OpenAI？杨植麟的答案 是
tech
vision，⼀号位要能做出技术判断，同时还能拍板执⾏。⼀个具体的例⼦是，⽉之暗⾯希望⽐
OpenAI
更关⼼⽤⼾，原因是杨植麟判断⽤⼾数据的
scale
up
的效果最终会超越
base
model
⾃⾝。
杨植麟对于⽤
transformer
这个概率模型的思想基础⾛向
AGI
也很有信⼼，⽤他的话说“如果你有
10
亿的
contex 来可能会去“吃”⽤⼾这个数据源的
scaling
law。
历史上基本所有的互联⽹产品要跑出来，最终都要靠⽤⼾数据的
scale。今天
MidJourney
已经能看到 ⼀些迹象，它通过“吃”⽤⼾的
scaling
law
可以胜过
base
model
的
scale
up，但如果只看语⾔模型 和⽂本，base
model
的
scaling
效果仍然远远超过⽤⼾的，但我认为最终会转移到⽤⼾的
scaling
这也是每⼀个AI-Native
产品现在最值得思考的问题之⼀。所以，⼀个不⾜够关⼼⽤⼾的公司最终可能 也没法实现
AGI。

海外独⻆兽：怎么看
MoE？有⼀种说法是
MoE
不是真正的
scale
up，只有
scale
up
dense
model
才会提升模型的能⼒。 杨植麟：你可以认为带
MoE
和不带
MoE
是两条
scaling
law。本质上
scaling
law
刻画的是
loss
跟参

is accelerating. In the past two decades, the primary market investment layout in the investment scale and financing events are continuing to rise. According to incomplete statistics, the global open take the server out of application development, leaving the cloud provider to build, maintain and scale the server infrastructure, while developers can package code into containers for deployment. The 2. the work is not replicable, deployments/integrations are not scalable, inability to grow at scale; 3. Customer conversion rates are low, typically converting less than 1% of users into paying

should remain lowercase (or camelCase) should be protected: title = {Spin Wave Dispersion on the {nm} Scale} Though this is not necessary in bibtex/biblatex, it is necessary with citeproc, which stores titles converted to title case using this syntax: Spin wave dispersion on the nm scale Conference Papers, Published vs. Unpublished For a formally published conference paper, use the

万张图像，这些图像分为超过 2 万个类别，每个类别都与 WordNet 中的一个词条对应。每个类别的图像数量从数百到数千不等。ImageNet 每年都会举办一个大型 的视觉识别竞赛，即 ImageNet Large Scale Visual Recognition Challenge(ILSVRC)。该 竞赛吸引了全球众多研究团队参与，并在推动深度学习和卷积神经网络（CNN）技术的发展中 发挥了重要作用。今年的诺贝尔物理学奖得主之一 210-219 [20] Jia Deng, Wei Dong, Richard Socher, Li-Jia Li, Kai Li, Li Fei-Fei. ImageNet: A large-scale hierarchical image database. CVPR 2009. [21] Roger Espasa. All-in-One RISC-V AI compute engine, RISC-V

顶尖人工智能提供商，共同参与对生成式人工 智能系统的公开安全评估。 AI Village组织方将这个合作活动描述为“有史 以来规模最大的人工智能模型红队演习”。将 有数千人参与对公共人工智能模型的评估，期 间使用的评估平台由Scale AI负责开发。 近日，微软发布了一个补丁，用于修复Secure Boot绕过漏洞。在2023年1月份，微软释出补 丁修复了编号为CVE-2022-21894的漏洞，但 攻击者很快找到了绕过方法。本次释出的补丁

Transformations (such as moving, scaling, rotating) are easy thanks to the two-way arrows. To scale (change the size of) an object: click on it to select it; position the mouse over a two-way arrow

the two-way arrows. Click the selection a second time to access skew and rotating functions. To scale (change the size of) an object: click on it to select it; position the mouse over a two-way arrow

Transformations (such as moving, scaling, rotating) are easy thanks to the two-way arrows. To scale (change the size of) an object: click on it to select it; position the mouse over a two-way arrow

selection. Transformations (such as moving, scaling, rotating) are easy thanks to the two-way arrows. To scale (change the size of) an object: • click on it to select it; • position the mouse over a two-way

selection. Transformations (such as moving, scaling, rotating) are easy thanks to the two-way arrows. To scale (change the size of) an object: • click on it to select it; • position the mouse over a two-way