即使你没有要求，AI个人助理仍然在幕后工作，是今年如何使用深层学习模式的答案。 起动的"Instinct"成为了一夜之间的感觉，而Meta则把其营销的全部力量放在了助手Muse的身后。
OpenAI不会被排除在外。 公司发布点，其助理出价，于9月下旬的开发者日。 Alexander Embiricos带领OpenAI的企业产品团队，本月在TechCrunchDisrupt与我们一同解释产品来自何方
Embiricos 称在建设AI助手时，“当我们研究这个产品时，我们意识到如果我们能把这个设定成一个实体
该助手以ChatGPT桌面和移动应用程序提供给Pro级或更高级别的订阅者，计划从每月100美元开始。 一旦它与您的日历，电子邮件，计算机和其他工具相接，agent会试图帮助您完成您的工作。
Embiricos指出，今年年初，你可以使用Open AI的Codex应用程序，即它的编码工具发布，实现很多点的功能。 但这需要更多的工作和手持。 他回忆起，他的妻子开始整晚离开电脑，这样agents就可以继续工作。
“对于产品团队，我想的是，我们如何使这种直观和对人们有用？” 他告诉失望的与会者。 (笑声) “很多这些都不是在产品中添加一些新的技术，而是你如何将它描述给用户
从聊天机器人到编码工具到个人助理的路径
使技术感觉直观意味着将公司模型的功能重新包装为更方便使用的东西，这条路径已经打开了，当它喷出ChatGPT 利用它为软件工程师建造的代理编码工具。 甚至这个名字(OpenAI标志内部的阴性空间上的一出戏)也是为了“感觉像最终可能无所不在的东西”。 (当他得知竞争对手AI企业家埃隆·穆斯克拥有dot.com URL, Embiricos 称，“我发现很晚。 ”
持续使用agent的想法是，对OpenAI来说，它意味着更多的象征性使用，对用户来说，一个更加主动的助手，如Embiricos所言，“这是对你的想法和如何帮助你。”
在我们的测试中，助理的先入为主的能力是显而易见的，而且常常是有用的，但是还没有完全做到。 它将标出日历冲突和即将到来的最后期限，但不一定最及时。
Embiricos 称的点点。 " 这就像，“嘿，这个东西来了。 你或许想做点什么。 我只有三分钟！”
Embiricos预计时间会随着时间推移而改善，但积极主动的方法是产品的关键。 “我听说一个工程师在无人机的交付启动时，他们说，“我们停电了，当我注意到停电时，我的点已经注意到停电了
给点键
与大多数AI agent使用案例一样，AI模型的个人信息需要有用，Muse因为你的家人和朋友的简介而受到批评，软件用来了解，比如说，你可能想和一个特定的朋友去哪家餐厅，点是否收集类似的数据？
Embiricos 称。 “对于一个傲慢的人，它会思考它所了解的你，它所拥有的对话是什么，然后你又给了它什么机会去了解它能够想到的，然后它会去研究，“我能做些什么来帮助你？” 然后，基本上，它将提议这样做。”
agent的数据需求与其母公司的数据需求难以区分。 哈克(Hark)是开发自己AI个人助理的创业者，他明确地指出，它不会像OpenAI和Meta那样收集数据来为广告业加油。
与"点","OpenAI","agent"具有与"ChatGPT"本身相同的隐私控制：用户可以关闭模型训练(停止OpenAI使用对话来改进它的AI)，控制它在你的计算机中访问什么资源以及如何使用。 不过，这些控制不是颗粒式的，例如，它拒绝接受只读访问云盘。
“我认为我们需要做的基本上是建立超级，超级，超级颗粒控制系统。” Embiricos 称，但他指出模型的智慧和酌处权是这个硬币的另一面。
Embiricos 称。 “这其实是我们在发布时感到有些不爽的东西。 agent将会做什么，我还记得，我们本来会看到这些反馈，但想着，“这没关系，我们可以随着时间推移来调和。 ”
个人AI agents能分级吗？.
关于AI agents的另一个大问题就是它们是否能够进行规模化。 agents的口中写道：但企业未必喜欢与agents交易，Embiricos是这些人中的一员。 OpenAI的公司伙伴想与一个人互动，因此他也有个人助理，他称补充说，“我个人从未打算与他人的agent会面。”
如果AI行业认为agents是我们的未来是正确的，那么我们能否在不压倒我们世界目前运行的基础设施，从企业和网站到支付网络的情况下到达那里？
agent与世界合作的下个能力，“当我们这样做时，我们真的与生态系统的其余部分密切合作。 我可能不能在这里说太多，但我们深入到与付款处理者的许多对话中去。
让一个AI助手通过与支付公司的伙伴关系来花钱，对于OpenAI来说是潜在的利润第一，同时也是对消费者的一个大要求。 给一个助手进入我的电子邮件收件箱已经感觉像一个大要求，但我的银行账户是禁止的。 现在
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The always-on AI personal assistant, which keeps working in the background even when you aren’t asking it to, is this year’s answer to the question of how people will actually use deep learning models. The startup Instinct became an overnight sensation, and Meta put the full force of its marketing behind its assistant, Muse.
