Today we’re joined by Emily M. Bender, Professor at the University of Washington, and AI Researcher, Margaret Mitchell.
Emily and Meg, as well as Timnit Gebru and Angelina McMillan-Major, are co-authors on the paper On the Dangers of Stochastic Parrots: Can Language Models Be Too Big? 🦜. As most of you undoubtedly know by now, there has been much controv ... Show More
Nov 19
Proactive Agents for the Web with Devi Parikh - #756
Today, we're joined by Devi Parikh, co-founder and co-CEO of Yutori, to discuss browser use models and a future where we interact with the web through proactive, autonomous agents. We explore the technical challenges of creating reliable web agents, the advantages of visually-gro ... Show More
56m 4s
Nov 12
AI Orchestration for Smart Cities and the Enterprise with Robin Braun and Luke Norris - #755
Today, we're joined by Robin Braun, VP of AI business development for hybrid cloud at HPE, and Luke Norris, co-founder and CEO of Kamiwaza, to discuss how AI systems can be used to automate complex workflows and unlock value from legacy enterprise data. Robin and Luke detail high ... Show More
54m 46s
Nov 4
Building an AI Mathematician with Carina Hong - #754
In this episode, Carina Hong, founder and CEO of Axiom, joins us to discuss her work building an "AI Mathematician." Carina explains why this is a pivotal moment for AI in mathematics, citing a convergence of three key areas: the advanced reasoning capabilities of modern LLMs, th ... Show More
55m 52s
Feb 2023
In Machines We Trust: The AI in the newsroom
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
18m 58s
Dec 2022
Ethical AI
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
22m 39s
Oct 2023
Txt
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
19m 54s
Aug 2023
20VC: Spending $2M to Train a Single AI Model: What Matters More; Model Size or Data Size | Hallucinations: Feature or Bug | Will Everyone Have an AI Friend in the Future & Raising $150M from a16z with Noam Shazeer, Co-Founder & CEO @ Character.ai
<p><!-- wp:paragraph --></p> <p>Noam Shazeer is the co-founder and CEO of <a href= "https://beta.character.ai/">Character.AI</a>, a full-stack AI computing platform that gives people access to their own flexible superintelligence. A renowned computer scientist and researcher, Sha ... Show More
35m 9s
Jan 2023
24. Artificial Intelligence: What Is It? What Is It Not? (feat. Susan Farrell, Principal UX Researcher at mmhmm.app)
<p>The term artificial intelligence, AI, is having a bit of a boom, with the explosion in popularity of tools like ChatGPT, Lensa, DALL•E 2, and many others. The praises of AI have been equally met with skepticism and criticism, with cautionary tales about AI information quality, ... Show More
35m 35s