全部 AI 动态

Announcing the Most Ambitious Set of Science Initiatives This Century https://www.whitehouse.gov/fact-sheets/2026/10/fact-sheet-trump-administration-announces-the-most-ambitious-set-of-science-initiatives-this-century/

The startup behind a popular AI model leaderboard has raised a new round of funding at a $3.1 billion valuation https://www.bloomberg.com/news/articles/2026-10-08/ai-model-evaluator-arena-valued-at-over-3-billion-in-round?taid=6ac7f2c68ff35e0001f90ce2&utm_campaign=trueanthem&utm_content=business&utm_medium=social&utm_source=twitter

What began as a UC Berkeley research project is becoming the infrastructure the world relies on to understand and advance AI. Today, @arena announced a $200 million Series B at a $3.1 billion valuation and launched the Arena AI Alignment Index, a new way to measure how AI agents behave in the real world. We at @felicis first backed Arena at the seed and led its Series A because @ml_angelopoulos, @infwinston, and @istoica05 understood the ground truth in AI: you can’t improve what you can’t measure. Congratulations to the entire Arena team on this milestone and the important work ahead! Read Arena’s announcement: https://arena.ai/blog/series-b And learn how Anastasios and Wei-Lin turned a weekend research project into AI’s trusted evaluation platform: http://felicis.link/2Eouv0v

Announcing our investment in @arena's Series B 🎉 Benchmarks tell you what a model knows. Arena tells you how it actually performs. On Arena, real users compare anonymous model outputs and vote for the better one across text, coding, vision, image generation, and agentic tasks. Labs use Arena's leaderboards to decide which models to train and ship. Builders use them to decide which to buy. The whole thing only works because no lab owns the scoreboard, and that neutrality has helped Arena carve out a crucial role in the AI ecosystem. We're proud to back @ml_angelopoulos, @infwinston, @istoica05, and the Arena team. On our blog, @emilyyzhao, @nateho_, and @caroline_fiegel wrote more about our belief in Arena: https://salesforceventures.com/perspectives/the-definitive-model-ranking-platform/

.@arena 刚刚以 31 亿美元估值完成了 2 亿美元 B 轮融资。 由我们的朋友 Lightspeed 和 Khosla Ventures 联合领投，参投方包括 a16z、AMP PBC、Felicis、Salesforce Ventures、01 Advisors、Dell Technologies Capital、Endeavor Catalyst、The House Fund 等。 我们很自豪从第一轮起就是投资者，也很兴奋能在这一轮加倍下注。 自 A 轮以来： - 年化收入超过 1 亿美元 - 平台累计 3.5 亿次会话 - 不到五个月内 700 万次 Agent Arena 会话 - 跨文本、视觉、代码、搜索、图像和视频的 6200 万次投票 - 用户遍布 150 多个国家 伴随此次融资，Arena 发布了其 Alignment Index，基于真实世界的 agent 轨迹构建。它从 20 多个前沿模型中的三个信号开始：Unauthorized Action、False Attribution 和 Deceptive Completion。 值得记住这一切从何开始。Arena 于 2023 年作为 UC Berkeley 的一个研究项目启动。它在 2025 年成为一家公司。 如今，它是 AI 行业检验自身工作的方式。 祝贺 @ml_angelopoulos、@infwinston、@istoica05 以及整个 Arena 团队！ Berkeley 研究，让 AI 保持诚实。Go Bears！

我们很兴奋地加倍投资 @arena 的 2 亿美元 B 轮融资。 随着 AI 模型数量激增，了解它们在现实世界中的实际表现正变得越来越重要。 Arena 还推出了其 Alignment Index，用于衡量 AI 行为在现实环境中与人类价值观的一致程度，这有助于实现 Arena 的使命——通过使用 AI 的人的体验来衡量 AI。 我们最初在种子轮就与这个团队合作。自他们的 A 轮以来，Arena 的年化收入已超过 1 亿美元，数百万人通过现实世界中的使用帮助评估前沿模型。 这种增长印证了我们最初的投资论点：模型越多，关于其表现的独立信号就越有价值。 祝贺联合创始人 @ml_angelopoulos、@infwinston 和 @istoica05。随着模型竞赛愈发拥挤，Arena 的工作正变得越来越有趣。 CC: @buckymoore, @jamesalcorn94, @ravi_lsvp, @prathikhosalli

Thrilled to welcome @SpaceXAI as a Founding Corporate Patron for the Omacom Foundation. That's $1,500,000 in @grok tokens for the maintenance and development of Omarchy. Maybe soon they'll be beamed straight from orbit? Let's go 🚀🌕 https://omarchy.org/news/2026/10/spacexai-joins-as-founding-corporate-patron/

Thrilled to welcome @SpaceXAI as a Founding Corporate Patron for the Omacom Foundation. That's $1,500,000 in @grok tokens for the maintenance and development of Omarchy. Maybe soon they'll be beamed straight from orbit? Let's go 🚀🌕 https://omarchy.org/news/2026/10/spacexai-joins-as-founding-corporate-patron/

当 @Felicis 最初在种子轮投资 @Arena 时，我们相信这家公司正在构建某种不可或缺的东西：一个独立、由社区驱动的真相来源，用于衡量 AI 前沿。这份信念只增不减，我们随后领投了 A 轮。 自那以来的进展非同凡响。Arena 的年化收入已突破 1 亿美元，促成了 3.5 亿次会话和 6200 万次投票，并成长为全球最大的 AI 社区之一。 今天，Arena 宣布完成 2 亿美元的 B 轮融资，估值达 31 亿美元，同时推出了一项新的对齐指数（Alignment Index），用于衡量 AI 智能体的行为是否安全、真实，并且不超出用户实际要求它们做的事情的范围。 随着 AI 系统开始代表我们采取实际行动，仅仅衡量能力已经不够了。我们还需要知道这些系统是否值得信任。Arena 拥有独特的优势，能够基于数百万真实世界的人类交互，为行业给出这个答案。 我们坚定地相信 @ml_angelopoulos、@infwinston 以及整个 Arena 团队，他们正在为 AI 构建可信的衡量层。 https://arena.ai/blog/series-b

Introducing the Arena Alignment Index, our new benchmark measuring safety and alignment of AI agents in real-world use. Built from 90K+ real-world agent sessions across 27 models, the index measures three critical signals: - Unauthorized Action (UA): Taking actions beyond the user's instructions or permissions - False Attribution (FA): Attributing statements or actions that are contradicted by user-provided evidence - Deceptive Completion (DC): Claiming a task was completed when it was not. Key findings: - OpenAI models currently lead the Alignment Index - Rogue actions are rare, but can have serious consequences when they occur - Agents can mislead users about task progress - Misalignment risks increase with conversation length - Safety and alignment are improving across model generations As shown in the leaderboard below (sorted by lab), @OpenAI’s GPT-6.1-Sol leads the Arena Alignment Index with a score of 87.9, followed by @AnthropicAI’s Claude-Opus-5.5 at 83.2 and @SpaceXAI's Grok-4.7 at 82.7. OpenAI also has the best observed rates across all three signals: 0.89% Unauthorized Action, 1.98% False Attribution, and 2.34% Deceptive Completion. Across all four labs, newer models consistently outperform their predecessors, suggesting broad progress in agent safety and alignment. As agents take on longer, more complex, and higher-stakes tasks, measuring not just what they can accomplish, but how safely and reliably they act, becomes increasingly important. This marks an important step toward making safety and alignment a core part of how Arena evaluates AI. The index is an initial starting point, and we'll continue expanding the index with additional safety signals and models over time. More analysis below👇