为造福所有人而建：我们的计划
作者：山姆·奥特曼与雅库布·帕乔茨基
每隔几代人，就会有一项新技术彻底改变一切。
想象一下20世纪20年代，电力抵达美国某个乡村小镇时的情景。在电线杆架起之前，日常生活被体力极限所束缚：挑水、手洗衣物、用冰块保存食物，太阳落山后一天便基本结束。电力并没有在一夜之间改变每个家庭，其惠及人群的方式也不均衡。但随着电力的普及，普通人的生活发生了改变。夜晚的灯光延长了白天的活动时间。电泵、电器和冰箱减轻了部分最繁重的日常劳作。收音机将数百英里外的新闻、音乐和联系带入家庭和社区空间。
电力的最初承诺是实用性的，但其更深层的影响在于，随着越来越多的人能够使用它，它开启了新的可能性。随着时间的推移，大量新可能性涌现出来，机器和计算机极大地加速了医学、工程学以及许多其他领域的进步。到20世纪末，人类平均寿命延长了20多年，经通胀调整后的收入中位数增长了约三倍。这些成就很大程度上得益于医疗保健、卫生条件和生活水平的进步，而其中许多进步正是由广泛的电气化及相关技术发展所促成或加速的。
这一幕正随着人工智能再次上演。人工智能很快将能够实现非凡的事情。但关键不在于技术本身，而在于人们能用它做什么。它可以帮助人们处理医疗账单、学习新技能、创办小企业、照顾年迈的父母、理解法律或财务决策、将想法变为现实，或是做出科学发现。
虽然夜晚灯光带来的新奇感可能很快就消退了，但人们利用灯光所做的事情却从未停止。而且，由于技术一直是长期创造繁荣的可靠途径，我们认为人工智能应该让每个人都能按需使用，无论何时何地，以他们需要的方式使用。
这样的未来不会自动到来。变革性技术可以集中权力，也可以分散权力。它们可以让少数人的生活更轻松，也可以为多数人扩大机遇。我们的方法根植于一个信念：AI 应当服务于人类——帮助人们追求自身目标，增强他们的能力，并尽可能广泛地分享这项技术带来的益处。
我们的首要承诺是构建服务于人类的 AI。这意味着我们希望广泛地赋能大众，而不是让权力集中在少数公司、政府或个人手中。我们相信，一个更安全的未来是权力被广泛分散的未来，这样世界上更多的人能够参与构建一个具有韧性的生态系统。
我们对 AI 持乐观态度，因为我们相信它能扩展人类的能力与繁荣。但我们也清醒地认识到其中的风险。强大的系统必须保持安全，与人类意图对齐，并受人类控制。OpenAI 的使命是确保 AGI 惠及全人类。这意味着要构建能帮助人们更好地完成自己选择之事的系统，而不是取代人类对重要事务的判断。
完全自动化一切并非我们想要的未来。那将令人感到空虚，并且充满危险。AI 应当帮助人们追求自身目标，而不是脱离这些目标。随着 AI 系统能力越来越强，人类的角色反而变得更加重要：设定方向、权衡取舍、运用判断力，并将价值观、品味、关怀与责任感注入工作之中。
人类未来一个关键的长远角色，将是决定什么事情值得去做。
我们相信，在未来几年内，AI 从事 AI 研究将成为决定进步速度的关键因素。这之所以重要，是因为对齐本身就是一个艰巨的研究难题。为了取得快速而深入的进展，我们的研究人员需要能够帮助我们测试想法、发现错误、探索替代方案并与之共同迭代的 AI 系统。
但更快的技术进步，反而使人类的判断和公共协调变得更加重要，而非相反。未来应当由人类、机构和社会共同塑造，而不仅仅是由那些构建最强大系统的公司来决定。
随着前沿 AI 的持续发展，我们预计国家和全球层面的协调将变得更加重要。我们长期以来一直认为，最终应建立一个国际组织，帮助协调领先的 AI 工作，以降低灾难性风险。合作与共享的安全标准是前进道路上的重要组成部分，尤其是因为商业和国家竞争带来的激励很难回避。此类组织的一个目标应是让世界能够采取协调行动，包括在必要时减缓前沿发展速度，以便社会韧性、安全性和对齐能够跟上步伐。
目前，在 OpenAI，我们有三个主要目标。
构建一个自动化 AI 研究员——一个能够加速并日益自动化研究过程本身的 AI 系统，同时保持可控、可问责且与人类相连。我们内部认为，到 2028 年 3 月，我们可能将有相当一部分研究工作由 AI 系统与我们自己的研究员协同完成。为了在对齐方面取得足够进展，我们相信需要 AI 与我们并肩迭代。这将帮助我们引导向 AGI 后世界的过渡，以便我们共同决定通往未来的道路。
通过加速科学进步、生产力和经济增长来推动经济发展，同时努力确保收益被广泛分享。每个人都应有机会公平分享 AI 创造的繁荣。
为地球上的每个人提供个人 AGI，让他们能够以自己选择的方式，从人类最具变革性的技术之一中受益。
为了实现这一目标，我们正在进入 OpenAI 的第三阶段。
OpenAI 的第一阶段是关于进行 AGI 研究。第二阶段始于我们的研究变得与现实世界相关，我们成为了一家产品公司：部署我们的系统，从人们的使用方式中学习，并朝着安全且符合我们使命的 AGI 持续取得进展。
现在我们正进入第三阶段。经济开始围绕人工智能重塑。核心问题在于，如何让先进的人工智能变得丰富、可负担、安全、有用且足够易用，使每个人和组织都能从中受益。前沿能力只是工作的一部分。更大的任务是将这种能力转化为人们真正能够用来蓬勃发展的工具。
最重要的是，我们相信权力的广泛分配将有助于引领更美好的未来。人类历史表明，权力集中会造成脆弱性，而权力广泛共享则能让社会更具韧性、适应性和自由度。
这就是可及性至关重要的原因。这也是安全、隐私、可负担性、开放生态系统以及公众监督至关重要的原因。
一个良好的人工智能未来，不能是少数机构控制大部分能力和大部分收益的未来。它应该是一个许多人、公司、社区和国家都能建设、受益并掌握权力的未来。我们相信，这场变革应属于每一个人。