OpenAI wasn’t going to be left out. The company released dots, its assistant offering, at its developer day in late September. Alexander Embiricos, who leads OpenAI’s enterprise product team, joined us at TechCrunch Disrupt this month to explain where the product came from—starting with the question of why so many companies seem to be turning to cutesy mascots as avatars for their trillion-parameter matrix multiplication machines.
“There’s kind of this convergent evolution happening,” Embiricos said of the efforts to build AI assistants. “As we were working on the product, we realized if we could frame this as, it’s an entity and it’s a single conversation, not many different conversations….it starts to become intuitive.”
The assistant is available in the ChatGPT desktop and mobile apps to subscribers on the Pro tier or higher, with plans starting at $100 a month. Once it is connected to your calendar, email, computer and other tools, the agent tries to help you get your work done.
Embiricos points out that you could achieve much of dots’ functionality with Open AI’s Codex app, its coding tool, released at the beginning of this year. But that requires more work and hand-holding. He recalled celebrating when his wife started leaving her computer on all night so that her agents could keep working.
“On the product team, what I think about is, how do we make this intuitive and useful to people?” he told Disrupt attendees. “A lot of that isn’t building some new piece of tech into the product; it’s how you frame it to the user and how it feels.”
The path from chat bot to coding tool to personal assistant
Making the technology feel intuitive meant repackaging the functionality of the company’s models into something more accessible, a path it was already on as it spun ChatGPT Work out of the agentic coding tools it had built for software engineers. Even the name—a play on the negative space inside of OpenAI’s logo—is intended “to feel like just something that could eventually be ubiquitous.” (Asked when he learned that rival AI entrepreneur Elon Musk owns the dot.com URL, Embiricos said, “I found out very late.”)
The idea of a persistent agent is that it doesn’t need prompting. For OpenAI, means more token usage, and for users, a more pro-active assistant “that’s sort of thinking about you and thinking how to help you,” as Embiricos put it.
In our testing, the assistant’s ability to think ahead is apparent and often useful, but it isn’t quite there yet. It will flag calendar conflicts and upcoming deadlines, but not necessarily in the most timely fashion.
“The first time it told me about one of those [conflicts]—this is like early in development—it told me three minutes before the thing,” Embiricos says of his dot. “It’s like, ‘Hey, this thing is coming up. You might want to do something about it.’ I only have three minutes!”
Embiricos expects the timing to improve over time, but the proactive approach is key to the product. “I was hearing about an engineer at a drone delivery startup, and they were saying, ‘We had this outage, and by the time I noticed that the outage was going on, my dot had already noticed the outage was happening, had already analyzed the outage, and had come to me with useful information for how we could resolve the outage.’”
Giving dot the keys
As with most AI agent use cases, there’s a tension between the personal information an AI model needs to be useful and exactly how much personal data you are exposing to a software company. Muse has been criticized for the profiles it builds of your family and friends, which the software uses to know, say, what kind of restaurant you might want to go to with a specific pal, but could also add incredible value to Meta’s advertising business. Does dots collect similar data?
“Yes, we have a thing that we built into dots, which we call proactive research,” Embiricos said. “On a cadence, it will think about what it knows about you, what is the conversation that it’s had, and then what have you given it access to that it can think about, and then it will go and research, ‘What could I do to be more helpful to you?’ And then, basically, it will propose that.”
It’s difficult to separate the data needs of the agent from that of its parent corporation. Hark, a start-up developing its own AI personal assistant, is explicit in pointing out it that it doesn’t collect data to fuel an advertising business the way that OpenAI and Meta do.
With dots, OpenAI says that the agent has the same privacy controls as ChatGPT itself: Users can turn off model training (stopping OpenAI from using their conversations to improve its AI), and control what resources it accesses within your computer and how. Still, those controls aren’t granular and the app can be pushy. For example, it refuses to accept read-only access to cloud drives.
“What I think we need to do is basically build out super, super, super granular controls,” Embiricos said, but he pointed to the model’s intelligence and discretion as the other side of this coin.
“This is actually something we kind of got some flack about when we launched,” Embiricos said. “We had really conservative defaults over what the agent would do, and it would ask for permission a lot. I remember knowing that we were going to see that feedback, but thinking, ‘This is okay, we can tune that over time.’”
Can personal AI agents scale?
The other big question about AI agents is whether they can scale. They’re fun when only a few people have them, and stories of agents snagging hard-to-get reservations abound. But businesses don’t necessarily like dealing with agents and might not be equipped to. People certainly don’t like dealing with them (note: stop having your AI agents pitch me), and Embiricos is among those people. He also has a human assistant because OpenAI’s corporate partners want to interact with a person, he said, adding, “I personally never intend to have a meeting with someone else’s agent.”
If the AI industry is right that agents are our future, can we get there without overwhelming the infrastructure that our world currently runs on, from businesses and websites to payment networks?
“At OpenAI…we’re not always moving the fastest in terms of shipping the next ability for the agent to work with the world,” he said. “When we do, we’re doing it really closely in collaboration with the rest of the ecosystem. I probably can’t say too much here, but we’re deep in lots of conversations with payment processors.”
Letting an AI assistant spend money through partnerships with payment companies would be a potentially lucrative first for OpenAI, but also a big ask for consumers. Giving an assistant access to my email inbox already feels like a big ask, but my bank account is off limits. For now.
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