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DeepMind

别名:Google DeepMind、GDM

Google 旗下人工智能研究实验室。

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已收录 30 条与 DeepMind 相关的内容,按评分排序。

#572.AI越强大,其经济占比反而可能越小

#572.AI越强大,其经济占比反而可能越小

跨国串门儿计划3417 字 (约 14 分钟)
85

The stronger AI becomes, the smaller its direct share of the economy may be, as value shifts to relational services, demand elasticity, and capital returns, making wealth redistribution a key issue.

入选理由:AI 取代白领工作后,资本回报率提升,劳动收入占比可能下降,但新需求与服务仍能维持就业。

FeaturedPodcast#AI Economy#Automation#Wealth Distribution#Redistribution Policy#Labor Market中文
How we used Gemini to build Google I/O 2026

How we used Gemini to build Google I/O 2026

The Keyword (blog.google)1589 字 (约 7 分钟)
85

Google used Gemini and other AI tools to build I/O 2026, enhancing efficiency while preserving human artistic details, achieving seamless integration of creativity and technology, proving AI effectively handles mundane tasks and releases human creativity.

入选理由:使用Nano Banana生成动画帧并通过自定义工具确保像素级匹配,提升短片制作效率30%以上。

FeaturedArticle#Gemini#Nano Banana#AI-assisted design#Google I/O#Generative AI英文
[AINews] How to land a job at a frontier lab (on Pretraining)

How to Land a Job at a Frontier Lab (on Pretraining)

Latent Space1926 字 (约 8 分钟)
85

Vlad Feinberg's guide highlights mastering LLM kernel-level tuning and MoE architecture optimization as critical for entering frontier labs, while agent automation and observability emerge as infrastructure trends.

入选理由:掌握LLM内核调优(如JAX/Pallas)是进入前沿实验室的最直接路径,需能手写代码实现MoE层优化

FeaturedArticle#LLM Kernel Tuning#MoE Architecture#Agent Automation#DeepMind#LangChain英文
Introducing Google Antigravity 2.0

Introducing Google Antigravity 2.0

Google DeepMind Blog1201 字 (约 5 分钟)
85

Google Antigravity 2.0 is a standalone desktop application featuring dynamic subagents, asynchronous task management, and JSON hooks for more efficient and flexible agent interactions across platforms.

入选理由:动态子代理允许主代理创建子代理处理子任务,提升并行性和上下文管理

FeaturedArticle#Google Antigravity#Gemini Model#Dynamic Subagents#Asynchronous Tasks英文
Google DeepMind Blog 图标

Introducing Gemini Omni

Google DeepMind Blog1106 字 (约 5 分钟)
85

Gemini Omni Flash is a new model from DeepMind that generates high-quality videos from any input and supports conversational editing, balancing creativity with real-world knowledge and physics.

入选理由:Gemini Omni Flash支持通过文本、图像、视频或音频输入生成视频,并允许通过对话逐步编辑,保持场景连贯性。

FeaturedArticle#Gemini Omni#DeepMind#Multimodal Model#Video Generation#Conversational Editing英文
What to expect from Google this week

What to expect from Google this week

MIT Technology Review2053 字 (约 9 分钟)
85

Google is trying to regain its position in AI by forming a new coding team and possibly an update to its platform.

入选理由:Google is addressing its coding crisis by forming a new AI coding team at DeepMind.

FeaturedArticle#AI#DeepMind#OpenAI中文
#539. 手搓AlphaGo:前DeepMind科学家拆解AI围棋核心原理,以及对LLM强化学习的深远启示

Rebuilding AlphaGo: A Deep Dive into AI Go Core Principles and Implications for LLMs

跨国串门儿计划1868 字 (约 8 分钟)
85

AlphaGo uses MCTS and neural networks to achieve efficient search, showcasing the potential of reinforcement learning.

入选理由:AlphaGo 使用 MCTS 和神经网络实现高效搜索,每步都有明确监督目标。

FeaturedPodcast#AI#Reinforcement Learning#Go#Neural Networks#Search Algorithms中文
「世界模型」究竟是什么?一文看懂其前世今生与百亿赌局

A world model is a significant advancement in reinforcement learning that combines environment modeling with decision-making, becoming a billion-dollar investment hotspot in AI.

入选理由:世界模型通过环境预测和决策优化提升智能体性能

FeaturedArticle#Reinforcement Learning#AI Models#Machine Learning中文
Cloud CISO Perspectives: How Google + Wiz changes multicloud strategy for CISOs

Cloud CISO Perspectives: How Google + Wiz changes multicloud strategy for CISOs

Google Cloud Blog1758 字 (约 8 分钟)
85

Google and Wiz are reshaping multicloud security with AI and developer-centric strategies to enable near real-time defense and self-healing infrastructure.

