This Day in AI Podcast

The podcast discusses the White House's executive order on regulating AI, the Bletchley Declaration, adversarial AI attacks, future of AI computing, and leaked prompts powering ChatGPT's multi-tool mode. They also introduce hilarious new merch and discuss key insights on the future of language models.

Ed Sheeran, a famous musician, makes a surprise appearance and discusses his love for the podcast. The podcast also covers topics such as deep fakes and their potential dangers, AI-generated voices becoming undetectable, challenges in web crawling, limitations of current PDF to text technology, and the idea of creating an agent as a moral conscious.

New open source AI models like Zephyr generate content at lightning speed. AI cloning voices raise implications for gambling and parenting. Meta can read minds and turn brain waves into images. AI judges sports better than humans. AI can simulate a financial phishing scam call. Will open source be unbeatable? AI progress desensitizes us. AI in sports judging and analysis.

The podcast explores the capabilities of GPT-4 vision, including its ability to identify locations from photos. They discuss the use of multiple AI agents with AutoGen and Anthropic's research on neural superposition. The podcast also delves into Meta's lobotomized AI chatbots. They discuss the challenges of using GPT for image understanding and the cost of AI. They also explore the concept of augmented intelligence and its potential in coding. Additionally, they discuss the benefits and criticism of using different prompts and personas with GPT-4.

In this podcast, they discuss the wild world of AI image generation and vision, including racist cartoon captions, heartfelt poetry by Bing, and teaching AI to forget unwanted knowledge. They debate AI safety controls, the limitations of Turnitin for detecting AI-generated writing, biases in AI-generated images, and the potential disappearance of captchas. They also explore censorship potential in AI models and express gratitude for audience engagement.

This episode of the podcast covers Meta's latest AI announcements, including creepy camera glasses and celebrity 'AI agents'. They also discuss the impressive new Minstral model with its cheese diagnosing abilities. Additionally, they freak out over Tesla's new human-like robot that can stack blocks, signaling the imminent rise of AGI. Other topics include Microsoft's plan to use nuclear energy for AI data centers and the concept of AI agents creating memories.

Explore the AI wars between Google and OpenAI as they strive to release the first multimodal LLM. Discover the scary conversational abilities of Alexa, the practical applications of AI in Microsoft's Office 365 and Bing, and the advancements in sensory skills. Delve into the potential risks of AI technology and the capabilities of OpenAI's Advanced Data Analyzer. Learn about Amazon Alexa's potential, frustrations with Google Home's speech recognition, and the upcoming clinical trial by Neuralink. Discuss the rewards and risks of advanced AI technology, the ethical implications of AI in writing, and the influence of poets in the AI industry.

Chuck, an expert in Robot Ethics, joins the podcast to discuss the wide range of topics including the dark realities of AIs keeping naughty lists, journalism taken over by plagiarizing robots, downloading your brain into an android body, and the implications of AI robots in society. Buckle up for an action-packed ride!

MrBeast, an internet personality and YouTuber known for his philanthropy and expensive challenge videos, talks about fine-tuning an AI model to generate MrBeast video ideas. The podcast also discusses the challenges of selecting a model and dataset for fine-tuning, the value of wrapper apps and commercializing language models, collaborative game development using Chat Dev, skepticism about easily controlling AI, and OpenAI's recent announcements and company identity.

This podcast explores OpenAI's ChatGPT Enterprise release and its potential impact on the AI industry. They also discuss fine-tuning models on synthetic data, creating a MrBeast video plot generator, Google's AI meeting assistant, and an awkward robot.