TechCrunch News 2024年10月24日
This Week in AI: The AI agents cometh
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人工智能代理正在兴起,它们能够自动执行以前需要人工完成的任务。Anthropic 推出了最新的人工智能模型 Claude 3.5 Sonnet,它能够通过点击和输入与网页和桌面应用程序进行交互,就像真人一样。虽然它并不完美,但 3.5 Sonnet 结合“计算机使用”功能可能会改变工作场所。微软正在测试能够使用 Windows PC 预约的代理,而亚马逊正在探索能够主动购物的代理。尽管企业对生成式人工智能的态度可能犹豫不决,但它们对代理持乐观态度。麻省理工学院技术评论洞察力本月发布的一份报告发现,49% 的高管认为代理和其他形式的先进人工智能助手将带来效率提升或成本节约。对于 Anthropic 及其在构建“代理”技术方面的竞争对手来说,这是一个好消息。人工智能的构建和运行成本很高。例如,Anthropic 据说正在筹集数十亿美元的风投资金,而 OpenAI 最近完成了 65 亿美元的融资。但我想知道今天大多数代理是否真的能兑现炒作。以 Anthropic 的为例。在一项旨在测试人工智能代理帮助预订航空公司机票任务能力的评估中,新的 3.5 Sonnet 成功完成了不到一半的任务。在另一项涉及启动产品退货等任务的测试中,3.5 Sonnet 大约三分之一的时间失败了。新的 3.5 Sonnet 并不完美,Anthropic 坦率承认这一点。但很难想象一家公司会长期容忍如此高的失败率。在某种程度上,雇佣秘书会更容易。尽管如此,企业还是愿意尝试人工智能代理,即使只是为了跟上潮流。根据创业加速器 Forum Ventures 的一项调查,48% 的企业开始部署人工智能代理,而另外三分之一的企业正在“积极探索”代理解决方案。我们将在这些早期采用者在运行代理一段时间后看看他们的感受。

🤖 Anthropic 推出了其最新的人工智能模型 Claude 3.5 Sonnet,它能够通过点击和输入与网页和桌面应用程序进行交互,就像真人一样。它被设计成一个 AI 代理,能够自动执行以前需要人工完成的任务。

💼 尽管 3.5 Sonnet 并不完美,但其“计算机使用”功能可能会改变工作场所,因为它能够与各种应用程序进行交互并执行任务,例如预订航班或启动产品退货。

💰 AI 代理市场正在蓬勃发展,预计到 2030 年将达到 500 亿美元。Anthropic 并不是唯一一家投资开发 AI 代理的公司,微软和亚马逊也正在探索其在各种领域(例如预约和购物)的应用。

📈 企业对 AI 代理持乐观态度,许多企业正在部署或探索 AI 代理解决方案,以提高效率和降低成本。

⚠️ 尽管 AI 代理具有潜力,但它们仍然存在挑战,例如高失败率和对大量数据的需求。对于 Anthropic 的 3.5 Sonnet 来说,它在某些任务中的成功率低于 50%,这表明它们仍然需要改进才能在现实世界中可靠地运行。

🛡️ 除了技术挑战之外,AI 代理还引发了关于数据隐私、安全性和道德问题的讨论。随着 AI 代理越来越强大,确保它们以负责任和道德的方式使用变得至关重要。

🚀 尽管存在挑战,但 AI 代理的未来仍然光明。随着技术的不断发展,我们可以期待看到更强大、更可靠的 AI 代理,它们能够帮助我们完成各种任务,并改变我们工作和生活的方式。

🎨 除了 AI 代理之外,生成式人工智能领域也取得了重大进展。多个初创公司发布了新的视频模型,例如 Haiper 的 Haiper 2.0、Genmo 的 Mochi 1 和 Rhymes AI 的 Allegro。

🎭 Runway 的 Act-One 工具也值得关注,它能够根据视频和语音录制生成“富有表现力”的角色表演。它利用人工智能将人类演员的表演转化为动画角色,保留了他们的面部表情。