入选理由:Wiz 的漏洞管理工具可在 15 分钟内完成传统数周的分析任务。

FeaturedArticle#Multicloud Security#AI Security#CISO Strategy#Wiz#Google Cloud英文
浙大校友用AI突破32年拉姆齐数下界

浙大校友用AI突破32年拉姆齐数下界

量子位1862 字 (约 8 分钟)
85

浙大校友王宜平借助自研AI框架ScaleAutoResearch-Ramsey,将拉姆齐数R(3,17)下界从92提升至93,成果开源。

入选理由:王宜平将R(3,17)下界从92提升至93

FeaturedArticle#AI#数学#拉姆齐数中文
2026.21: The Data Center Veto

2026.21: The Data Center Veto

Stratechery700 字 (约 3 分钟)
82

AI development is constrained by physical infrastructure, giving ordinary people veto power over AI projects through data center approvals, creating new leverage against tech giants.

入选理由:AI依赖数据中心建设,而后者需地方许可,赋予公众否决权。

FeaturedArticle#AI#Data Centers#Tech Policy英文
谷歌用 AI 「杀死」谷歌,这场发布会看得人缺氧

Google unveiled Gemini Omni video generation model and Gemini 3.5 Flash coding model at I/O, while upgrading AI search to Agent mode and launching Gemini Spark personal AI assistant, marking Google's strategic shift from traditional search engine to AI-powered information Agent platform.

入选理由:Gemini 3.5 Flash输出速度比其他前沿模型快4倍,Antigravity优化后可达12倍,Google内部开发任务已超每天3万亿tokens处理量

FeaturedArticle#Google I/O#Gemini#AI Agent#Video Generation#Coding Assistant中文
Why (Senior) Engineers Struggle to Build AI Agents — Philipp Schmid, Google DeepMind

Senior engineers struggle with AI Agent development because the paradigm shifted from deterministic programming to iterative prompt-feedback loops; text is now the new state representation, and engineers must transition from 'traffic controllers' to 'dispatchers'.

入选理由:AI Agent开发采用“定义目标→运行→观察→调整提示/工具→再运行”的迭代闭环,而非传统“需求→编码→测试→部署”线性流程。

FeaturedVideo#AI Agent#LLM Engineering#Software Paradigm Shift#Prompt Engineering英文
How Google DeepMind Runs Agents at Scale — KP Sawhney & Ian Ballantyne, Google DeepMind

How Google DeepMind Runs Agents at Scale

AI Engineer5685 字 (约 23 分钟)
78

DeepMind uses a self-built platform architecture to run agents at scale with an agent manager and internal toolchain for efficient automation.

入选理由:Antigravity 是 DeepMind 自研的智能体开发平台,支持多智能体并行工作。

FeaturedVideo#AI Agent#DeepMind#Agent Framework#Automation#Software Engineering英文
Microsoft JUST BROKE OpenAI...

Microsoft's Latest Moves in AI

Wes Roth6381 字 (约 26 分钟)
75

Microsoft recently launched a series of large language models called MAI and acquired a company founded by Mustafa Sulleon, a co-founder of DeepMind, which has enabled them to quickly develop a series of new AI models. These actions indicate that Microsoft is actively catching up with OpenAI and other leading AI labs, potentially changing the game of the AI race.

入选理由:微软推出MAI模型系列

FeaturedVideo#Microsoft#AI#Large Language Models英文
A Second Nobel Prize for AlphaFold? 🧬🏆 #alphafold #deepmind #nobelprize #science #ai

AlphaFold has garnered significant acclaim in the scientific community due to its revolutionary protein structure prediction capabilities, with over three million researchers currently utilizing the tool for important work. Experts discuss the possibility of it receiving a Nobel Prize, highlighting this as recognition of AI's major contributions to biological research.

入选理由:AlphaFold已被全球超过300万科研人员采用

FeaturedVideo#AlphaFold#DeepMind#Artificial Intelligence#Biomedical Science英文
DeepMind's CTO Explains Their Invisible "AI Watermark"

DeepMind's CTO Explains Their Invisible 'AI Watermark'

Matt Wolfe274 字 (约 2 分钟)
75

DeepMind's CTO explains how their synthetic ID system marks AI-generated videos for users to identify and distinguish between real and AI-generated content.

入选理由:DeepMind 使用合成 ID 系统对 AI 生成的视频进行数字水印标记。

FeaturedVideo#DeepMind#CTO#AI#Digital Watermark#Video Recognition英文
Build your next story with Gemini Omni.

Build your next story with Gemini Omni

Google DeepMind433 字 (约 2 分钟)
75

Gemini Omni is DeepMind's new multi-modal generative model that combines VEO, Nano Banana, and other models to create videos, images, and interactive simulations with physics understanding and natural language video editing. The first version Gemini Omni Flash is now available.

入选理由:Gemini Omni整合了Gemini的推理能力和生成模型,实现多模态内容创作与物理模拟(如动能和重力)。

FeaturedVideo#Gemini Omni#DeepMind#Multi-modal Generation#Video Editing#AI Creation英文
Using AI to outsmart drug-resistant bacteria

Using AI to outsmart drug-resistant bacteria

Google DeepMind381 字 (约 2 分钟)
75

AI tools are revolutionizing antibiotic development by accelerating structure elucidation and discovering non-intuitive patterns to combat the silent pandemic of antimicrobial resistance.

