OpenAI新发布的GPT-4正在向有限的ChatGPT Plus用户和使用该公司API的特定企业发布。
OpenAI已经利用其GPT-4 AI的发布，与Duolingo和可汗学院等应用程序进行了新的集成。
据该公司称，新系统现在能够处理超过2.5万字的文本。GPT-3只能处理2048个语言标记，或一次处理1500个单词。这将允许“更多的长期内容创建”。这并不是说有些人没有尝试过用早期版本的LLM写整部小说，但这个新版本可以让文本保持更有凝聚力。
那些对OpenAI的每句话都翘首以盼的人一直在期待GPT-4的发布，这是该公司大型语言模型的最新版本。OpenAI表示，他们花了6个月的时间修改其LLM，使其对“不允许内容”的请求做出回应的可能性比以前的版本降低了82%，做出真实回应的可能性提高了40%。当然，我们无法访问OpenAI的内部数据，这些数据可能会显示GPT-3撒谎或展示被禁内容的频率。OpenAI之外很少有人能够对新系统进行测试运行，所以所有这些说法很可能只是吹牛。
想要使用GPT-4的人要么是少数几家提前使用GPT-4 API的公司之一，要么加入GPT-4 API的等待名单，要么成为少数幸运的ChatGPT Plus订阅用户之一。
新系统还包括接受图像作为输入的能力，允许系统生成标题，或提供图像分析。该公司以含有几种配料的图像为例，系统提供了一些例子，说明这些配料可以创造出什么食物。OpenAI首席执行官萨姆·奥特曼在推特上写道，该公司正在“预览”其视觉输入，但“需要一些时间来缓解安全挑战”。
一、GPT-4还擅长什么?
在周二的直播中，OpenAI展示了GPT-4的一些功能，尽管该公司不断提醒人们不要完全相信AI生产的所有东西。
在直播中，OpenAI总裁格雷格·布罗克曼(Greg Brockman)展示了该系统如何完成相对无聊的任务，比如用一个句子总结一篇文章，其中每个单词都以相同的字母开头。然后，他展示了用户如何向系统灌输新信息以供其解析，添加参数以使人工智能更清楚自己的角色。
这位公司联合创始人说，该系统相对较慢，尤其是在完成复杂任务时，不过完成请求的时间不会超过几分钟。在一个例子中，Brockman让AI为一个基于AI的Discord机器人创建代码。他不断地迭代请求，甚至在GPT-4中输入错误消息，直到GPT-4成功地生成了所请求的内容。他还输入了美国税法，以确定一对假想夫妻的一些税务信息。
在此期间，布罗克曼一直重申，人们不应该“运行来自人类或人工智能的不受信任的代码”，人们不应该暗中信任人工智能来处理他们的税务。当然，这并不会阻止人们这样做，这取决于这种人工智能的公共模型最终有多强大。这与在专业环境中运行这些AI模型的真实风险有关，即使AI错误的几率很小。
“它并不完美，但你也不是，”布罗克曼说。
二、OpenAI正在让更多的公司迷上人工智能。
OpenAI显然利用了其最近宣布的数十亿美元与微软的协议，在微软Azure超级计算机上训练GPT-4。奥特曼表示，该公司最新版本的LLM“比以前的模型更有创意，产生的幻觉明显更少，偏见也更少。”不过，他表示，该公司正在邀请更多外部团体评估GPT-4并提供反馈。
当然，这并不是说该系统还没有被几家公司投入使用。语言学习应用“多邻国”(Duolingo)周二下午宣布，它将推出“多邻国Max”高级订阅层。这款应用有GPT-4支持的新功能，可以让人工智能为用户犯错的原因提供“特定情境的解释”。它还允许用户与人工智能聊天机器人练习对话，这意味着那只讨厌的猫头鹰现在可以实时对你的语言错误做出反应。
因为这才是真正的意义所在，让更多的公司付费访问OpenAI的api。Altman提到，新系统将有更多的行为定制，这将进一步允许开发人员针对特定目的微调人工智能。GPT-4的其他客户包括摩根士丹利、可汗学院和冰岛政府。美国商会最近表示，在10年内，几乎所有公司和政府机构都将采用这种人工智能技术。
尽管该公司仍然表示GPT-4有“许多已知的局限性”，包括社会偏见、幻觉和对抗性提示。即使新系统比以前更好，人工智能仍有很大的滥用空间。一些ChatGPT用户已经涌入至少一家流行小说杂志的公开投稿区。现在GPT-4可以写得更长，我们很可能会看到更多长篇人工智能生成的内容充斥互联网。
原文：
OpenAI’s newly-unveiled GPT-4 is being released to limited ChatGPT Plus subscribers and to select businesses using the company’s API.
