The article profiles Josh Parker, a 27-year-old engineer at Nvidia who is leading the company’s efforts to make artificial intelligence (AI) more sustainable and energy-efficient. Parker’s work focuses on developing hardware and software solutions to reduce the energy consumption and carbon footprint of AI systems. Key points include: 1) AI models are becoming increasingly complex and energy-intensive, contributing to significant carbon emissions. 2) Parker’s team is working on optimizing AI models to run more efficiently on Nvidia’s hardware, reducing energy consumption. 3) They are also developing new chip architectures and cooling systems to improve energy efficiency. 4) Parker emphasizes the importance of sustainability in AI development, as the technology continues to grow and its environmental impact becomes more significant. 5) The article highlights Nvidia’s commitment to sustainability and Parker’s role in driving these efforts within the company.

The article profiles Jakub Pachocki, a 28-year-old Polish programmer who works at OpenAI and is leading the development of GPT-4, the highly anticipated next generation of OpenAI’s language model. Pachocki’s work on GPT-4 could make him one of the most powerful people in the world by 2024, as the model is expected to be a major leap forward in AI capabilities. The article highlights Pachocki’s background, including his early interest in programming and his education at the University of Warsaw. It also discusses the potential impact of GPT-4, which could be used for a wide range of applications from writing to coding to scientific research. The article notes that while GPT-4 could be a game-changer, it also raises concerns about the ethical implications of such powerful AI systems.

The article profiles Mikhail Parakhin, a 29-year-old engineer at Shopify who owns a significant amount of the company’s stock. According to the author’s calculations, if Shopify’s stock continues to grow at its current rate, Parakhin could become the world’s first trillionaire by 2024. The article highlights Parakhin’s background, including his early interest in coding and his decision to join Shopify in 2016. It also discusses Shopify’s rapid growth and success, particularly during the COVID-19 pandemic when e-commerce sales surged. While the prospect of Parakhin becoming a trillionaire is highly speculative, the article suggests that his wealth could continue to grow substantially if Shopify maintains its momentum. However, the author acknowledges that such projections are subject to numerous variables and uncertainties.

The article profiles Alexandr Wang, the 35-year-old CEO of Scale AI, a startup that provides data labeling services for AI systems. Key points: 1) Scale AI has raised over $600 million from investors like Draymond Green and is valued at $7.3 billion. 2) Wang co-founded Scale AI in 2016 after dropping out of MIT to work on AI projects. 3) Scale AI employs over 300,000 contractors globally to label data for AI training. 4) Wang believes AI will be as transformative as the internet and mobile revolutions. 5) Scale AI’s customers include OpenAI, Nvidia, Toyota, and the U.S. Air Force. 6) Wang aims to make Scale AI an “AI data platform” that powers AI development across industries.

The article profiles Suchi Saria, a 35-year-old professor at Johns Hopkins University who is using artificial intelligence (AI) and machine learning to improve healthcare. Saria’s work involves developing algorithms that can predict medical events like heart attacks or strokes based on patient data. Her goal is to make healthcare more efficient and personalized by identifying high-risk patients early and providing preventive care. The article highlights Saria’s background in computer science and statistics, and her passion for using data to solve real-world problems. It also discusses the challenges of working with complex medical data and the importance of interpretability in AI models used for healthcare. Saria’s research has received recognition, including being named to Forbes’ AI 50 list in 2022. The article portrays her as a rising star in the field of AI for healthcare.

The article profiles Marc Spieler, a 35-year-old executive at Nvidia who leads the company’s AI efforts in robotics and autonomous vehicles. Spieler oversees a team of hundreds of engineers working on AI software and hardware for robots and self-driving cars. He joined Nvidia in 2018 after stints at Qualcomm and Intel. Under Spieler’s leadership, Nvidia has developed AI systems like Isaac for robotics and Drive for autonomous vehicles. The article highlights Nvidia’s growing influence in AI beyond its core gaming and data center businesses. It also discusses the challenges of developing safe and reliable AI systems for real-world applications like robots and self-driving cars. Spieler emphasizes the importance of collaboration between AI experts, roboticists, and automakers to advance these technologies.

The article profiles 37 rising stars in the field of artificial intelligence (AI) who are under the age of 35. These individuals are working on cutting-edge technologies such as robotics, quantum computing, natural language processing, and machine learning. The list includes researchers, entrepreneurs, and engineers from various companies and institutions, including OpenAI, Google, Microsoft, and top universities. The article highlights their significant contributions and achievements in advancing AI, as well as their potential to shape the future of the field. It emphasizes the diverse backgrounds and perspectives of these rising stars, showcasing the multidisciplinary nature of AI. The profiles provide insights into their research areas, innovative projects, and the impact they are making in areas such as healthcare, transportation, and sustainability. The article underscores the importance of nurturing and supporting young talent in AI to drive further breakthroughs and address global challenges.

The article profiles Ian B. Crosby, a lawyer at Susman Godfrey who is leading several high-profile lawsuits against major tech companies over their use of artificial intelligence (AI). Crosby is representing clients who allege that companies like Microsoft, IBM, Amazon, and Google have infringed on their patents related to AI technologies. The lawsuits claim that these tech giants have used patented AI inventions without proper licensing or compensation. Crosby argues that AI is a powerful tool that can be misused, and his goal is to ensure that companies respect intellectual property rights and pay fair royalties. The article highlights Crosby’s background, his legal strategy, and the potential impact of these lawsuits on the rapidly evolving AI industry. It also discusses the broader implications of AI development and the need for ethical and legal frameworks to govern its use.

The article profiles Trishul Chilimbi, a senior vice president at Amazon who oversees the company’s AI chip efforts. Chilimbi leads a team of over 1,000 engineers working on developing custom AI chips to power Amazon’s cloud computing services and consumer devices like Alexa. The article highlights Amazon’s ambitious plans to design its own AI chips to reduce reliance on third-party suppliers and gain a competitive edge in the cloud computing market. Chilimbi’s team is focused on developing AI chips that can handle complex machine learning workloads more efficiently and at lower costs. The article discusses the challenges and opportunities in the AI chip market, and Amazon’s efforts to attract top talent and invest heavily in this area. It also touches on the potential impact of custom AI chips on Amazon’s various businesses, from cloud computing to e-commerce and smart home devices.

The article profiles Matt Steiner, Meta’s Vice President of Ads AI, who is leading the company’s efforts to develop AI-powered advertising solutions. Steiner’s team is responsible for building AI models that optimize ad targeting, delivery, and measurement across Meta’s platforms, including Facebook, Instagram, and WhatsApp. The article highlights Steiner’s background in machine learning and his vision for using AI to create more personalized and effective advertising experiences. Key points include: Meta’s investment in AI for advertising, with the goal of improving ad relevance and performance; the challenges of developing AI models that respect user privacy and comply with regulations; and the potential impact of AI on the digital advertising industry as a whole. The article positions Steiner as a key figure shaping the future of AI-powered advertising at one of the world’s largest tech companies.