如果我们做对了，人工智能就能成为为大众带来更高生产力、创造力、科学进步和经济机遇的基础，我们将实现我们的使命：确保通用人工智能惠及全人类。
*人工智能韧性指的是社会可以建立起来的集体组织、系统和个体，用以预测、承受、适应并快速从人工智能驱动的颠覆中恢复。例如，汽车改变了社会，但只有当社会围绕汽车建立起安全带、交通法规、驾驶执照、碰撞测试和道路基础设施等系统后，它们才变得广泛有益。目标不是阻止人们驾驶——而是让一项强大的技术具备足够的韧性，以实现广泛使用。
Built to benefit everyone: our plan
By Sam Altman and Jakub Pachocki
Every few generations, a new technology changes everything.
Imagine electricity reaching a rural American town in the 1920s. Before power lines arrived, daily life was shaped by physical limits: hauling water, washing clothes by hand, preserving food with ice, and ending much of the day when the sun went down. Electricity did not transform every household overnight, and many of its benefits reached people unevenly. But as access spread, ordinary life changed. Light at night extended the day. Electric pumps, appliances, and refrigeration reduced some of the hardest daily work. Radios brought news, music, and connection from hundreds of miles away into homes and community spaces.
The first promise of electricity was practical, but its deeper impact came from the new possibilities it opened as more people could use it. With time, a lot of new possibilities emerged, with machines and computers greatly accelerating progress in medicine, engineering, and many other fields. By the end of the 20th century the average lifespan had increased by over 20 years and the median inflation-adjusted income tripled or so. These gains were driven in no small part due to the advances in healthcare, sanitation, and living standards, many of which were enabled or accelerated by widespread electrification and related technological progress.
This is happening again with AI. AI will soon be capable of extraordinary things. But the point is not the technology by itself. The point is what people can do with it. It can help someone navigate a medical bill, learn a new skill, start a small business, care for an aging parent, understand a legal or financial decision, turn an idea into something real, or make a scientific discovery.
While the wonder of light at night probably wore off pretty fast, what people decided to do with it did not. And because technology has been a reliable way to deliver prosperity over time, we think AI should be available to everyone to use as much as they need, where and how they need it.
