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主持人:我最近一直在关注AI新闻,特别是关于AI代理的新闻。AI代理能够处理任务、做出决策,甚至与我们聊天,就像科幻小说中的场景一样。但是,很容易被炒作所迷惑,所以这次深入探讨,我们将关注实际情况,看看AI代理在企业中的实际应用情况,而不是新闻标题。首先,我们将了解来自NVIDIA的一些有趣见解。众所周知,NVIDIA以其显卡而闻名,但他们也在大力进军AI领域,特别是所谓的AI代理微服务。请耐心听我解释,因为这里面很有意思。 NVIDIA的这些微服务就像微小的软件构建块,旨在使AI代理对企业来说更安全、更可靠。其中一项服务解决了有害或有偏见输出的问题,可以将其视为AI对话的内容安全网。另一项微服务使AI代理专注于特定主题,确保它们不会突然偏离到无关的方面。还有一个真正引起我注意的服务,一个旨在防止越狱的微服务。 在本文中,“越狱”指的是试图移除对AI代理功能的限制,就像试图破解手机以绕过家长控制一样,但后果可能要严重得多。NVIDIA显然在此方面具有前瞻性,预料到了风险并试图建立安全措施。 但关键在于,NVIDIA并没有悄悄推出这些安全功能,他们正在大肆宣传。这告诉我一些重要的事情,他们认为安全和控制将是说服企业真正采用AI代理的关键因素。这确实是一个巧妙的策略,因为让我们面对现实,如果你是考虑将任务交给AI的企业,你肯定希望它不会失控,向你的客户散布阴谋论,或者做出可能让你陷入困境的决策。 但是,在我们被NVIDIA的愿景所吸引之前,我们需要从更大的角度来看待问题。企业是否真的像所有炒作所暗示的那样迅速采用AI代理?好吧,事情变得有点复杂了。我们在这里有一些相互矛盾的预测。一方面,Salesforce的首席执行官马克·贝尼奥夫基本上表示,AI代理即将爆炸式增长,他预测明年仅在其平台上运行的AI代理数量就将超过十亿。但另一方面,德勤是一家全球咨询公司,他们的研究描绘了一幅更为谨慎的图景。他们预测,到2025年,只有约25%的企业将使用或计划使用AI代理,到2027年,这一比例将上升到50%。这与十亿个AI代理接管世界之间存在相当大的差距。 以及不到一半的企业甚至只是尝试一下。那么到底发生了什么?是什么导致了这种差异?我认为这种预测差异归结于以下几点。一方面,AI代理具有巨大的潜力。它们可以自动化任务,提供个性化体验,甚至可以分析数据并提出建议。 很容易理解为什么像马克·贝尼奥夫这样的人会如此看好它们的未来。但另一方面,还有业务采用的现实情况。这就是德勤的数字开始有意义的地方。AI代理仍然是一项相对较新的技术,因此公司会谨慎行事。他们希望在投入使用之前看到明确的投资回报。然后是信任因素。你真的可以相信AI代理在复杂情况下做出正确的决定吗?如果它犯了错误怎么办? 更糟糕的是,如果它造成某种损害怎么办?这就是NVIDIA的策略及其安全微服务发挥作用的地方。他们试图直接解决这些担忧。 通过内置安全措施,它可以避免偏见、跑题,甚至黑客攻击。他们的目标是使AI代理对企业来说更可预测、更可靠。这样想吧,如果你是正在考虑使用AI代理与客户互动的公司,那么当你了解已经到位了可以防止事情偏离轨道的机制时,难道不会感觉更舒服吗?你知道AI不会突然开始使用攻击性语言或做出无法兑现的承诺。 NVIDIA本质上试图为AI代理创建一个更受控制的操作环境。这在说服企业尝试AI代理方面可能是一个改变游戏规则的因素。现在,即使这些安全措施到位,也必须记住AI代理仍然是工具。它们只与其训练数据一样好,并且仍然需要人工监督和指导。但这里真正令人着迷的是,我们看到了关注点的明显转变。 讨论不再仅仅是关于AI代理的原始能力了。而是关于如何使它们更安全、更可控,并最终更值得企业信赖。这又让我们回到了德勤的预测。即使他们的预测是正确的,并且采用速度比一些更乐观的预测慢,但他们预测在未来几年内,将有一半的企业将使用或计划使用AI代理,这仍然意义重大。 这告诉我这项技术不仅仅是一种时尚,它将继续存在。随着AI代理不断发展并变得越来越复杂,我们今天正在努力解决的关于安全、控制和信任的问题 这些问题只会变得越来越重要。那么这一切对你意味着什么?好吧,即使你不是科技公司首席执行官或数据科学家,也值得关注AI代理领域的发展情况。因为如果AI代理在企业中得到更广泛的采用,它将对整个经济产生连锁反应。它可以改变我们的工作方式、与公司互动的方式,甚至改变我们购物和做决策的方式。 所以在我们结束这次深入探讨之前,我想让你思考一些问题。想象一下,未来AI代理在企业中就像今天的智能手机一样普遍。你对它们的未来有什么希望?你有什么担忧?你认为AI代理是向善的力量,是一种让我们摆脱那些繁琐任务的方式,至少可以带来新的创造力和生产力水平吗?或者你感到不安,担心将如此多的控制权交给机器的潜在后果吗? 这很复杂,对吧?没有简单的答案,但这绝对是我们需要进行的讨论,尤其是在这些技术发展如此迅速的情况下。我希望这次深入探讨能让你对AI代理的世界有一些新的认识。也许它还会引发你自己的问题,因为最终,AI的未来并不是仅仅会发生在我们身上的事情,而是我们所有人将共同塑造的事情。感谢你加入我这次对不断发展的AI代理世界的深入探讨。下次再见,保持好奇心,继续探索。

Deep Dive

Shownotes Transcript

Translations:
中文

Okay, got to admit, I've been kind of glued to all the AI news lately, especially anything about AI agents. You know, there's a ton of those programs that can handle tasks and make decisions, even chat with us. Like, they're right out of science fiction. But it's easy to get lost in all the hype, right? So in this deep dive, we're going to get practical. We're going to look at what's really happening with AI agent adoption in businesses beyond headlines. And to kick things off,

We've got some fascinating insights from NVIDIA. You know they're known for their graphics cards, sure. But they're making a serious push into the AI world, especially with these things called microservices for AI agents. Now stick with me here because this is where it gets interesting.

