I LLM and You Can Too

Recommender systems influence nearly every aspect of our digital lives—but what does it mean for those systems to be fair? Robin Burke joins Data Skeptic to discuss the history of recommender systems, the limitations of optimizing purely for accuracy, and how ideas from social ch ...  Show more

News recommendation algorithms influence far more than what stories we click—they can shape our understanding of the world. In this episode, Kyle Polich speaks with Andreea Iana about responsible AI, filter bubbles, multilingual news recommendation, and her open-source NewsRecLib ...  Show more

In this episode, we discuss the latest move by Kai-Fu Lee's LLM startup, now valued at $1 billion, as it unveils its new open source model, diving into the potential impact this could have on the AI community and the broader technology landscape. We'll explore the implications of ...  Show more

Llama is Meta’s Large Language Model trained on over 15 trillion tokens of publicly available information. It’s available to anyone – from people making custom fan-made entertainment on a smartphone… to, potentially, complex projects that may not have the public’s well-being in m ...  Show more

Large language models (LLMs) like ChatGPT have proven highly capable of a broad array of natural language tasks including summarizing text, generating prose, and answering questions. This episode’s two guests, Dr. Alan Karthikes ...

Could large language models (LLMs) continue improving after training? New innovations like test-time computing and self-evolving models suggest the possibility. OpenAI’s Orion and DeepSeek’s R1 light push reasoning boundaries, while Writer introduces "self-evolving" LLMs that ...