AI 时间轴
沿着时间,回顾 AI 的重要变化。每个事件都保留摘要与来源。
沿着时间,回顾 AI 的重要变化。每个事件都保留摘要与来源。
AI Events · 大事记
沿着时间,回顾 AI 的重要变化。每个事件都保留摘要与来源。
Widespread AI adoption is propelling Southeast Asia's digital economy to a projected $368 billion in 2026 and $1 trillion by 2035.
查看事件与来源My latest vibe coded game experiment is a Command & Conquer style RTS (Real Time Strategy) game called Battle Drones ( play it here ). Unlike my previous experiments , this one is actually fun to play . I'm somewhat embarrassed to admit that I got there by telling Claude to "Make it a LOT more fun". It also supports multiplayer between nearby devices using audio to synchronize game state! Here's what I've built so far, and some of the things I learned along the way. Battle Drones How I built thi
查看事件与来源Today, we’re committing a portion of Anthropic’s shares to the Anthropic Public Benefit Fund, a new entity with a structure that increases the stake as the company grows. Subject to stockholder approval, 5% of Anthropic’s shares will be committed today, with an additional 2% added at the board’s discretion for every 50% increase in the company’s value above a set baseline. As a public benefit corporation, most of our work in pursuit of our mission takes place inside the company: research relevan
查看事件与来源DeepSeek V4.1 Flash 现已更新至 V4.1-Flash-1017 版本,官方网页端、APP 与 API 模型已同步变更为新模型。 性能–费用的帕累托改进 相比上一版本的 DeepSeek V4.1 Flash,新模型在各方面的基准测试中取得了长足的提升。 在提升性能的同时,我们还缩短了模型的任务运行时间与输出长度,让用户能够以更低成本、更快速度完成任务(如下图所示),在多个 Harness 下达到了新的性能-费用帕累托最优。特别地,本次我们着重针对 DeepSeek Harness、腾讯 CodeBuddy、WorkBuddy 等平台框架进行了优化。请升级到 DeepSeek Harness 0.2.1-rc.1 及以上版本,以获得适配新版模型的最优体验。 DeepSeek V4.1 Flash 1017 使用 mini-swe-v2 框架测试 DeepSWE 的性能/成本图 从零开始的完整项目开发 DeepSeek V4.1 Flash 1017 通过基于自反馈的强化学习(RL)训练技术,提升了在游戏开发、3D 建模等方面从零开始构建完整项目的能力,能够支持实现更多
查看事件与来源Last month, we committed to stronger independent, third-party assessment of our models and safety practices. We also signed the White House Accord on Super Intelligence, in which companies pledged to partner with independent external auditors or evaluators. Today, we’re announcing that we’ve started to give employee-like access to a team from METR , a nonprofit that evaluates frontier AI models. METR will publish the results of its risk assessments. Over the past year, we’ve worked with METR on
查看事件与来源Today, we are expanding our Asia-Pacific operations by opening a new office in Singapore—our fifth in the region—and signing a Memorandum of Understanding (MOU) with the Singapore Ministry of Digital Development and Information. Singapore is one of our most active markets anywhere in the world, and Claude is already powering Singaporean business and government services used by millions of people every day, like GovTech Singapore, Grab, and DBS. Our growing local team will ensure these organizati
查看事件与来源Earlier this year, we shared an update on our election safeguards , which described how we measure and prevent political bias, detect misuse, and direct people to accurate voting information. Below, we outline how we've built on that work and continued to strengthen our election safeguards ahead of this year’s US midterms. How people use Claude for elections and politics Our goal is for Claude to be a useful tool for political conversations, while preventing election-related abuse. That starts w
查看事件与来源We’re giving developers, enterprises, scientists, and consumers access to Gemini 4 Argon, our latest frontier model.
