ChatGPT开启了AI聊天机器人的竞赛。Meta决心赢得这场比赛。
ChatGPT kicked off the AI chatbot race. Meta is determined to win it.
为此，去年9月推出的Meta AI助手现在正在整合到Instagram、Facebook、WhatsApp和Messenger的搜索框中。它也将直接出现在Facebook主要信息流中。你仍然可以在Meta应用的消息收件箱中与它聊天。而且，现在首次可以通过Meta.ai的独立网站访问。
To that end: the Meta AI assistant, introduced last September, is now being integrated into the search box of Instagram, Facebook, WhatsApp, and Messenger. It’s also going to start appearing directly in the main Facebook feed. You can still chat with it in the messaging inboxes of Meta’s apps. And for the first time, it’s now accessible via a standalone website at Meta.ai.
为了让Meta的助手有希望成为真正的ChatGPT竞争者，其底层模型必须至少同样优秀，如果不是更好的话。这就是为什么Meta还宣布了Llama 3，它的基础开源模型的下一个主要版本。Meta表示，Llama 3在关键基准测试中超越了同类竞争模型，并且在诸如编码之类的任务上整体表现更好。两个较小的Llama 3模型今天发布，既在Meta AI助手中，也向外部开发者提供，而一个更大的多模态版本将在未来几个月推出。
For Meta’s assistant to have any hope of being a real ChatGPT competitor, the underlying model has to be just as good, if not better. That’s why Meta is also announcing Llama 3, the next major version of its foundational open-source model. Meta says that Llama 3 outperforms competing models of its class on key benchmarks and that it’s better across the board at tasks like coding. Two smaller Llama 3 models are being released today, both in the Meta AI assistant and to outside developers, while a much larger, multimodal version is arriving in the coming months.
Meta AI的目标是成为“全世界人们可以自由使用的最智能的AI助手”，CEO马克·扎克伯格告诉我。“有了Llama 3，我们基本上觉得我们已经做到了。”
The goal is for Meta AI to be “the most intelligent AI assistant that people can freely use across the world,” CEO Mark Zuckerberg tells me. “With Llama 3, we basically feel like we’re there.”
Meta AI助手是我所知唯一一个现在集成了来自Bing和Google的实时搜索结果的聊天机器人 — Meta决定何时使用哪个搜索引擎来回答提示。它的图像生成也已升级，可以创建动画（本质上是GIF），而高分辨率图像现在随着你的输入而实时生成。同时，当你第一次打开聊天窗口时，一个受Perplexity启发的提示建议面板旨在“揭示通用聊天机器人能做什么”，Meta的生成性AI负责人Ahmad Al-Dahle说。
The Meta AI assistant is the only chatbot I know of that now integrates real-time search results from both Bing and Google — Meta decides when either search engine is used to answer a prompt. Its image generation has also been upgraded to create animations (essentially GIFs), and high-res images now generate on the fly as you type. Meanwhile, a Perplexity-inspired panel of prompt suggestions when you first open a chat window is meant to “demystify what a general-purpose chatbot can do,” says Meta’s head of generative AI, Ahmad Al-Dahle.
虽然到目前为止它只在美国可用，但Meta AI现在正在英语国家推出，包括澳大利亚、加拿大、加纳、牙买加、马拉维、新西兰、尼日利亚、巴基斯坦、新加坡、南非、乌干达、赞比亚和津巴布韦，更多国家和语言即将推出。这与扎克伯格提出的真正全球性AI助手的设想相去甚远，但这次更广泛的发布使Meta AI更接近最终触及该公司超过30亿的日活跃用户。
While it has only been available in the US to date, Meta AI is now being rolled out in English to Australia, Canada, Ghana, Jamaica, Malawi, New Zealand, Nigeria, Pakistan, Singapore, South Africa, Uganda, Zambia, and Zimbabwe, with more countries and languages coming. It’s a far cry from Zuckerberg’s pitch of a truly global AI assistant, but this wider release gets Meta AI closer to eventually reaching the company’s more than 3 billion daily users.
Meta AI的图像生成现在可以在你输入时实时渲染图像。Meta 这里可以做一个比较，就是故事和短片，两种定义时代的社交媒体格式，都是由初创公司——分别是Snapchat和TikTok——首创的，然后被添加到Meta的应用中，使它们变得更加普遍。
Meta AI’s image generation can now render images in real time as you type. Meta There’s a comparison to be made here to Stories and Reels, two era-defining social media formats that were both pioneered by upstarts — Snapchat and TikTok, respectively — and then tacked onto Meta’s apps in a way that made them even more ubiquitous.
“我预计它将成为一个相当重要的产品”
有些人会称这是无耻的抄袭。但很明显，扎克伯格认为Meta的巨大规模，加上其快速适应新趋势的能力，是其竞争优势。他正在用同样的策略对待Meta AI，将其放在各处并大力投资于基础模型。
“I expect it to be quite a major product”
Some would call this shameless copying. But it’s clear that Zuckerberg sees Meta’s vast scale, coupled with its ability to quickly adapt to new trends, as its competitive edge. And he’s following that same playbook with Meta AI by putting it everywhere and investing aggressively in foundational models.
“我不认为今天有很多人在想到主要的AI助手时会想到Meta AI，”他承认。“但我认为这是我们真正开始向很多人介绍它的时刻，我预计它将成为一个相当重要的产品。”
“I don’t think that today many people really think about Meta AI when they think about the main AI assistants that people use,” he admits. “But I think that this is the moment where we’re really going to start introducing it to a lot of people, and I expect it to be quite a major product.”
