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You Won’t Believe How OpenAI’s Mira Murati is Revolutionizing Generative AI in the Real World!

Title: OpenAI’s ChatGPT: From Research Demonstration to Commercial Success

Introduction

OpenAI’s Chief Technology Officer, Mira Murati, experienced a significant shift in strategy when the experimental product, ChatGPT, gained 1 million users within just five days of its launch. This unexpected success propelled OpenAI, a company focused on developing artificial intelligence systems capable of generating text, images, and human-like content, to the forefront of the race to commercialize generative AI. While capitalizing on ChatGPT’s popularity, Murati emphasizes that OpenAI’s core ambition remains unchanged: to develop and implement safe artificial general intelligence.

Reshaping the Technology Sector

The launch of ChatGPT has brought about a reshaping of the technology sector, with major players like Google reconsidering their AI strategies and discontinuing rival chatbots. Companies across industries such as media, finance, law, and professional services are now exploring the transformative potential of generative AI. Microsoft, recognizing the commercial value of OpenAI’s technology, made a multi-billion dollar investment in the company and plans to incorporate it into its Office suite. With ChatGPT having around 100 million monthly users, OpenAI has gained insights into the commercial viability of generative AI.

Driving OpenAI’s Product Development

As the leader of OpenAI’s technology team, Murati is spearheading efforts to position ChatGPT as a standalone product and capitalize on its immense popularity. Her team is focused on offering an enterprise subscription to ChatGPT, allowing customers to customize it for specific use cases. OpenAI has also introduced plug-ins, enabling users to perform various tasks such as web browsing, online shopping, and restaurant reservations through ChatGPT. These developments are part of OpenAI’s transformation into a platform company, with its API allowing third parties to integrate OpenAI’s software into their own products.

The Increasing Revenue Need

While OpenAI has made strides in commercializing its products, it faces the challenge of financing the substantial costs associated with training and running large AI models. Estimates suggest that running ChatGPT with 10 million monthly users could cost OpenAI $1 million per day. To address this, OpenAI is leveraging its partnership with Microsoft, which has built a supercomputer capable of handling OpenAI’s workload at a lower cost. OpenAI’s API has also attracted a range of paying customers, including Khan Academy and Morgan Stanley Wealth Management, which tailor the tool to their specific requirements. Despite the need for increased revenue, OpenAI remains committed to its mission of ensuring safe AI implementation.

Addressing AI Risks

As AI technology grows more powerful, concerns about potential risks and ethical implications have come to the forefront. OpenAI acknowledges these concerns and is committed to implementing technical “guardrails” to mitigate the risks associated with AI software. Murati highlights that current AI systems are mainly used as assistance tools to enhance productivity and creativity rather than being relied upon blindly. OpenAI believes in responsible development and is actively engaged in discussions surrounding AI’s potential risks.

Additional Piece: The Future of Generative AI and its Impact on Society

Generative AI, represented by OpenAI’s ChatGPT, has rapidly gained traction and is set to transform various industries. Beyond its current applications, the technology holds immense potential for innovation and disruption. Let us delve deeper into the future of generative AI and its implications for society.

1. Enhancing Creativity and Personalization: Generative AI can empower individuals and businesses to unleash their creative potential. Artists, writers, designers, and marketers can leverage AI-generated content to inspire, streamline workflows, and personalize experiences for consumers.

2. Human-Machine Collaboration: While AI technology continues to advance, the prospect of human-level cognitive tasks being performed solely by machines remains distant. The true potential lies in collaboration between humans and AI systems, where AI augments human abilities rather than replacing them. By working together, humans and AI can achieve unparalleled productivity and problem-solving capabilities.

3. Ethical Considerations: As AI becomes more sophisticated, ethical concerns become paramount. It is crucial to ensure that AI systems are designed with transparency, fairness, and accountability in mind. Regulations, standards, and collaboration between policymakers, industry leaders, and research communities are necessary to manage the ethical challenges associated with AI.

4. Addressing Socioeconomic Impact: The widespread adoption of generative AI has the potential to disrupt traditional industries and job markets. While AI technology can lead to increased efficiency and new opportunities, it is essential to consider the potential socioeconomic impact. Governments, organizations, and individuals must collaborate to ensure that the benefits of generative AI are shared equitably and that reskilling and upskilling programs are in place to support affected workers.

Conclusion

Generative AI, exemplified by OpenAI’s ChatGPT, has quickly gone from a research demonstration to a commercial success. Its popularity has driven OpenAI to reshape the technology sector, attracting major investments and partnerships. As the commercialization of generative AI progresses, it is crucial to address the ethical and socioeconomic implications. By embracing responsible development, collaboration, and thoughtful regulation, society can harness the full potential of generative AI while safeguarding against its risks.

