DeepMind engineer refutes claim Google lacks leading models: Gemini 3.8 Cyber outperforms Mythos in tests
DeepMind 工程师反驳“谷歌搞不出前沿模型”：Gemini 3.8 Cyber 已在多项测试中优于 Mythos
For those interested in the latest advancements in cybersecurity AI, this story provides a direct comparison between two leading models, showing that Google's Gemini 3.8 Cyber is considered superior to Anthropic's Mythos in specific tests.
AI researcher Ethan Mollick claimed Google no longer has leading models, signaling a shift in its focus.
DeepMind engineer Logan Kilpatrick responded, stating that Gemini 3.8 Cyber has surpassed Anthropic's Mythos in multiple cybersecurity tests and practical applications.
The model is already in use by Google's Chrome, Wiz, and Cloud teams.
DeepMind 工程师反驳“谷歌搞不出前沿模型”：Gemini 3.8 Cyber 已在多项测试中优于 Mythos
IT之家 9 月 10 日消息，AI 研究员伊森 · 莫利克（ Ethan Mollick ）今日在 X 平台发文称，谷歌已不再拥有前沿模型，这代表着谷歌将措施数学领域，以及网络安全领域。 谷歌 DeepMind 工程师洛根 · 基尔帕特里克（ Logan Kilpatrick ）对此反驳称， Gemini 3.8 Cyber 在许多网络安全测试、实际应用能力已经超过 Anthropic 的 Mythos 。谷歌内部的 Chrome、Wiz 和 Cloud 团队已经广泛使用该模型。 IT之家注意到，该工程师还进一步表示：“我们的重点是让越来越多的网络安全防御人员拥有更强能力。Gemini 4 系列模型将继续推动前沿网络安全模型发展。”
This report is categorized under AITOP's "Models" desk, focusing on US frontier AI labs and Silicon Valley technology leaders. Within our cross-regional analytical framework, it directly maps to US-China foundation model benchmarks and commercialization comparison. Key entities and technical topics under continuous tracking include Gemini 3.8 Cyber, Mythos, DeepMind, Google.
Source attribution: curated from IT之家. Cross-source corroboration: 11 independent sources have covered this development (including The Rundown AI, Decoder, arXiv: Anthropic), confirming industry-wide signal strength.
