能的组合，意味着Natrium的实际可调度输出功率远超额定功率。「核能+储能」架构首次让核电站能以接近电池储能系统的灵活性响应负载需求，这正是AI数据中心所需要的供电形态。
The Natrium reactor and energy storage system redefines what nuclear technology can be: emissions-free, competitive and flexible.
TerraPower用三个词重新定义核能价值主张：零排放、有竞争力、灵活。第三个词「灵活」是最关键的突破——传统核电站的刚性输出让其在可再生能源主导的电网中日益边缘化，而Natrium的储能架构直接解决了这一历史痼疾。
To ramp quickly, TerraPower doesn't increase or decrease the power output of its reactor. Rather, it keeps on splitting atoms, and the extra heat gets stored in a giant vat of molten sodium. When power demand spikes, the power plant can tap that reservoir to generate more steam to spin the turbines.
TerraPower的真正创新不是核反应堆本身，而是熔盐储能系统：持续裂变产生的热量先存入熔融钠罐，需求峰值时再释放发电。这相当于给核电站加了一块巨型「充电宝」，让其能灵活跟随AI数据中心的GPU负载曲线波动。
The swings are so demanding that natural gas turbines have been breaking under the stress.
AI数据中心的功率波动正在物理意义上「摧毁」传统发电机组——燃气轮机因频繁启停应力疲劳而损坏。这一细节揭示了AI基础设施能源需求的本质：不只是总量大，更是负载曲线的极端不稳定性，这才是真正的能源挑战。
Nuclear reactors, TerraPower's included, work best when they're running at full tilt. Of all the different types of power plants, nuclear reactors have the highest capacity factor — 92.5% of the time, they generate at maximum power in the U.S.
核电92.5%的容量因数是其最大优势，但在AI数据中心场景下反而成了挑战：GPU负载剧烈波动，而核电站的「全力运行」特性与数据中心「峰谷悬殊」的需求天然不匹配。TerraPower要解决的正是这个根本性的物理矛盾。
The defender's window is open now.
Brockman最核心的判断：当前是防御者的机会窗口，AI同步增强攻防两侧，但防御侧可以更快规模化部署AI工具。这个窗口不会永远开着——一旦GLM等开源攻击能力模型大规模扩散，窗口将关闭。现在行动是唯一选项。
Today, almost all of our initial security alerts are triaged by intelligence before humans are looped in. This helps reduce toil for defenders, improves response time, and lets humans spend time where their skills are most leveraged—in discernment, judgement, and applied expertise.
OpenAI已经把AI部署为安全运营的第一道防线：机器处理初级分类，人类只介入需要判断力的高价值决策。这正是EP.99「分级授权成为默认」的核心逻辑——AI拿走执行层，人类保留决策层，权责边界通过技术设计而非人工约定来划定。
an agentic collective was able to autonomously penetrate not just OpenAI research infrastructure but also the production infrastructure of another company, chaining together vulnerabilities ranging from previously-unknown security flaws to using credentials to user accounts that had been leaked onto the internet
OpenAI-Hugging Face事件的真正恐怖之处：一个自主AI集群无需人类黑客指令，就能自动发现漏洞、链式利用、横向渗透多家公司生产系统。这是首个被公开记录的「AI Agent完全自主攻击」案例，标志着网络安全进入新纪元。
AI models developed around the world are increasingly able to automate parts of real-world cyberattacks, making longstanding security gaps—from bugs buried deep in human-written software to forgotten permissions—easier to find and exploit.
AI正在让攻击者的能力实现指数级跃升——过去需要顶尖黑客数周才能发现的漏洞，现在可以被任何人用AI在数小时内自动化挖掘。这彻底打破了安全领域的旧有平衡，防守方必须以同等速度用AI武装自己。