Why this CEO thinks video games make better training data than the internet
Why this CEO thinks video games make better training data than the internet
为什么这位 CEO 认为电子游戏比互联网更适合作为训练数据
When it comes to achieving artificial general intelligence (AGI), large language models just don’t have what it takes. Models like ChatGPT and Claude are great at text, but they’re less skilled at understanding how things actually move through space and time — an essential skill for producing intelligence that generalizes. 在实现通用人工智能（AGI）方面，大型语言模型（LLM）的能力还远远不够。像 ChatGPT 和 Claude 这样的模型虽然擅长处理文本，但在理解物体如何在时空中实际运动方面却显得力不从心——而这正是产生通用智能所必需的核心技能。
That gap, it turns out, might be filled by gaming data. That’s the bet behind General Intuition, a Bezos-backed, New York-based startup valued at $2.3 billion that just closed a $320 million round with Coatue, Eric Schmidt, and researchers at MIT and Google DeepMind joining its list of investors. 事实证明，游戏数据或许能填补这一空白。这正是初创公司 General Intuition 的核心赌注。这家总部位于纽约、由贝索斯（Bezos）支持的公司估值已达 23 亿美元，最近刚刚完成了 3.2 亿美元的融资，投资方包括 Coatue、埃里克·施密特（Eric Schmidt）以及来自麻省理工学院（MIT）和 Google DeepMind 的研究人员。
On this episode of TechCrunch’s Equity podcast, General Intuition CEO Pim de Witte joins Rebecca Bellan to dig into why world models trained on gaming data might be the next big leap in physical AI, how the company spun out of gaming platform Medal TV, and where the ethical red lines are when your models could end up being used for defense applications. 在本期 TechCrunch 的《Equity》播客中，General Intuition 的首席执行官 Pim de Witte 与 Rebecca Bellan 共同探讨了为何基于游戏数据训练的世界模型可能是物理人工智能（Physical AI）的下一个重大飞跃，该公司是如何从游戏平台 Medal TV 中拆分出来的，以及当模型可能被用于国防应用时，其道德红线究竟在哪里。