All of these tests performed far better than what I expected given my prior poor experiences with agents. Did I gaslight myself by being an agent skeptic? How did a LLM sent to die finally solve my agent problems? Despite the holiday, X and Hacker News were abuzz with similar stories about the massive difference between Sonnet 4.5 and Opus 4.5, so something did change.
"The entire sequence of Artemis flights needs to represent a step-by-step build-up of capability, with each step bringing us closer to our ability to perform the landing missions. Each step needs to be big enough to make progress, but not so big that we take unnecessary risk given previous learnings."
，这一点在下载安装 谷歌浏览器 开启极速安全的 上网之旅。中也有详细论述
但事实证明，把问题简化为“钱给不够”显然低估了顶级大牛的野心。到了庞若鸣这个级别，年薪过亿的数字差异，可能远不如“跟谁共事”和“追求哪个方向”来得重要。OpenAI这种自带使命感的吸引力，从来就不只是靠薪水堆出来的。而且人才争夺从来不是单向的。为了反击，扎克伯格曾试图从OpenAI挖人时开出1亿美元的签约奖金。这场没有硝烟的人才争夺战，早已超出了普通商业逻辑的范畴。，这一点在91视频中也有详细论述
问题在于，具身智能没有大模型那样的数据体量去覆盖所有光照变化。但换个思路，如果模型能关注局部信息——比如只锁定每瓶水的外观特征，而不关心背景、光线、桌子颜色——就能避免被全局变化干扰。这正是我们做“热力图”的出发点：让模型聚焦操作对象本身，而不是整个画面。