查看事件与来源从诞生之初,Google Antigravity 就面向 Agent 优先的未来而构建,底层原语随模型智能同步演进。如今随着 Gemini 4 Argon 的加入,原生 Agent 开发体验在 Antigravity 应用中全面释放。 本月早些时候,我们 发布了 最新模型 Gemini 4 Argon,在真实软件工程、法务与财务等企业级知识工作以及网络安全防御等高难度场景中展现出前沿实力。即日起,我们在 Google Antigravity 中直接面向 Google AI Pro 和 Ultra 订阅用户推出 Gemini 4 Argon,支持 Antigravity 桌面应用与 Antigravity CLI。面向 企业客户 ,Gemini 4 Argon 已通过 Gemini 平台中的 API 上线,并向符合条件的 Gemini Enterprise 订阅用户在 Antigravity 中开放。 Argon 专为攻克硬核难题而生;与此同时,我们也正全力推进更多后续模型,服务更广泛开发者的日常高频开发。 全面提速 Google 内部研发 最严苛的试验场就是我们自己的工程团队。在向 A
查看事件与来源Python 3.15 is here ! Here's the essential What's new in Python 3.15 guide, this year curated by 3.14 and 3.15 release manager Hugo van Kemenade. As someone who builds open source software that works in every supported Python version, I get to say goodbye to Python 3.10 and start embracing features from Python 3.11. First, some highlights from Python 3.15. Explicit lazy imports I'm most excited about Explicit lazy imports from PEP 810 . These let you import modules like so: lazy import json lazy
查看事件与来源I shipped a new feature for my blog today: the Newsletters page, which offers an index of all of the newsletters I've sent out, both my free weekly Substack and my monthly sponsors-only updates. I built the feature almost entirely using my voice, chatting away to my laptop while I cooked dinner. Codex voice mode I used the ChatGPT desktop app for this, in the Codex tab, using the voice conversation mode, running against a local development environment. Here's what that looks like: I started the
查看事件与来源Today we’re launching the Anthropic Cyber Mission, a long-term commitment to securing the systems everyone depends on. The Cyber Mission is a new effort to support defenders with tools, research, and resources to secure their software and systems. We’re starting with two areas: Critical infrastructure: Starting with securing the operational technology behind power grids, water systems, and transportation networks, and protecting government systems. Today, we’re introducing the Critical Infrastru
查看事件与来源Anthropic is deepening its support for American scientific research by committing $150 million over three years to the Genesis Mission , a federal initiative to accelerate scientific and technological discovery through AI. The funding will go toward making Claude available to more than 15 agencies that are part of the mission, including NASA, the National Institutes of Health, and the National Science Foundation. We first announced our partnership with the US Department of Energy (DOE) and the G
查看事件与来源Each year, Anthropic updates its Usage Policy in response to the evolving capabilities of our models, and the feedback we’ve received from our customers. We're publishing a new version of the policy today. In this post, we summarize the changes we’ve made. Most of the updates in the latest version are intended to clarify existing rules. In the year since our last refresh, Claude has taken on longer, more independent work. This update provides new examples that show how our rules apply to Claude’
查看事件与来源As previously promised , here's Anthropic's new fast, low cost model: Introducing Claude Haiku 5.5 . The previous Haiku, 4.5, was very much showing its age. It came out almost a year ago , and was priced at $1/million input and $5/million output - relatively expensive even back then, and a full 10x the price of OpenAI's GPT-6 Luna , released last month. The new Haiku exactly matches the price of GPT-6 Luna - $0.10/$0.50 - up to 100,000 tokens. Beyond 100,000 tokens the price increases 5x to $0.5
查看事件与来源Playground is a new experimental gaming platform that lets you create, play, and share custom games.
查看事件与来源We’re launching a new, expanded version of our Cyber Verification Program (CVP), which makes advanced cyber capabilities and reduced blocking classifiers available to qualifying security professionals. The program now consists of three access tiers, which allow security teams to apply for the level of access that best suits their work. Each tier includes access to our most capable models, including Claude Opus 5.5, Claude Sonnet 5.5, Claude Mythos 5.1, and new models moving forward. Interested c
查看事件与来源Here's a product feature which the world is going to need a whole lot more of over the coming months and years: default hard budget caps . I'm talking about the feature of pay-by-usage services and APIs that lets you say "after $X/month, cut this thing off and return errors". These need to be hard limits. Soft caps, "after $X/month, send me a warning email", will not cut it. Coding agents, and personal agents (coding agents wrapped in a less threatening UI), greatly reduce the friction of spinni
查看事件与来源Here are Google’s latest AI updates from September 2026
查看事件与来源The first-of-its-kind Academy trains Frontier Deployed Engineers using the same standard of skills as Anthropic’s own engineers, starting with cohorts from Accenture, Bain, Capgemini, Commonwealth Bank of Australia, Deloitte, McKinsey, Morgan Stanley, Novo Nordisk and others. Today we are launching Claude Frontier Academy to solve one of the most pressing issues in AI implementation: talent. Backed by a $100 million commitment, Anthropic aims to train 10,000 Frontier Deployed Engineers (FDEs) by
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