🎶 Suno 正在与内容识别公司 Audible Magic 合作,以防止其音乐生成工具上传受版权保护的音乐。这一举措旨在解决围绕 Suno AI 模型训练数据版权的争议。

⚔️ 人工智能在军事领域也引起了广泛的关注。AI Now Institute 的一份新研究发现,在军事情报、监视和侦察中部署的 AI 已经带来了风险,因为它依赖于个人数据,这些数据可能被对手窃取和武器化。

🌎 研究人员强调了确保军事人工智能系统的安全性和限制其危害的必要性,并建议创建独立于商业模型的专用人工智能系统。

🌐 随着人工智能技术的快速发展,我们正处于人工智能代理和生成式人工智能改变我们世界的方式的边缘。从工作场所到娱乐,人工智能正在重塑我们与技术互动的方式。

💡 未来,人工智能代理和生成式人工智能将继续发展,带来更多机遇和挑战。关键在于以负责任和道德的方式利用这些技术,以造福人类。

💻 OpenAI 发布了 ChatGPT 的专用 Windows 应用程序,为某些客户群体提供预览。Elon Musk 的人工智能公司 xAI 推出了 Grok 的 API,Grok 是驱动 X 上许多功能的生成式人工智能模型。

👩‍💼 前 OpenAI 首席技术官 Mira Murati 据报道正在为一家新的人工智能初创公司筹集资金,该初创公司专注于基于专有模型构建人工智能产品。

💪 随着人工智能代理和生成式人工智能在各个领域的应用不断扩展,我们可以期待看到更多创新和突破,这些创新和突破将改变我们的生活方式。

🧠 重要的是要记住,人工智能是一种工具,它的用途取决于我们如何使用它。通过负责任和道德地开发和部署人工智能,我们可以利用其潜力来改善我们的生活并解决我们面临的重大挑战。

🤝 随着人工智能技术的不断发展,合作和协作将变得越来越重要。通过共同努力,我们可以确保人工智能的开发和应用符合人类的利益,并造福于社会。

🌟 人工智能的未来充满了无限可能。让我们共同努力,确保它成为一种力量,为所有人创造一个更美好、更美好的未来。

💯 人工智能的未来掌握在我们手中。让我们明智地使用它,创造一个更美好的明天!

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The agents are coming — the AI agents, that is.

This week, Anthropic released its newest AI model, an upgraded version of Claude 3.5 Sonnet, that can interact with the web and desktop apps by clicking and typing — much like a person. It’s not perfect. But 3.5 Sonnet with “Computer Use,” as Anthropic’s calling it, could be transformative in the workplace.

At least, that’s the elevator pitch.

Whether Anthropic’s new model lives up to the hype remains to be seen. But its arrival signifies Anthropic’s ambitions in the nascent AI agent market, which some analysts believe could be worth close to $50 billion by 2030.

Anthropic isn’t the only one investing resources in developing AI agents, which, broadly defined, automate tasks that previously had to be performed manually. Microsoft is testing agents that can use Windows PCs to book appointments and more, while Amazon is exploring agents that can proactively make purchases.

Organizations might be waffling on generative AI. But they’re pretty bullish on agents so far. A report out this month from MIT Technology Review Insights found that 49% of executives believe agents and other forms of advanced AI assistants will lead to efficiency gains or cost savings.

For Anthropic and its rivals building “agentic” technologies, that’s welcome news indeed. AI isn’t cheap to build — or run. Case in point, Anthropic is said to be in the process of raising billions of dollars in venture funds, and OpenAI recently closed a $6.5 billion funding round.

But I wonder if most agents today can really deliver on the hype.

Take Anthropic’s, for example. In an evaluation designed to test an AI agent’s ability to help with airline booking tasks, the new 3.5 Sonnet managed to complete less than half of the tasks successfully. In a separate test involving tasks like initiating a product return, 3.5 Sonnet failed roughly one-third of the time.

