Introduction

X (formerly Twitter) is an excellent platform for discussing diverse topics. By following knowledgeable individuals, you can gain profound insights into AI and discover the latest trends. Keeping that in mind, we have created a list of 12 top generative AI influencers on X. These influencers offer perspectives from various backgrounds, such as education, leadership, and innovation. Following these X Generative AI influencers will keep you updated with the latest trends, allow you to explore fascinating research, and provide invaluable insights.

Fei-Fei Li

Fei-Fei Li is a Co-director of Human-Centered Artificial Intelligence and the Vision & Learning Lab at Stanford Institute. She is the inaugural Sequoia professor in their computer science department as well. She has also worked as Vice President at Google and Chief Scientist of AI/ML at Google Cloud. Over her years of experience, Li has worked in diverse areas. They range from cognitively inspired AI and deep learning to machine learning, computer vision, and AI in healthcare.

Regarding her research, she has published over 200 scientific articles at conferences and significant journals in the relevant fields. ImageNet, developed by Fei-Fei Li, is a revolutionary project in the latest frontiers of artificial intelligence and deep learning.

She has received many awards, including ELLE Magazine’s 2017 WoMagazine’sh, Foreign Policy’s Global Thinker of 2015, and the prestigious “Great Immigrants: The Pride of America” by Carnegie Foundation in 2016. As an industry leader, she also stands as a flag bearer for diversity in AI and STEM at the national level.

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Anima Anandkumar

Amina Anandkumar is an India-born Bren professor at Caltech and serves as a Senior Director of AI Research at NVIDIA. She was previously a Principal Scientist at Amazon Web Services as well. Anandkumar holds degrees from the Indian Institute of Technology (IIT) Madras and Cornell University and is a fellow of ACM, IEEE, and the Alfred P. Solan Foundation.

She is an influencer with over 150k followers and shares updates on large-scale machine learning, non-convex optimization, and high-dimensional statistics. Her work in developing novel artificial intelligence has accelerated AI’s scientific applications, including scientific simulations, weather forecasting, and drug design. Her HPC-based COVID-19 Research was recognized at NeurIPS and was awarded the ACM Gordon Bell Special Prize.

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Demis Hassabis

With over 128k followers on Twitter, Demis Hassabis is the co-founder and CEO of DeepMind, a leading AI research company. DeepMind has achieved groundbreaking advancements in AI. It includes developing the AlphaGo program that defeated human world champions in the ancient game of Go. While DeepMind doesn’t organize a specific annual event, Demis frequently participates in conferences and events worldwide. Thus, he shares his insights into DeepMind’s research and AI developments.

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Lex Fridman

Lex Fridman, a generative AI influencer, is a DeepMind Research Scientist at the Massachusetts Institute of Technology (MIT), immersed in various captivating research areas. His primary focus encompasses human-robot interaction and machine learning. Furthermore, he delves into how humans and robots can collaborate and communicate effectively across various contexts.

Fridman’s contributions extend to advancing autonomous vehicles and the broader realm of human-centered artificial intelligence systems. In addition to his research endeavors, Fridman hosts the renowned Lex Fridman Podcast. Here, he engages in dynamic conversations with various guests, including academics, entrepreneurs, athletes, and creatives.

Notable figures like Elon Musk, Mark Zuckerberg, and Joe Rogan have graced his podcast. This highlights Fridman’s ability to delve into a wide range of topicsFridman’sding experts. With a Ph.D. and a deep involvement in robotics, artificial intelligence, and autonomous vehicles, Fridman’s academic background serves as a solid foundation for research, which leverages large-scale, real-world data to pioneer learning-based methods for perception, control, and planning in complex systems.

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Andrej Karpathy

Andrej Karpathy, a Slovak-Canadian PhD holder from Stanford, is building a kind of JARVIS at OреոΑӏ. He was the Director of AI and Autopilot Vision at Tesla. Karpathy is most passionate about deep neural nets. He started his journey from Toronto with a double major in Computer Science and Physics, after which he went to Columbia for further studies. Karpathy worked with Michiel van de Panne on learning controllers for physically simulated figures.

He also worked with Fei-Fei Li during his Ph.D. at Stanford Vision Lab, where he worked on the Convolutional Neural Network and Recurrent Neural Network architectures and their applications in Natural Language Processing and Computer Vision. Furthermore, he designed the course CS 231n: Convolutional Neural Networks for Visual Recognition and was its first primary instructor. Moreover, he is an enthusiastic blogger, a developer of deep learning libraries, and a passionate Data Science expert.

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Yann LeCun

While exploring the development of AI, the first honorable mention goes to Yann LeCun, who used to work for Facebook and is now serving as a Chief AI Scientist of Meta AI. Furthermore, he has also been endorsed for the Silver Professor position at New York University. He enjoys close connections with the Courant Institute for Mathematical Sciences and the NYU Center for Data Science. It is not surprising that LeCun has a reputation for being a leader in machine learning and AI. One of his most significant accomplishments is The well-known convolutional network that solves recognition problems from voice and video to pictures.

What is more intriguing is that he is co-directing the CIFAR program, Neural Computation and Adaptive Perception, along with Yoshua Bengio. Yann LeCun, Yoshua Bengio, and Geoffrey Hinton became the Turing awarded 2018 ACM fellows for their outstanding achievements in innovative deep learning. His collection of research areas, such as computer vision, natural language processing, robotics, and computational neuroscience, would be his expertise.

