Google首播旗舰 Gemini 4 碳模型与网络安全升级
Google LLC今天首发Gemini 4 Carbon，是一个前沿大型语言模型adept在复杂的编程任务中。
LLM在搜索仅仅两周后即推出它之前的旗舰LLM,Gemini 4 Argon. Google表示，内部测试显示Carbon在生成安全代码方面有两倍以上的能力。 此外，该模型的性能超过了GPT-6 Astra和Claude Opus 5.5，跨越多个基准测试。
Carbon最显著的基准测试成绩是其在人工分析智能指数上的纪录分数。 这个测试结合了超过十七个受欢迎的LLM评价。 Google在今天公开的发布指数新版本上测试了Carbon. 它包括另外两个基准测试，并删除了一些饱和问题，对于前沿模型来说，这些问题被认为过于简单。
碳在网络安全任务中尤为adept. 它巧妙地击败了之前在SEC-bench Pro上的纪录，该记录评价了LLMs在复杂软件系统中寻找弱点的能力。 该模型在补补其弱点发现时也优于其前身。
" Chrome团队报告说，Carbon在生成高质量补丁时，比另一个实验室的大型前沿模型做得更好，" Koray Kavukcuoglu, Google DeepMind和Google首席人工智能建筑师的资深副总裁，在博客文章中写道：
公司前旗舰LLM的Argon包括了旨在缓解幻觉和网络攻击的护栏。 Google实施了Carbon中该功能集的改进版。 据该公司称，一些在“直播编码环境中”使用Carbon的内部团队报告，错位警报下降近80%。
当LLMs奋力回答用户的问题时，他们有时会通过幻觉不准确的信息来填补自己的知识空白。 Google为避免这种行为配置了Carbon.
Kavukcuoglu写道，“在我们的内部测试中，“它直接向交付品提出方法上的告诫，或扣压被封锁的行动，明确列出仍然需要什么，而不是围绕缺失的证据捏造或套用。”
在培训一个模式时，协调问题也会出现。 开发者训练前沿LLMs，给他们大量任务，LLMs有时会欺骗这些任务，这不利于学习过程。
Google测试了Carbon是否会使用快捷键解决终端-Bench 4.0 基准测试中的编码难题。 该模型试图欺骗只涉及0.4%的问题，没有一次尝试成功。 碳在Gray Swan IPI 基准测试上表现更出色，它测试了LLMs对间接提示词注入的易感性。 该模型封锁了所有模拟提示词注入。
该公司本周晚些时候将通过Fairwind Program提供Carbon，参与者利用模型弥补其系统中的网络安全缺陷。 Google计划根据早期收养者的反馈完善Carbon的护栏，然后广泛提供。
图片：Google
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Google debuts flagship Gemini 4 Carbon model with cybersecurity upgrades
Google LLC today debuted Gemini 4 Carbon, a frontier large language model adept at complex programming tasks.
The LLM is rolling out just two weeks after the search introduced its previous flagship LLM, Gemini 4 Argon. According to Google, internal tests have shown Carbon to be more than twice as good at generating secure code. Additionally, the model outperforms GPT-6 Astra and Claude Opus 5.5 across multiple benchmarks.
Carbon’s most notable benchmark result is its record score on the Artificial Analysis Intelligence Index. It’s a test that combines more than a half-dozen popular LLM evaluations. Google tested Carbon on a new version of the index that was publicly released today. It includes two additional benchmarks and removes a number of saturated questions, questions deemed too easy for frontier models.
Carbon is particularly adept at cybersecurity tasks. It handily beat the previous record on SEC-bench Pro, which evaluates LLMs’ ability to find weak points in complex software systems. The model is also better than its predecessor at patching the vulnerabilities it finds.
“The Chrome team has reported that Carbon performed more than 10X better than another lab’s large frontier model when generating high-quality patches,” Koray Kavukcuoglu, the senior vice president of Google DeepMind and Google’s chief artificial intelligence architect, wrote in a blog post.
Argon, the company’s previous flagship LLM, includes guardrails designed to mitigate hallucinations and cyberattacks. Google implemented an improved version of that feature set in Carbon. According to the company, a number of internal teams that use Carbon in “live coding environments” reported a nearly 80% drop in misalignment alerts.
When LLMs struggle to answer a user question, they sometimes fill their knowledge gaps by hallucinating inaccurate information. Google configured Carbon to avoid such behavior.
“In our internal testing, Carbon cuts unsupported claims by approximately 2x over Argon,” Kavukcuoglu wrote. “It puts methodological caveats directly into the deliverable or withholds blocked actions with a clear list of what remains required, rather than fabricating or hedging around missing evidence.”
Alignment issues can also crop up while a model is being trained. Developers train frontier LLMs by giving them a large number of tasks similar to the ones they’ll be expected to perform in production. LLMs sometimes cheat on those tasks, which is not conducive to the learning process.
Google tested whether Carbon would use shortcuts to solve the coding challenges in the Terminal-Bench 4.0 benchmark. The model attempted to cheat across only 0.4% of the questions and none of the attempts were successful. Carbon performed even better on the Gray Swan IPI Benchmark, which tests LLMs’ susceptibility to indirect prompt injections. The model blocked all of the simulated prompt injections.
The company will make Carbon available later this week through its Fairwind Program, which gives organizations such as internet providers early access to its LLMs. Participants use the models to fix cybersecurity flaws in their systems. Google plans to refine Carbon’s guardrails based on feedback from early adopters before making it broadly available.
Image: Google
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