These microservices are like tiny software building blocks, and they're designed to make AI agents safer and more reliable for businesses. One of them tackles the problem of harmful or biased outputs. Think of it as like a content safety net for AI conversations. Another microservice keeps AI agents focused on specific topics, making sure they don't suddenly veer off into like irrelevant tensions. And here's the one that really caught my eye. A microservice designed to prevent jailbreaking.

Jailbreaking in this context means someone trying to remove the limitations on what an AI agent can do. It's like trying to hack your phone to bypass the parental controls, but with potentially much bigger consequences. NVIDIA is clearly thinking ahead here, anticipating the risks and trying to build in safeguards.

But here's the thing. NVIDIA isn't just quietly rolling out these safety features. They're making a big deal about it. And that tells me something important. They're betting that safety and control are going to be the key factors that convince businesses to really embrace AI agents. It's a clever strategy, really. Because, let's face it, if you're a company and you're considering handing over tasks to an AI, you want to know it's not going to go rogue and start spouting conspiracy theories to your customers or make decisions that could land you in hot water.

But hold on. Before we get too carried away with NVIDIA's vision, we need to look at the bigger picture. Are businesses actually adopting AI agents as quickly as all the hype suggests? Well, that's where things get a little complicated. We've got some conflicting predictions here. On one hand, you have Salesforce's CEO, Mark Benioff, basically saying that AI agents are about to explode. He breaks a billion of them running on their platform alone in the next year. But then we have Deloitte. They're a global consulting firm.

And their research paints a more cautious picture. They predict that only about 25% of enterprises will be using or planning to use AI agents in 2025, with that number rising to 50% by 2027. That's a pretty big gap between a billion AI agents taking over the world.

and less than half of businesses even dipping their toes in the water. So what's going on here? What's driving this discrepancy? I think this difference in predictions comes down to a few things. On one hand, you have the raw potential of AI agents. They can automate tasks, provide personalized experiences. They can even analyze data and make recommendations.

It's easy to see why someone like Mark Benioff would be so bullish on their future. But on the other hand, there are the realities of business adoption. And that's where those delight numbers start to make sense. AI agents are still a relatively new technology, so companies are going to be cautious. They want to see a clear return on investment before they jump in. And then there's the whole trust factor. Can you really trust an AI agent to make the right call in a complex situation? What if it makes a mistake?

Or even worse, what if it causes some kind of harm? That's where NVIDIA's strategy with those safety microservices comes into play. They're trying to address those concerns head-on.

By building in safeguards, it gets bias, off-topic tangents, even hacking attempts. They're aiming to make AI agents more predictable and reliable for business. Think of it this way. If you're a company and you're thinking about using an AI agent to interact with your customers, wouldn't you feel more comfortable knowing that there are mechanisms in place to prevent things from going sideways? You know that the AI isn't going to suddenly start doing offensive language or making promises it can't keep.

NVIDIA is essentially trying to create a more controlled environment for AI agents to operate in. And that could be a game changer when it comes to convincing businesses to give them a try. Now, even with these safety measures in place, it's important to remember that AI agents are still tools. They're only as good as the data they're trained on, and they still require human oversight and guidance. But what's really fascinating here is that we're seeing a clear shift in focus.

The conversation isn't just about the raw capabilities of AI agents anymore. It's about making them safer, more controllable, and ultimately more trustworthy for businesses. And that brings us back to those Deloitte predictions. Even if they're right and adoption is slower than some of the more optimistic forecasts, it's still significant that they predict half of all businesses will be using or planning to use AI agents within the next few years.

That tells me that this technology is not just a fad, it's here to stay. And as AI agents continue to evolve and become more sophisticated, the questions we're grappling with today about safety, control, and trust

Those are only going to become more important. So what does all of this mean for you? Well, even if you're not a tech CEO or a data scientist, it's worth paying attention to how this AI agent landscape is unfolding. Because if AI agents do become more widely adopted in businesses, it's going to have ripple effects throughout the entire economy. You can change the way we work, the way we interact with companies, even the way we shop and make decisions.

So before we wrap up this deep dive, I want to leave you with something to think about. Imagine a future where AI agents are as common in businesses as like smartphones are today. What are your hopes for their future? What are your concerns? Do you see AI agents as like a force for good, a way to free us from those tedious tasks, at least like new levels of creativity and productivity? Or do you get a sense of unease, like a worry about the potential consequences of handing over so much control to machines?

It's complicated, right? There's no easy answers, but it's definitely a conversation we need to be having, especially as these technologies keep advancing so quickly. I hope this deep dive has given you some new insights into the world of AI agents. And maybe it sparks some questions of your own, because ultimately, the future of AI isn't something that's just going to happen to us. It's something we're all going to shape together. Thanks for joining me for this deep dive into the evolving world of AI agents. Until next time, stay curious and keep exploring.