Excited to share early results about CodeMender, our new AI agent that automatically fixes critical software vulnerabilities. AI could be a huge boost for developer productivity and security. Amazing work from the team - congrats!

译CodeMender 是一款可自动修复关键软件漏洞的 AI agent，早期成果显示其有望大幅提升开发者生产力与安全性。

Sundar Pichai@sundarpichai · 10月7日

We’re investing $4B in cloud and AI infrastructure in Arkansas through 2027, which includes a new data center in West Memphis, our first in the state. All part of our overall investments to help the US continue to lead the world in AI innovation. https://blog.google/inside-google/company-announcements/google-american-innovation-arkansas

译Google 计划在 2027 年前向阿肯色州投资 40 亿美元用于云与 AI 基础设施建设，包括在 West Memphis 建设该州首个数据中心，以支持美国在全球 AI 创新领域保持领先。

Google DeepMind@GoogleDeepMind · 10月2日

How can AI enhance the creative process of a world-renowned industrial designer? 🎨 We partnered with the visionary @RossLovegroveX and @modem_works to build a tool using Gemini and our image generation technology to translate his signature aesthetic into a new concept. 🪑

译Google 携手工业设计师 Ross Lovegrove 与 modem_works，利用 Gemini 及图像生成技术构建工具，将其标志性美学转化为全新家具设计概念。

Jeff Dean@JeffDean · 10月1日

The proof is in the evolutionary pudding!

译Google Research 利用 AlphaEvolve 迭代进化代码，自动生成可自动验证的复杂性理论证明元素，展示进化算法在数学证明发现中的应用。

Google DeepMind@GoogleDeepMind · 9月30日

We went behind the scenes to show Nano Banana demos to the experts who built it. 🍌

译团队深入幕后，向亲手构建 Nano Banana 的工程师们展示了产品演示，让他们一睹这一成果。🍌

Jeff Dean@JeffDean · 9月21日

Very nice analysis by neurosurgeon @slotkinjr of how @Waymo's autonomous vehicles have much better safety properties than human drivers, and what would happen if everyone in the U.S. drove as safely as a Waymo. "The national math: If every US vehicle performed like Waymo, we’d prevent 33,000-39,000 deaths annually and save $0.9-1.25 trillion in societal costs. Even partial adoption at 27% would save ~10,000 lives per year. In terms of magnitude, this would be the equivalent of eliminating every pedestrian death nationally in a year."

译神经外科医生基于Waymo9600万英里行驶数据的深度分析显示，其自动驾驶汽车严重事故率比人类驾驶低91%，交叉口伤害事故减少95%。数据显示47%的碰撞速度差小于1 mph，系统将不可避免的事故转化为轻微接触。若全美车辆达到该安全水平，每年可防止3.3–3.9万人死亡、节省0.9–1.25万亿美元社会成本，即使27%普及率也能挽救约1万人生命，实现从伤害减轻到伤害预防的根本转变。

Jeff Dean@JeffDean · 9月18日

Very excited to see our Gemini models getting better and better at coding! An advanced version of Gemini 2.5 Deep Think at the 2025 International Collegiate Programming Contest (ICPC) World Finals achieved gold-medal level performance! 🎉 https://deepmind.google/discover/blog/gemini-achieves-gold-level-performance-at-the-international-collegiate-programming-contest-world-finals/

译Gemini 2.5 Deep Think 高级版本在 2025 年 ICPC 世界总决赛中取得金牌级别成绩，标志着 Gemini 模型编程能力持续精进，在竞赛级编程任务中表现卓越。

Google DeepMind@GoogleDeepMind · 9月18日

An advanced version of Gemini 2.5 Deep Think has achieved gold-medal level performance at the ICPC 2025 - one of the world’s most prestigious programming contests. 🏅 Building on the model's success in math at the IMO, this marks another historic milestone for advanced AI. 🧵

译Gemini 2.5 Deep Think 进阶版在 ICPC 2025 世界编程大赛中取得金牌水平成绩。继 IMO 数学竞赛后，这是该模型在竞技领域取得的又一历史性突破。

Jeff Dean@JeffDean · 9月16日

Read how work by @UChicago, building on the AI-based NeuralGcM weather model developed & open-sourced by @GoogleResearch, is being used to more accurately predict the monsoon season in India and support farmer decision-making for 38M farmers in India. 🌱 https://blog.google/technology/research/indian-farmers-monsoon-prediction/

译芝加哥大学基于 Google Research 开发并开源的 AI 天气模型 NeuralGcM，建立更精准的印度季风预测系统，为 3800 万农民提供种植决策支持。

Google DeepMind@GoogleDeepMind · 9月9日

Three big AI updates for developers: 1️⃣ Veo 3 and Veo 3 Fast are now ready for scaled production use in the Gemini API 2️⃣ Make 16:9 videos in 1080p HD for even higher quality 3️⃣ Start generating 9:16 vertical clips Find out more → https://goo.gle/4niwJOZ

译Veo 3 与 Veo 3 Fast 现已在 Gemini API 开放规模化生产使用，新增支持 16:9 1080p 高清视频及 9:16 竖屏视频格式。

Google DeepMind@GoogleDeepMind · 8月22日

As AI becomes more integrated into our lives, understanding its environmental footprint is essential. ⚡️ That’s why we’re sharing our comprehensive methodology for measuring the energy, emissions, and water impact of Gemini prompts. ↓

译Google 发布 Gemini 提示词环境影响综合测量方法论，涵盖能源消耗、碳排放及水资源使用指标，提供评估 AI 环境足迹的完整技术框架。

Hao AI Lab@haoailab · 8月8日

[Lmgame Bench] 🏆Congratulations to o3 for dominantly championing the first-ever AI Chess Tournament! Also to grok-4 and gemini-2.5-pro for the second and third place! This result highly aligns with our lmgame-Bench leaderboard! This shows that games aren't just for fun: They're reliable and consistent signals of LLM’s intelligence, and our benchmark is an effective predictor of LLM’s gaming capability! https://huggingface.co/spaces/lmgame/lmgame_bench

译[Lmgame Bench] 🏆祝贺 o3 强势夺得首届 AI 国际象棋锦标赛冠军！同时祝贺 grok-4 和 gemini-2.5-pro 分获亚军和季军！

Yann LeCun@ylecun · 6月22日

Awesome new dataset from @SandboxAQ

译SandboxAQ 开源 SAIR 数据集，包含超500万个蛋白质-配体3D结构及结合亲和力标注，为目前最大规模开源结合亲和力数据集。基于NVIDIA DGX Cloud构建，现已在Google Cloud公开可用，旨在为药物发现AI模型提供训练与评估数据。

Yann LeCun@ylecun · 6月20日

Awesome new dataset from @SandboxAQ

译SandboxAQ 发布开源数据集 SAIR（Structurally Augmented IC50 Repository），收录逾 500 万个共折叠蛋白质-配体 3D 结构及结合亲和力数据，为目前规模最大的开源结合亲和力数据集。数据由大型定量模型生成，旨在为药物发现 AI 模型提供高质量训练数据，弥合分子结构与药效预测间的鸿沟。该数据集基于 NVIDIA DGX Cloud 构建，现已在 Google Cloud Platform 公开发布，供全球研究人员下载使用。