通过提交您的电子邮件，您同意我们的条款和隐私声明。此站点受reCAPTCHA和Google隐私政策和服务条款的保护。 “Compete with everything out there” What Meta AI’s web app looks like on a MacBook screen.
今天Meta正在引入两个开源的Llama 3模型供外部开发者自由使用。有一个80亿参数的模型和一个700亿参数的模型，两者都将在所有主要的云服务提供商上可用。（在非常高的层面上，参数决定了模型的复杂性和它从训练数据中学习的能力。）
Today Meta is introducing two open-source Llama 3 models for outside developers to freely use. There’s an 8-billion parameter model and a 70-billion parameter one, both of which will be accessible on all the major cloud providers. (At a very high level, parameters dictate the complexity of a model and its capacity to learn from its training data.)
Llama 3是AI模型快速扩展的一个很好的例子。去年发布的Llama 2最大版本有700亿参数，而即将推出的大型Llama 3版本将拥有超过4000亿参数，扎克伯格说。Llama 2在2万亿个标记上进行了训练（基本上是构成模型的单词或基本意义单位），而大型Llama 3版本有超过15万亿个标记。（OpenAI尚未公开确认GPT-4中的参数或标记数量。）
Llama 3 is a good example of how quickly these AI models are scaling. The biggest version of Llama 2, released last year, had 70 billion parameters, whereas the coming large version of Llama 3 will have over 400 billion, Zuckerberg says. Llama 2 trained on 2 trillion tokens (essentially the words, or units of basic meaning, that compose a model), while the big version of Llama 3 has over 15 trillion tokens. (OpenAI has yet to publicly confirm the number of parameters or tokens in GPT-4.)
Llama 3的一个关键重点是显著减少其错误拒绝的次数，或者模型声称无法回答实际上无害的提示的次数。扎克伯格提供的一个例子是要求它制作一杯“杀手级玛格丽塔”。另一个例子是我去年在采访中给他的，当时Meta AI最早的版本不会告诉我如何与某人分手。
A key focus for Llama 3 was meaningfully decreasing its false refusals, or the number of times a model says it can’t answer a prompt that is actually harmless. An example Zuckerberg offers is asking it to make a “killer margarita.” Another is one I gave him during an interview last year, when the earliest version of Meta AI wouldn’t tell me how to break up with someone.
Meta尚未最终决定是否将4000亿参数版本的Llama 3开源，因为它仍在训练中。扎克伯格淡化了它不开源的可能性，原因是安全。
Meta has yet to make the final call on whether to open source the 400-billion-parameter version of Llama 3 since it’s still being trained. Zuckerberg downplays the possibility of it not being open source for safety reasons.
“我不认为我们或该领域的其他人在明年工作的任何事物真的属于那种风险的范畴，”他说。“所以我相信我们将能够开源它。”
“I don’t think that anything at the level that what we or others in the field are working on in the next year is really in the ballpark of those type of risks,” he says. “So I believe that we will be able to open source it.”
在最先进的Llama 3版本发布之前，扎克伯格表示，可以期待对较小模型进行更多迭代更新，比如更长的上下文窗口和更多的多模态性。他对这种多模态性将如何工作保持谨慎，尽管听起来像是生成类似于OpenAI的Sora的视频还不在计划之中。Meta希望其助手变得更加个性化，这可能意味着最终能够生成你自己肖像的图像。
Before the most advanced version of Llama 3 comes out, Zuckerberg says to expect more iterative updates to the smaller models, like longer context windows and more multimodality. He’s coy on exactly how that multimodality will work, though it sounds like generating video akin to OpenAI’s Sora isn’t in the cards yet. Meta wants its assistant to become more personalized, and that could mean eventually being able to generate images in your own likeness.
当我询问用于训练Llama 3的数据的具体情况时，Meta变得含糊其辞。总的训练数据集是Llama 2的七倍大，代码多了四倍。尽管扎克伯格最近夸耀说它的语料库比Common Crawl的全部还要大，但没有使用Meta用户数据。否则，Llama 3使用了“公共”互联网数据和合成的AI生成数据的混合。是的，AI正在用来构建AI。
Meta gets hand-wavy when I ask for specifics on the data used for training Llama 3. The total training dataset is seven times larger than Llama 2’s, with four times more code. No Meta user data was used, despite Zuckerberg recently boasting that it’s a larger corpus than the entirety of Common Crawl. Otherwise, Llama 3 uses a mix of “public” internet data and synthetic AI-generated data. Yes, AI is being used to build AI.
AI模型的变化速度如此之快，即使Meta现在通过Llama 3重新确立了开源领导者的地位，谁知道明天会发生什么。有传言称OpenAI正准备推出GPT-5，可能再次领先于整个行业。当我问扎克伯格这个问题时，他说Meta已经在考虑Llama 4和5。对他来说，这是一场马拉松，而不是短跑。
The pace of change with AI models is moving so fast that, even if Meta is reasserting itself atop the open-source leaderboard with Llama 3 for now, who knows what tomorrow brings. OpenAI is rumored to be readying GPT-5, which could leapfrog the rest of the industry again. When I ask Zuckerberg about this, he says Meta is already thinking about Llama 4 and 5. To him, it’s a marathon and not a sprint.
“此时此刻，我们的目标不是与开源模型竞争，”他说。“我们的目标是与外面的一切竞争，成为世界上领先的AI。”
“At this point, our goal is not to compete with the open source models,” he says. “It’s to compete with everything out there and to be the leading AI in the world.”
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