跳到主内容
@wquguru
精选75Ars Technica AI(RSS)模型发布/更新多源精选 ×10

Gemini 4 Argon 开始向付费用户推送

Gemini 4 Argon begins rolling out in Gemini app and Antigravity, but only if you pay

原文
发到 X

Google revealed Gemini 4 Argon a few weeks ago, saying that it needed to move cautiously toward a full release because of the potential for nefarious use. Google seems to have worked all that out pretty quickly, though. Argon is beginning its wide rollout today, but it's only coming to paying users at this time, and even those on lower-tier plans won't have full access.

几周前,谷歌发布了 Gemini 4 Argon,并表示由于存在被恶意使用的风险,需要谨慎推进全面发布。不过,谷歌似乎很快解决了这些问题。Argon 今天开始大规模推广,但目前仅面向付费用户开放,即使是较低层级计划的用户也无法获得完整访问权限。

Nothing about Gemini 4 Argon's capabilities has changed. Google still points to the benchmarks it published late last month as evidence of the model's advanced reasoning and agentic coding capabilities. The model has allegedly been carefully trained to refuse malicious instructions, and there's an automated misalignment monitor that can stop processing if it detects an unintended workflow. Google claims Argon needs that because it's so capable.

Gemini 4 Argon 的能力并未发生任何变化。谷歌仍引用其上月末发布的基准测试数据,作为该模型具备高级推理能力和智能体编程能力的证据。据报道,该模型经过精心训练,能够拒绝恶意指令;此外还配备了一个自动不对齐监控器,一旦检测到非预期工作流即可停止处理。谷歌声称,Argon 之所以需要这些机制,是因为其能力过于强大。

The company does have a few new examples of how Argon has helped inside Google, where it has been used by thousands of Googlers. Argon has reportedly been instrumental in making YouTube's comment system more efficient. Argon identified redundant emoji rendering that, when eliminated, dropped server load by 45 percent. Engineers also turned Gemini 4 loose on the proprietary drone physics simulator used in Project Wing, and the AI found critical bugs that had been in the codebase since 2018. Google also notes that Argon has advanced its robotics program, showing a measurable step increase in embodied reasoning.

该公司确实提供了一些新案例,展示 Argon 如何在谷歌内部发挥作用,已有数千名谷歌员工使用了它。据报道,Argon 在提升 YouTube 评论系统效率方面发挥了关键作用。Argon 识别出冗余的 emoji 渲染问题,消除该问题后服务器负载降低了 45%。工程师还将 Gemini 4 应用于 Project Wing 项目中专有的无人机物理模拟器,AI 发现了自 2018 年以来一直存在于代码库中的关键漏洞。谷歌还指出,Argon 推动了其机器人项目的发展,使具身推理能力实现了可衡量的显著提升。

Read full article

阅读全文

Comments

评论

更进一步:量化金融体系

看懂新闻只是起点——沿量化金融路径,把它变成能交付的工程能力

进入量化体系 →

关联讨论

同一事件的更多信源

相似阅读

关联信息,但可能不是同一事件