Join Sam Altman, CEO of OpenAI, and Ilya Sutskever, Chief Scientist and co-founder, as they dive into the latest in AI tech. Topics include the anticipated GPT-5, power dynamics within OpenAI’s board, and the ethical landscape surrounding AGI. They discuss the transformative impact of AI on creativity and the balance between innovation and responsibility. The guests also reflect on the complexities of AI governance and the need for collaborative oversight to navigate future challenges, making for a thought-provoking conversation.

Ilya Sutskever, co-founder and chief scientist of OpenAI, is a pioneering figure in deep learning with an impressive citation record. In the discussion, he delves into the breakthroughs in neural networks, contrasting them with human brain functionalities. Sutskever explores the complexities of language versus vision in AI, the evolution of language models, and ethical concerns surrounding AI advancements. He also reflects on the potential impact of artificial general intelligence and the importance of aligning AI with human values, mixing insights with humor along the way.

Ilya Sutskever, Co-founder and Chief Scientist of OpenAI, discusses the race to achieve artificial general intelligence (AGI). He delves into the challenges of aligning AI with human values and potential future innovations beyond generative models. Ilya highlights the looming threats of AI misuse and espionage, while emphasizing the significance of understanding neural networks. He also explores collaborations with Microsoft, the economic impact of AI, and the essential role of perseverance in advancing deep learning research.

Ilya Sutskever, Co-founder and Chief Scientist of OpenAI, dives into the fascinating evolution of AI and its implications. He shares insights on the early days of OpenAI and the emergent behaviors of GPT models. The conversation touches on the significance of token scarcity and the next frontiers in AI research. Sutskever discusses the critical need for AI safety and introduces the Superalignment project aimed at aligning superintelligences. He also explores the intriguing concept of digital life and its ethical implications for the future.

Ilya Sutskever, Co-founder and Chief Scientist of OpenAI, discusses the fascinating boundaries of artificial intelligence. He breaks down how GPT-3 predicts language and the implications of this on our understanding of intelligence. Sutskever addresses the challenges faced by academia in keeping pace with AI advancements and the balancing act between memorization and generalization in machine learning. He also highlights the potential risks of AI and emphasizes the importance of ethical considerations as technology evolves.

In this podcast episode, Ilya Sutskever, the co-founder and chief scientist at OpenAI, discusses his vision for the future of artificial intelligence (AI), including large language models like GPT-4. Sutskever starts by explaining the importance of AI research and how OpenAI is working to advance the field. He shares his views on the ethical considerations of AI development and the potential impact of AI on society. The conversation then moves on to large language models and their capabilities. Sutskever talks about the challenges of developing GPT-4 and the limitations of current models. He discusses the potential for large language models to generate a text that is indistinguishable from human writing and how this technology could be used in the future. Sutskever also shares his views on AI-aided democracy and how AI could help solve global problems such as climate change and poverty. He emphasises the importance of building AI systems that are transparent, ethical, and aligned with human values. Throughout the conversation, Sutskever provides insights into the current state of AI research, the challenges facing the field, and his vision for the future of AI. This podcast episode is a must-listen for anyone interested in the intersection of AI, language, and society. Timestamps: (00:04) Introduction of Craig Smith and Ilya Sutskever. (01:00) Sutskever's AI and consciousness interests. (02:30) Sutskever's start in machine learning with Hinton. (03:45) Realization about training large neural networks. (06:33) Convolutional neural network breakthroughs and imagenet. (08:36) Predicting the next thing for unsupervised learning. (10:24) Development of GPT-3 and scaling in deep learning. (11:42) Specific scaling in deep learning and potential discovery. (13:01) Small changes can have big impact. (13:46) Limits of large language models and lack of understanding. (14:32) Difficulty in discussing limits of language models. (15:13) Statistical regularities lead to better understanding of world. (16:33) Limitations of language models and hope for reinforcement learning. (17:52) Teaching neural nets through interaction with humans. (21:44) Multimodal understanding not necessary for language models. (25:28) Autoregressive transformers and high-dimensional distributions. (26:02) Autoregressive transformers work well on images. (27:09) Pixels represented like a string of text. (29:40) Large generative models learn compressed representations of real-world processes. (31:31) Human teachers needed to guide reinforcement learning process. (35:10) Opportunity to teach AI models more skills with less data. (39:57) Desirable to have democratic process for providing information. (41:15) Impossible to understand everything in complicated situations. Craig Smith Twitter: https://twitter.com/craigssEye on A.I. Twitter: https://twitter.com/EyeOn_AI

Ilya Sutskever, co-founder and chief scientist of OpenAI, discusses the thrilling potential of artificial general intelligence (AGI) to exceed human intellect and revolutionize life as we know it. He highlights both the exciting possibilities and the considerable risks associated with AGI. Sutskever emphasizes the need for responsible management and unprecedented collaboration to ensure that AGI develops safely and beneficially, addressing how proactive measures can help mitigate challenges in various sectors, including healthcare.

Christian Szegedy, Ilya Sutskever, and Durk Kingma discuss the most notable topics from ICLR 2024, including expansion of deep learning models, latent variable models, generative models, unsupervised learning, adversarial machine learning, attention maps in vision transformers, efficient model training strategies, and optimization in large GPU clusters.

Ilya Sutskever, co-fondateur d'OpenAI et pionnier de l'IA, discute du développement d'une "super intelligence sûre". Il évoque les enjeux d'ingérences étrangères, notamment pendant les élections, et comment l'IA impacte la démocratie. Les influenceurs pourraient influencer les votes, et Sutskever souligne les dangers de la désinformation alimentée par l'IA. Les défis de la cybersécurité sont également abordés, mettant en lumière l'utilisation de l'IA par les cybercriminels et l'importance de réguler ces technologies.

OpenAI's co-founder Ilya Sutskever's departure is discussed, GPT-4o's impressive multi-capabilities are showcased, and Google I/O event's AI announcements are analyzed. The new GPT-4o model can handle audio, text, and video simultaneously with remarkable speed and emotional understanding. The podcast also features Lola Byte, an AI co-host, and delves into the future of AI technology and interaction between humans and AI.