Again, the new 3.5 Sonnet isn’t perfect — and Anthropic readily admits this. But it’s tough to imagine a company tolerating failure rates that high for very long. At a certain point, it’d be easier to hire a secretary.

Still, businesses are showing a willingness to give AI agents a try — if for no other reason than keeping up with the Joneses. According to a survey from startup accelerator Forum Ventures, 48% of enterprises are beginning to deploy AI agents, while another third are “actively exploring” agentic solutions.

We’ll see how those early adopters feel once they’ve had agents up and running for a bit.

Data scraping protests: Thousands of creatives, including actor Kevin Bacon, novelist Kazuo Ishiguro, and the musician Robert Smith, have signed a petition against unlicensed use of creative works for AI training.

Meta tests facial recognition: Meta says it’s expanding tests of facial recognition as an anti-fraud measure to combat celebrity scam ads.

Perplexity gets sued: News Corp’s Dow Jones and the NY Post have sued growing AI startup Perplexity, which is reportedly looking to fundraise, over what the publishers describe as a “content kleptocracy.”

OpenAI’s new hires: OpenAI has hired its first chief economist, ex-U.S. Department of Commerce chief economist Aaron Chatterji, and a new chief compliance officer, Scott Schools, previously Uber’s compliance head.

ChatGPT comes to Windows: In other OpenAI news, OpenAI has begun previewing a dedicated Windows app for ChatGPT, its AI-powered chatbot platform, for certain segments of customers.

xAI’s API: Elon Musk’s AI company, xAI, has launched an API for Grok, the generative AI model powering a number of capabilities on X.

Mira Murati raising: Former OpenAI CTO Mira Murati is reportedly fundraising for a new AI startup. The venture is said to focus on building AI products based on proprietary models.

Militaries around the world have shown great interest in deploying — or are already deploying — AI in combat zones. It’s controversial stuff, to be sure, and it’s also a national security risk, according to a new study from the nonprofit AI Now Institute.

The study finds that AI deployed today for military intelligence, surveillance, and reconnaissance already poses dangers because it relies on personal data that can be exfiltrated and weaponized by adversaries. It also has vulnerabilities, like biases and a tendency to hallucinate, that are currently without remedy, write the co-authors.

The study doesn’t argue against militarized AI. But it states that securing military AI systems and limiting their harms will require creating AI that’s separate and isolated from commercial models.

This week was a very busy week in generative AI video. No fewer than three startups released new video models, each with their own unique strengths: Haiper’s Haiper 2.0, Genmo’s Mochi 1, and Rhymes AI’s Allegro.

But what really caught my eye was a new tool from Runway called Act-One. Act-One generates “expressive” character performances, creating animations using video and voice recordings as inputs. A human actor performs in front of a camera, and Act-One translates this to an AI-generated character, preserving the actor’s facial expressions.

Image Credits:Runway

Granted, Act-One isn’t a model per se; it’s more of a control method for guiding Runway’s Gen-3 Alpha video model. But it’s worth highlighting for the fact that the AI-generated clips it creates, unlike most synthetic videos, don’t immediately veer into uncanny valley territory.

AI startup Suno, which is being sued by record labels for allegedly training its music-generating tools on copyrighted songs sans permission, doesn’t want yet another legal headache on its hands.

At least, that’s the impression I get from Suno’s recently announced partnership with content ID company Audible Magic, which some readers might recognize from the early days of YouTube. Suno says it’ll use Audible Magic’s tech to prevent uploads of copyrighted music for its Covers feature, which lets users create remixes of any song or sound.

Suno has told labels’ lawyers that it believes songs it used to train its AI fall under the U.S.’ fair-use doctrine. That’s up for debate. It wouldn’t necessarily help Suno’s case, though, if the platform was storing full-length copyrighted works on its servers — and encouraging users to share them.

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AI 代理 人工智能 生成式人工智能 Claude 3.5 Sonnet Anthropic 微软 亚马逊 OpenAI ChatGPT xAI Grok Runway Act-One Suno Audible Magic AI Now Institute 军事人工智能 数据隐私 安全 伦理
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