入选理由:DeepMind工具将实验结构解析时间从数年缩短至6分钟。

FeaturedVideo#AI#DeepMind#Antibiotic Research#Biotechnology#Gemini英文
I Built an AI That Wrote Me a Country Breakup Song

I Built an AI That Wrote Me a Country Breakup Song

Siraj Raval2214 字 (约 9 分钟)
70

Fish Audio S2 Pro technology generates emotion-controlled country breakup songs in 8 minutes using voice cloning and English emotion encoding, but lacks deep technical mechanism explanations.

入选理由:Fish Audio S2 Pro支持将'像失去狗的男人低语'等场景特定情绪编码为歌词,实现情感编程,而不仅是预设的'快乐'或'悲伤'。

FeaturedVideo#AI Music Generation#Voice Cloning#Fish Audio#S2 Pro#Emotion Encoding英文
We sat down with DeepMind CEO @demishassabis to find out how close we are to AGI, curing every disea...

DeepMind CEO Demis Hassabis Discusses AGI and the Future

The Rundown AI(@TheRundownAI)146 字 (约 1 分钟)
70

DeepMind CEO Demis Hassabis discusses our current position as 'the foothills of the singularity' and explores the potential impact of AGI on disease treatment and human meaning after AGI.

入选理由:DeepMind CEO Demis Hassabis 认为我们正处于‘奇点的 foothills’。

FeaturedTweet#DeepMind#AGI#Demis Hassabis中文
谷歌 DeepMind CEO 哈萨比斯:AGI 最快三年内到来,研发速度远超预期

DeepMind CEO Demis Hassabis predicts AGI could emerge by 2029–2030 (i.e., within ~3 years), with development pace far surpassing expectations; he stresses AGI will evolve incrementally—not via a sudden singularity—and warns societal preparedness is severely inadequate.

入选理由:哈萨比斯预测AGI最快2029–2030年出现,即约三年内可能落地。

FeaturedArticle#AGI#DeepMind#Artificial Intelligence#Technology Forecast中文
Google DeepMind CEO Loves Hard Questions 🙂

Google DeepMind CEO Loves Hard Questions 🙂

Two Minute Papers50 字 (约 1 分钟)
65

This is an auto-generated transcript of an English video, which is brief and primarily discusses the difficulty of answering 'dumb' and 'easy' questions, requiring concise answers, sometimes just one word. The conversation mentions Feynman and Newton but does not provide a clear comparison or conclusion.

入选理由:文章是自动转录的英文视频文本。

FeaturedVideo#Artificial Intelligence#DeepMind#Feynman#Newton中文
Interview with Demis interview also now live: https://t.co/jjmkz3q2o1

Rowan Cheung Interview with Demis Hassabis: The Future of Artificial Intelligence

Rowan Cheung(@rowancheung)98 字 (约 1 分钟)
60

Rowan Cheung interviewed DeepMind CEO Demis Hassabis about the future of artificial intelligence, medical progress, and human meaning after AGI.

入选理由:Demis Hassabis认为我们正处于‘奇点的 foothills’。

FeaturedTweet#artificial intelligence#singularity#AGI中文
Gemini Omni is a major leap in world understanding & multimodal editing! It can take photos, vid...

Gemini Omni is a major leap in world understanding & multimodal editing!

Demis Hassabis(@demishassabis)117 字 (约 1 分钟)
60

Gemini Omni enables any photo/video/audio input and real-time new-scene generation, marking the arrival of true any-to-any multimodal editing.

入选理由:支持用户上传自有视频并迭代创意

FeaturedTweet#Gemini Omni#multimodal generation#DeepMind#video editing英文
new skills repo from deepmind to speed up agentic scientific workflows

https://t.co/BwpWjX3jN1

New DeepMind Skills Repo Speeds Up Agentic Scientific Workflows

Patrick Loeber(@patloeber)76 字 (约 1 分钟)
55

DeepMind open-sourced the science-skills repository to accelerate AI agent execution in scientific research workflows via standardized skill modules.

入选理由:DeepMind发布开源仓库google-deepmind/science-skills,专为科学领域AI Agent设计。

FeaturedTweet#DeepMind#AI Agent#Scientific Workflow#Open Source英文
Introduction to Lean for Programmers

Introduction to Lean for Programmers

Towards Data Science2997 字 (约 12 分钟)
52

The article claims to introduce Lean to programmers but actually focuses entirely on interactive theorem proving with Lean and AI, misrepresenting its topic with low practical value and incomplete content.

入选理由:Lean 4 配合 GitHub Copilot 可用于交互式定理证明,Terence Tao 已在 YouTube 上直播使用。

FeaturedArticle#Lean#proof assistant#AI theorem proving#AlphaProof#Curry-Howard英文
Google Just Sold Out

Google Just Sold Out

Matt Wolfe295 字 (约 2 分钟)
52

Google reportedly signed a classified AI deal with the Pentagon, sparking internal backlash from over 600 employees and raising ethical concerns about its 2014 DeepMind acquisition principles.

入选理由:Google's Pentagon AI deal contradicts its stated AI ethics commitments post-DeepMind acquisition.

FeaturedVideo#Google#AI Ethics#Pentagon#DeepMind#AI Policy中文

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