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Greg Brockman

Greg Brockman, a software developer, investor, and entrepreneur in America, is an IT entrepreneur who has significantly influenced the IT industry. He, along with some other people, was the initiator of OpenAI in 2015, where he took the position of President and, whose role is to advance AI for the betterment of the human race. Before taking on a role at OpenAI, Brockman was the Chief Technology Officer at Stripe, and he was a significant contributor to the company, which had five staff members and had ended up employing 205 staff members after the considerable growth.

Brockman is the supreme of artificial intelligence and machine learning, although he may not be the only one. He is one of the most considerable personalities in technological innovations. Brokman is labeled as a “10x engineer,” as he was the first person to exhibit the previously mentioned characteristics in this field. He is a triumphant symbol of excellent work ethic and programming genius.

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Kirk D Borne

Dr. Kirk Borne is a luminary in data science, machine learning, and AI, wielding his expertise as the Chief Science Officer at DataPrime, Inc., and as the Founder and Owner of Data Leadership Group LLC. With a Ph.D. in Astrophysics from Caltech, Borne boasts a robust educational background. His professional journey encompasses a diverse array of roles, including serving as a Professor of Astrophysics and Computational Science at George Mason University. Renowned for his pioneering work in transdisciplinary data science, big data, and large databases, Borne is a sought-after speaker, content creator, and advisor to numerous startups. His impactful contributions extend across domains such as data mining, knowledge discovery, and scientific data mining, solidifying his status as a leading authority in the field.

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Aravind Srinivas

As the CEO and Co-founder of Perplexity, Aravind Srinivas, a generative AI influencer, has spearheaded the development of an innovative AI-powered answer engine that has reshaped the search landscape. Perplexity’s approach involves extracting data from Perplexity and utilizing large language models to generate natural responses with citations for accuracy. Since its inception in 2022, Perplexity has garnered significant attention and investment, raising over $100 million from notable investors like Jeff Bezos and Susan Wojcicki. The company’s commitment to evidence-based information sets it apart in an arena where accuracy is paramount.

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Jerry Liu

Jerry Liu is the CEO and Co-founder of LlamaIndex. He has leveraged his extensive background in machine learning, research, and startups to create an open-source tool that streamlines data management and query interfaces for large language model applications. With experience at Robust Intelligence and Uber, Liu has honed his ML monitoring and self-driving AI expertise. Therefore making substantial contributions to these fields. LlamaIndex represents a pivotal advancement in facilitating access to and utilization of large language models. Hence, Liu is critical in integrating AI technologies into various domains.

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Allie K Miller

With 774,211 Followers on LinkedIn, this generative AI influencer is the US Head of AI Business Development for Startups and Venture Capital at Amazon. She drives the growth of leading AI companies. Recognized as the “AI Innovator of the Year” by Forbes and the AI Summit 2019, Allie is highly” regarded in the industry. She is an ambassador for the American Association for the Advancement of Science (AAAS) and Advancing Women in Product, a 10,000-member organization. Allie has emerged victorious in three national innovation competitions, showcasing her exceptional talent and expertise.

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Julien C

Julien Chaumond, co-founder of Hugging Face, has played a vital role in advancing natural language processing and AI by providing tools and resources tailored to NLP practitioners. Hugging Face’s offerings, including pre-trained models and libFace, have become indispensable assets in the NLP community. Chaumond’s involvement in ventures like Prodcast and Chaumond’s showcases his multifaceted contributions to research, engineering, and entrepreneurship within the tech industry. His endeavors have pushed the boundaries of NLP and fostered a collaborative ecosystem for AI innovation.

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Why Follow these X Generative AI Influencers?

Generative AI influencers play a crucial role in advancing the field and fostering innovation for several reasons:

• Technical Expertise: The required knowledge of machine learning, neural networks, and probabilistic modeling, a discipline that is demanding at any time, to overview the fast-growing field of generative artificial intelligence briefly. Through the help of technically competent influencers, new and experienced researchers and practitioners can get some assistance in going through hindrances and trying out new research directions because these commentators may offer advice, support, and mentorship.
• Knowledge Dissemination: Influencers in generative AI typically play the role of educators and communicators, teaching others about the latest novelties, approaches, and best practices in AI. These interfaces allow ordinary people to access and interact with generative AI while democratizing knowledge and communicating ideas through talks, seminars, tutorials, and online materials.
• Community Building: Influencers who are very popular among academicians, engineers, students, and curious people are responsible for maintaining and enhancing the niche. To create a positive culture of innovation and collaboration, various sources of communication, such as conferences, meet-ups, and forums where participants can meet, cooperate, and exchange ideas, are provided.
• Inspiration and Motivation: The generation of AI is the fruit of the work and knowledge of many influencers who now serve as inspiration and role models for future practitioners and AI researchers. They have the potential to motivate other people to take risks, put in the effort to achieve their dreams, and undertake massive projects by giving themselves examples of the creative projects, success stories, and winning contributions they make to the sector.

Conclusion

Generative AI is still a developing and emerging field. Twitter is undeniably an instant resource for receiving information, joining talks, and talking to experts. Users will be introduced to tenders, skills, and hard-earned knowledge, specially selected generative AI influencers.

If you want to make a career in Generative AI, enroll in our GenAI Pinnacle Program today!