That future will not happen automatically. Transformative technologies can concentrate power, or they can broaden it. They can make life easier for a few, or they can expand opportunity for many. Our approach is rooted in the belief that AI should work for people: helping them pursue their own goals, increasing their capabilities, and distributing the benefits of this technology as widely as possible.
Our first commitment is to build AI in service of humanity. That means we want to empower people broadly, not see power concentrated among a few companies, governments, or individuals. We believe the safer future is one where power is broadly distributed, so more of the world can participate in building a resilience ecosystem.*
We are optimistic about AI because we believe it can expand human capability and prosperity. But we are also clear-eyed about the risks. Powerful systems must remain safe, aligned with human intent, and subject to human control. Our mission at OpenAI is to ensure that AGI benefits all of humanity. That means building systems that help people do more of what they choose, not systems that replace human judgment about what matters.
Entirely automating everything is not the future we want. It would be unfulfilling, and it would be dangerous. AI should help people pursue their goals, not become untethered from them. As AI systems become more capable, the human role becomes more important: setting direction, making tradeoffs, applying judgment, and bringing values, taste, care, and responsibility to the work.
A key long-term role for people will be deciding what is worth doing.
We believe that AI doing AI research will become the determining factor of the pace of progress within the next few years. That matters because alignment is itself a hard research problem. To make fast and deep progress, our researchers will need AI systems that can help test ideas, find mistakes, explore alternatives, and iterate alongside us.
But faster technical progress makes human judgment and public coordination more important, not less. The future should be shaped by people, institutions, and societies, not only by the companies building the most capable systems.
As frontier AI development continues, we expect national and global coordination to become more important. We have long believed there should ultimately be an international organization that helps coordinate leading AI efforts to reduce catastrophic risk. Cooperation and shared safety standards are an important part of the path forward, especially because the incentives around commercial and national competition are hard to escape. One goal of such an organization should be to make it possible for the world to take coordinated action, including slowing frontier development when needed, so societal resilience, safety, and alignment can keep pace.
Currently at OpenAI we have three main goals
Build an automated AI researcher—an AI system that can accelerate and increasingly automate the research process itself, while remaining steerable, accountable, and connected to people. Our internal belief is that by March of 2028 we may have a significant fraction of our research being done by AI systems in tandem with our own researchers. To make sufficient progress on alignment, we believe we will need AIs to iterate alongside us. This will help us navigate the transition to the post-AGI world so that we collectively decide the path toward the future.
Accelerate the economy, by accelerating scientific progress, productivity, and economic growth, while working to ensure the gains are widely shared. Everyone should have an opportunity for a meaningful share in the prosperity AI creates.
Give everyone on Earth a personal AGI, empowering them to benefit from one of humanity's most transformative technologies in whatever way they choose.
To be able to deliver on this, we are entering the third phase of OpenAI.
The first phase of OpenAI was about doing research toward AGI. The second phase began when our research became relevant to the real world and we became a product company: deploying our systems, learning from how people used them, and making continued progress toward AGI that is safe and aligned with our mission.
Now we are entering the third phase. The economy is beginning to reshape around AI. The central question now is how to make advanced AI abundant, affordable, safe, useful, and easy enough for every person and organization to benefit from it. Frontier capability is only part of the job. The bigger task is turning that capability into tools people can actually use to thrive.
Above all, we believe a broad distribution of power will help lead to a better future. Human history shows that concentrated power creates fragility, while widely shared power makes societies more resilient, adaptable, and free.
That is why access matters. It is also why safety, privacy, affordability, open ecosystems, and public oversight matter.
A good AI future cannot be one where a small number of institutions control most of the capability and most of the upside. It should be a future where many people, companies, communities, and countries can build, benefit, and hold power. We believe this transformation should belong to everyone.
If we get this right, AI can become a foundation for greater productivity, creativity, scientific progress, and economic opportunity for the many, and we will achieve our mission: to ensure AGI benefits all of humanity.
*AI resilience refers to the collective organizations, systems, and individuals that society could put in place to anticipate, withstand, adapt to, and rapidly recover from AI-driven disruptions. For instance, the automobile transformed society, but they only became broadly beneficial because societies built systems around them: seatbelts, traffic laws, drivers’ licenses, crash testing, and road infrastructure. The goal wasn’t to stop people from driving—it was to make a powerful technology resilient enough for widespread use.