The new system is now capable of handling over 25,000 words of text, according to the company. GPT-3 was only capable of handling 2,048 linguistic tokens, or 1,500 words at a time. This should allow for “more long-from content creation.” That’s not to say some folks haven’t tried writing entire novels with earlier versions of the LLM, but this new version could allow text to remain much more cohesive.
Those who have been hanging on OpenAI’s every word have been long anticipating the release of GPT-4, the latest edition of the company’s large language model. OpenAI said it spent six months modifying its LLM to make it 82% less likely to respond to requests for “disallowed content” and 40% more likely to produce factual responses than previous versions. Of course, we don’t have access to OpenAI’s internal data that might show how often GPT-3 was liable to lie or showcase banned content. Few people outside OpenAI have been able to take the new system on a test run, so all these claims could very well just be mere puffery.
Folks looking to get access to GPT-4 either has to be one of the select few companies given early access, or join a waitlist for the GPT-4 API or be one of the lucky few selected ChatGPT Plus subscribers.
The new system also includes the ability to accept images as inputs, allowing the system to generate captions, or provide analyses of an image. The company used the example of an image with a few ingredients, and the system provided some examples for what food those ingredients could create. OpenAI CEO Sam Altman wrote on Twitter that the company was “previewing” its visual inputs but it will “need some time to mitigate the safety challenges.”
What else is GPT-4 good at?
In a Tuesday livestream, OpenAI showed off a few capabilities of GPT-4, though the company constantly had to remind folks to not explicitly trust everything the AI produces.
In the livestream, OpenAI President Greg Brockman showed how the system can complete relatively inane tasks, like summarizing an article in one sentence where every word starts with the same letter. He then showed how users can instill the system with new information for it to parse, adding parameters to make the AI more aware of its role.
The company co-founder said the system is relatively slow, especially when completing complex tasks, though it wouldn’t take more than a few minutes to finish up requests. In one instance, Brockman made the AI create code for an AI-based Discord bot. He constantly iterated on the requests, even inputting error messages into GPT-4 until it managed to craft what was asked. He also put in U.S. tax code to finalize some tax info for an imaginary couple.
All the while, Brockman kept reiterating that people should not “run untrusted code from humans or AI.” And that people shouldn’t implicitly trust the AI to do their taxes. Of course, that won’t stop people from doing exactly that, depending on how capable public models of this AI end up being. It relates to the very real risk of running these AI models in professional settings. Even when there’s only a small chance of AI error.
“It’s not perfect, but neither are you,” Brockman said.
OpenAI is getting even more companies hooked on AI
OpenAI has apparently leveraged its recently-announced multi-billion dollar arrangement with Microsoft to train GPT-4 on Microsoft Azure supercomputers. Altman said this latest version of the company’s LLM is “more creative than previous models. It hallucinates significantly less, and it is less biased.” Still, he said the company was inviting more outside groups to evaluate GPT-4 and offer feedback.
Of course, that’s not to say the system isn’t already been put into use by several companies. Language learning app Duolingo announced Tuesday afternoon that it was implementing a “Duolingo Max” premium subscription tier. The app has new features powered by GPT-4 that lets AI offer “context-specific explanations” for why users made a mistake. It also lets users practice conversations with the AI chatbot. It is meaning that damn annoying owl can now react to your language flubs in real time.
Because that’s what this is really about, getting more companies to pay to access OpenAI’s APIs. Altman mentioned the new system will have even more customization of behavior. Which will further allow developers to fine-tune AI for specific purposes. Other customers of GPT-4 include the likes of Morgan Stanley, Khan Academy, and the Icelandic government. The U.S. Chamber of Commerce recently said in 10 years, virtually every company and government entity will be up on this AI tech.
Though the company still said GPT-4 has “many known limitations” including social biases, hallucinations, and adversarial prompts. Even if the new system is better than before, there’s still plenty of room for the AI to be abused. Some ChatGPT users have flooded open submission sections for at least one popular fiction magazine. Now that GPT-4 can write even longer, It’s likely we’ll see even more long-form AI-generated content flooding the internet.
本文由数字化转型网（www.szhzxw.cn）翻译而成，作者:Kyle Barr；翻译：数字化转型网Nancy；翻译审核：数字化转型网默然。
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