Welcome to Eye on AI, the podcast that keeps you informed about the latest trends, obstacles, and possibilities in the realm of artificial intelligence. In this episode, we have the privilege of engaging in a thought-provoking discussion with Aidan Gomez, an exceptional AI developer and co-founder of Cohere. Aidan’s passion lies in enhancing the efficiency of massive neural networks and effectively deploying them in the real world. Drawing from his vast experience, which includes leading a team of researchers at For.ai and conducting groundbreaking research at Google Brain, Aidan provides us with unique insights and anecdotes that shed light on the AI landscape. During our conversation, Aidan explains his collaboration with the legendary Geoffrey Hinton and their remarkable project at Google Brain. We delve into the intricate architecture of AI systems, demystifying the construction of the transformative transformer algorithm. Aidan generously shares his knowledge on the creation of attention within these models and the complexities of scaling such systems. As we explore the fascinating domain of language models, Aidan discusses their learning process, bridging the gap between code and data. We uncover the immense potential of these models to suggest other large-scale counterparts. We gain invaluable insights into Aidan’s journey as a co-founder of Cohere, an innovative platform revolutionizing the utilization of language technology. Tune in to Eye on AI now to immerse yourself in a captivating conversation that will expand your understanding of this ever-develop field. (00:00) Preview (00:33) Introduction & sponsorship  (02:00) Aidan's background with machine learning & AI (05:10) Geoffrey Hinton & Aidan Gomez working together  (07:55) Aidan Gomez & Google Brain's project  (12:53) Aidan's role in building AI architecture  (15:25) How the transformer algorithm is built (18:25) How do you create attention? (20:40) How do you scale the model? (25:10) How language models learn from code and data (29:55) Did you know the potential of the project? (34:15) Can LLMs suggest other large models? (36:45) How Aidan Gomez started Cohere (41:10) How do people use Cohere? (46:50) Examples of language technology models  (48:40) How Cohere handles hallucinations (52:53) The dangers of AI   Craig Smith Twitter: https://twitter.com/craigss Eye on A.I. Twitter: https://twitter.com/EyeOn_AI

Welcome to Eye on AI, the podcast that explores the latest developments, challenges, and opportunities in the world of artificial intelligence. In this episode, we sit down with Connor Leahy, an AI researcher and co-founder of EleutherAI, to discuss the darker side of AI. Connor shares his insights on the current negative trajectory of AI, the challenges of keeping superintelligence in a sandbox, and the potential negative implications of large language models such as GPT4. He also discusses the problem of releasing AI to the public and the need for regulatory intervention to ensure alignment with human values. Throughout the podcast, Connor highlights the work of Conjecture, a project focused on advancing alignment in AI, and shares his perspectives on the stages of research and development of this critical issue. If you’re interested in understanding the ethical and social implications of AI and the efforts to ensure alignment with human values, this podcast is for you. So join us as we delve into the darker side of AI with Connor Leahy on Eye on AI. (00:00) Preview (00:48) Connor Leahy’s background with EleutherAI & Conjecture   (03:05) Large language models applications with EleutherAI (06:51) The current negative trajectory of AI  (08:46) How difficult is keeping super intelligence in a sandbox? (12:35) How AutoGPT uses ChatGPT to run autonomously  (15:15) How GPT4 can be used out of context & negatively  (19:30) How OpenAI gives access to nefarious activities  (26:39) The problem with the race for AGI  (28:51) The goal of Conjecture and advancing alignment  (31:04) The problem with releasing AI to the public  (33:35) FTC complaint & government intervention in AI  (38:13) Technical implementation to fix the alignment issue  (44:34) How CoEm is fixing the alignment issue   (53:30) Stages of research and development of Conjecture   Craig Smith Twitter: https://twitter.com/craigss Eye on A.I. Twitter: https://twitter.com/EyeOn_AI

In this podcast, we sit down with Danny Tobey, an attorney with the global law firm DLA Piper, to discuss the changing legal dynamics surrounding artificial intelligence. As one of the leading experts in the field, Danny provides valuable insights into the current state of legislation and regulation, the efforts of regulatory bodies like the Federal Trade Commission in tackling issues related to AI, and how the law firm of the future will look as AI continues to transform the economy. With the growing impact of AI on all aspects of our lives, the legal profession is facing unique challenges and opportunities. Danny brings a wealth of knowledge and experience to the conversation, having worked with clients in industries ranging from healthcare to financial services to consumer products. Throughout the podcast, Danny explores the ethical and legal implications of AI, as well as the ways in which AI is already reshaping the legal industry. He provides thoughtful perspectives on how the legal profession can adapt and evolve to meet the demands of an AI-driven economy, and the role that lawyers and regulatory bodies will play in shaping the future of this transformative technology. Whether you're a legal professional looking to stay on top of the latest developments in AI, or simply interested in the ways that AI is changing the legal landscape, this podcast is sure to offer valuable insights and food for thought. So join us as we dive deep into the intersection of law and artificial intelligence with Danny Tobey. Craig Smith Twitter: https://twitter.com/craigssEye on A.I. Twitter: https://twitter.com/EyeOn_AI

In this episode of the Eye on A.I. podcast, host Craig Smith interviews Yoshua Bengio, one of the founding fathers of deep learning and a Turing Award winner. Bengio shares his insights on the famous pause letter, which he signed along with other prominent A.I. researchers, calling for a more responsible approach to the development of A.I. technologies. He discusses the potential risks associated with increasingly powerful A.I. models and the importance of ensuring that models are developed in a way that aligns with our ethical values. Bengio also talks about his latest research on world models and inference machines, which aim to provide A.I. systems with the ability to reason for reality and make more informed decisions. He explains how these models are built and how they could be used in a variety of applications, such as autonomous vehicles and robotics. Throughout the podcast, Bengio emphasises the need for interdisciplinary collaboration and the importance of addressing the ethical implications of A.I. technologies. Don’t miss this insightful conversation with one of the most influential figures in A.I. on Eye on A.I. podcast! Craig Smith Twitter: https://twitter.com/craigssEye on A.I. Twitter: https://twitter.com/EyeOn_AI

Welcome to the latest episode of our podcast featuring Edo Liberty, an AI expert and former creator of SageMaker at Amazon’s AI labs. In this episode, Edo discusses how his team at Pinecone.io is tackling the problem of hallucinations in large language models like ChatGPT. Edo’s approach involves using vector embeddings to create a long-term memory database for large language models. By converting authoritative and trusted information into vectors, and loading them into the database, the system provides a reliable source of information for large language models to draw from, reducing the likelihood of inaccurate responses. Throughout the episode, Edo explains the technical details of his approach and shares some of the potential applications for this technology, including AI systems that rely on language processing. Edo also discusses the future of AI and how this technology could revolutionise the way we interact with computers and machines. With his insights and expertise in the field, this episode is a must-listen for anyone interested in the latest developments in AI and language processing. We have a new sponsor this week: NetSuite by Oracle, a cloud-based enterprise resource planning software to help businesses of any size manage their financials, operations, and customer relationships in a single platform. They've just rolled out a terrific offer: you can defer payments for a full NetSuite implementation for six months. That's no payment and no interest for six months, and you can take advantage of this special financing offer today at netsuite.com/EYEONAI  Craig Smith Twitter: https://twitter.com/craigssEye on A.I. Twitter: https://twitter.com/EyeOn_AI