Can Language Models Be Too Big? 🦜 with Emily...

In this episode, Sam talks with Dev Rishi, GM of AI at Rubrik, about what happens when agents move beyond answering questions and start taking action across tools, systems, and business processes. We explore why the enterprise playbook of static guardrails plus human approval sta ...  Show more

As context windows grow into the millions of tokens, many AI practitioners are questioning whether retrieval-augmented generation (RAG) is still necessary. If modern models can ingest entire libraries of documents, why bother with retrieval at all? In this episode, Alex Bowcut, H ...  Show more

We asked ChatGPT to summarize this episode and this is what it wrote: "In the episode, the host discussed the increasing use of AI language models like ChatGPT in newsrooms. The host explained that ChatGPT, a large language model developed by OpenAI, is being used to automate tas ...  Show more

In this episode of High Theory, Alex Hanna talks with Nathan Kim about Ethical AI. Their conversation is part of our High Theory in STEM series, which tackles topics in science, technology, engineering, and medicine from a highly theoretical perspective. In this episode, Alex hel ...  Show more

Demand for computer power continues to soar, but can the hardware keep up? 

In this episode of High Theory, Matthew Kirschenbaum talks about txt, or text. Not texting, or textbooks, but text as a form of data that is feeding large language models. Will the world end in fire, flood, or text? In the full interview, Matthew recommended Tim Maughan’s novel I ...  Show more