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For Mira Murati, chief technology officer of OpenAI, the evening of November 29 was no different from the others. That evening she returned home from the start-up’s San Francisco offices after her team wrapped up the release of an experimental product: ChatGPT.

ChatGPT was presented as a research demonstration. That plan changed dramatically when the chatbot reached 1 million users within five days of launch. Murati, which was at least an order of magnitude short of his expectations, realized that the company was at the forefront of the race to commercialize generative AI: artificial intelligence systems capable of rapidly producing text, images and human content.

“This reality check has been incredibly important in understanding what to really prioritize and where to go next,” said Murati, who leads the technology team for the 375-person company led by CEO Sam Altman. “We definitely had a major shift when we set out to make the product and implement the technology.”

Now, Murati is leading OpenAI’s efforts for positioning Chat GPT as a standalone product, looking for ways to capitalize on its popularity with tens of millions of consumers, following the dramatic rise of the chatbot. But he insists that despite new financial imperatives, the company’s core ambition remains unchanged.

“Our mission is to get to artificial general intelligence and figure out how to implement it in a safe way,” he said, referring to future software that could perform a variety of human-level cognitive tasks. “And so we’re always very careful not to lose sight of that.”

Meanwhile, the company is reshaping the technology sector. The launch of ChatGPT, which has around 100 million users a month according to SimilarWeb, has led tech giants like Google to redesign their AI strategy and do away with rival chatbots. Companies around the world have begun experimenting with the technology in the belief that it can transform the media, finance, law and professional services industries.

Soon after the release of ChatGPT, Microsoft agreed to a “multi-year, multi-billion dollar” investment in Open AI estimated at $10 billion. The Seattle-based group is also incorporating the underlying technology into its Office suite of productivity apps, a lucrative base of hundreds of millions of large corporate clients.

The chatbot helped clarify the clear commercial value of generative AI for Murati and OpenAI senior management. “Our implementation strategy has now extended to… the ChatGPT platform where we have a direct relationship with the user,” she said. “We can ask them for their feedback, their preferences and use that feedback. . . to improve the code,” he added.

A mechanical engineer who previously worked at augmented reality start-up Magic Leap and electric car maker Tesla, Murati joined the company in 2018 while it was still a nonprofit research lab. He now oversees the mass-market deployment of the OpenAI suite of products, including AI image generator Dall-E, AI Codex code generator, and ChatGPT.

Since she joined, her role has evolved into testing OpenAI’s technology in the real world, so industry partners can build AI versions of products in everything from education, financial services, to law. and to health care.

Murati’s team has begun work on offering an enterprise subscription to ChatGPT, which will allow customers to customize versions of ChatGPT for specific purposes. They have also launched so-called plug-ins, which allow users to stay within ChatGPT while performing tasks such as surfing the web, buying groceries, and booking restaurant tables via Instacart and OpenTable.

Today OpenAI, like many software companies in Silicon Valley, markets itself as a “platform” company, with two types of offerings: one is their API or application programming interface, which allows third parties to integrate the software of OpenAI in their paid products, and the other is ChatGPT. Microsoft, its largest shareholder, will be an independent third revenue channel.

“[ChatGPT] it allows us to reach out to people directly and gather feedback and make our models more aligned, more useful,” Murati said. “And [the API] it’s a platform that allows other people to build on our models.”

OpenAI’s API customers include a range of companies such as education start-up Khan Academy, social media company Snap, and wealth managers such as Morgan Stanley Wealth Management. Everyone pays to tailor the tool to their individual needs. OpenAI, which reportedly made $28 million in 2022, predicted it would make $200 million in 2023.

The company needs to raise revenues to finance the staggering costs of the computing power needed to train and run large AI models, with Altman recently describing the company as on track to become “the start-up at most capital-intensive in Silicon Valley history”.

Estimates put the cost of running ChatGPT, assuming 10 million monthly users, at $1 million per day. Microsoft chief Satya Nadella said Microsoft had built a supercomputer to handle the work of OpenAI and could now handle some AI computations at half the cost of its rivals.

The potential risks of AI software, especially as it becomes more powerful, are in the spotlight of policy makers and the business and research communities.

Among these are challenges such as the spread of AI-generated manipulation and disinformation. Longer term, there are concerns about the existential risks of AI technology possibly behaving in unethical ways, without a sense of human morality.

Last month, 350 industry insiders, including Altman, said mitigating AI’s extinction risk should be a global priority alongside other societal-scale risks like pandemics and nuclear war.

Murati said he supports the use of technical “guardrails” to reduce, eradicate or even prevent some of these hazards.

“Progress is happening very fast, obviously,” he said. “But today we use these systems more as assistance tools. We do not rely on them blindly or entirely. They are more like tools that improve our productivity [and] creativity”.


https://www.ft.com/content/73f9686e-12cd-47bc-aa6e-52054708b3b3
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