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Researchers at CMU have developed a technique for quadruped robots to use their legs as manipulators, allowing them to push buttons, move objects, and climb. The technique involves training separate manipulation and locomotion policies and represents a middle ground between traditional expert systems and end-to-end training. This advancement in robot agility could have practical applications in various industries.
Recent advancements in AI video generation, such as the new Runway model, have demonstrated the potential for high-resolution videos to be produced by AI models. While the current video quality is still not perfect, researchers predict that in the coming years, AI-generated videos could become indistinguishable from real videos. This has implications for various fields, including content creation, entertainment, and potentially even malicious use.
Students at BYU conducted a study to test how accurately AI models could predict voter preferences based on demographic information. They found that by instructing GPT-3 models to simulate personas and respond to surveys, the models' predictions closely matched those of the human population. This raises interesting questions about the extent to which AI can accurately infer political views based on demographic factors and opens up possibilities for its application in political campaigns.
Stanford's AI Index Report provides a comprehensive overview of the state of AI across various domains. Key findings include the increasing industry-led development of AI, the growing number of AI-related incidents and controversies, and the prevalence of AI-related bills and legal cases. The report also highlights the rapid growth of AI research in the field of finance and the ethical implications associated with AI's predictive abilities and its impact on political preferences.
Hugging Face, a popular AI model repository and collaboration platform, introduces an approach called Hugging GPT that enables users to query multiple AI models for various text-related tasks. The models within the Hugging GPT system leverage different AI models based on given user queries, allowing for more flexible and adaptive responses. This approach demonstrates the potential for building powerful APIs that provide context-aware and personalized information retrieval and generation capabilities.
This podcast episode provides an overview and history of Sam Altman, referred to as the Chat GPT King and the CEO of OpenAI. It delves into his beliefs about the potential positive and negative impacts of AI, as well as his thoughts on current AI being potentially overhyped. The article also highlights some interesting aspects of Altman's personal life, such as his childhood challenges and his lack of equity in OpenAI.
The podcast discusses the European Union's efforts to create a comprehensive and ambitious AI Act for regulating AI within the European Union. The Act categorizes different applications of AI based on their risk level and imposes corresponding requirements for auditing, transparency, and more. The complexity lies in defining terms and implementing the Act, and the podcast speculates on how this regulation may inspire policy responses worldwide due to Europe's significant impact on compliance standards.
Our 117th episode with a summary and discussion of last week's big AI news!
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