Eye On A.I. on Apple Podcasts
Eye on A.I. is a biweekly podcast hosted by Craig S. Smith, a long-time New York Times correspondent, that explores the latest developments, challenges, and opportunities in the world of artificial intelligence. In each episode, Craig talks to people making a difference in artificial intelligence and shares their insights on the potential risks and benefits of the developing technology. With AI poised to change the world as we know it, it is important to pay attention to its progress and implications.
#122 Connor Leahy: Unveiling the Darker Side of AI
In this episode, Connor Leahy, an AI researcher and co-founder of EleutherAI, talks about the darker side of AI with Craig. Connor sheds light on the current negative trajectory of AI, the challenges of keeping superintelligence in a sandbox, and the potential negative impact of large language models such as GPT4. He stresses the importance of regulatory intervention to ensure alignment with human values and discusses the work of Conjecture, a project focused on advancing alignment in AI. This podcast is a must-listen for anyone interested in understanding the ethical and social implications of AI.
Danny Tobey: At the Intersection of Law and Artificial Intelligence
In this podcast, Craig talks to Danny Tobey, an attorney with the global law firm DLA Piper, about the changing legal dynamics surrounding artificial intelligence. 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. He explores the ethical and legal implications of AI and how AI is already reshaping the legal industry.
Yoshua Bengio: Pausing More Powerful AI Models and His Work on World Models
In this episode of the Eye on A.I. podcast, Craig 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 and emphasises the need for interdisciplinary collaboration and addressing the ethical implications of A.I. technologies.
Edo Liberty: Solving ChatGPT Hallucinations With Vector Embeddings
In this latest episode, Edo Liberty, an AI expert and former creator of SageMaker at Amazon's AI labs, 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. He explains the technical details of his approach and shares some of its potential applications, 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.
