All Episodes
Displaying episodes 1 - 26 of 26 in total
Llama 3: Can't Compete with a Capuchin
Tom and Nate cover the state of the industry after Llama 3. Is Zuck the best storyteller in AI? Is he the best CEO? Are CEOs doing anything other than buying compute? ...
Into the AI Trough of Disillusionment
Tom and Nate catch up after a few weeks off the pod. We discuss what it means for the pace and size of open models to get bigger and bigger. In some ways, this disillu...
AI's Eras Tour: Performance, Trust, and Legitimacy
Tom and Nate catch up on the ridiculous of Nvidia GTC, the lack of trust in AI, and some important taxonomies and politics around governing AI. Safety institutes, rewa...
Claude 3: Is Nathan too bought into the hype?
Tom and Nate sit down to discuss Claude 3 and some updates on what it means to be open. Not surprisingly, we get into debating some different views. We cover Dune 2's ...
Model release therapy session #1
This week Tom and Nate cover all the big topics from the big picture lens. Sora, Gemini 1.5's context length, Gemini's bias backlash, Gemma open models, it was a busy ...
Waymo vs. the time honored human experiences, vandalism and defacement
A metaphor episode! We are trying to figure how much the Waymo incident is or is not about AI. We bring back our Berkeley roots and talk about traditions in the Bay ar...
We believe in the metaverse
... and you should too. We catch up this week on all things Apple Vision Pro and how these devices will intersect with AI. It really turned more into a commentary on t...
How to OLMost find a Waifu
Wow, one of our favorites. This week Tom and Nate have a lot to cover. We cover AI2's new OPEN large language models (OLMo) and all that means, the alchemical model me...
Tom's Story: to get through grad school, become a sperm whale
We recovered this episode from the depth of lost podcast recordings! We carry on and Tom tells the story of his wonderful sociology turned AI Ph.D. at Berkeley. This c...
Non-profits need to be businesses too
This week Tom and Nate catch up on two everlasting themes of ML: compute and evaluation. We chat about AI2, Zuck's GPUs, evaluation as procurement, NIST comments, negl...
How the US could lose (and win!) against China in AI, with Jordan Schneider of ChinaTalk
We're excited to bring you something special today! Our first cross over episode brings some fresh energy to the podcast. Tom and Nate are joined by Jordan Schneider o...
AI is literally the culture war, figuratively speaking
Tom and Nate are ready to kick off the year, but not too ready! There's a ton to be excited about this year, but we're already worried for some parts of it. In this ep...
What I wish someone had told me
The end of the year is upon us! Tom and Nate bring a reflective mood to the podcast along with some surprises that may be a delight.Here are some links for the loyal f...
Everyone wants fair benchmarks, but do you even lift?
No stone is left unturned on this episode. As the end of the year approaches, Tom and Nate check in on all the vibes of the machine learning world: torrents, faked dem...
Cybernetics, Feedback, and Reinventionism in CS
In this episode, Tom gives us a lesson on all things feedback, mostly where our scientific framings of it came from. Together, we link this to RLHF, our previous work ...
Q* and OpenAI's Strange Loop: We Pecan't Even
We break down all the recent events of AI, and live react to some of the news about OpenAI's new super-method, codenamed Q*. From CEOs to rogue AI's, no one can be tru...
OpenAI: Developers, Hegemons, and Origins
We cover all things OpenAI as they embrace their role as a consumer technology company with their first developer keynote.Lots of links:Dev. day keynote https://www.yo...
Executive Orders, Safety Summits, and Open Letters, Oh My!
We discuss all the big regulation steps in AI this week, from the Biden Administration's Executive Order to the UK AI Safety Summit. Links:Link the Executive OrderLink...
Transparency (Tom and Nate's Version)
This week, we dunk on The Center for Research on Foundation Models's (Stanford) Foundation Model Transparency Index.Yes, the title is inspired by Taylor.Some links:The...
Techno-optimism: Safety, Ethics, or Fascism?
Tom and Nate sit down to discuss Marc Andreessen's Techno-Optimist Manifesto. A third wave of AI mindsets that squarely takes on both AI Safety and AI Ethics communiti...
Methods of Rationality in the Time of Hype
This week, Tom and Nate discuss some of the core and intriguing dynamics of AI. We discuss the history of the rationality movement and where Harry Potter fan fiction f...
Developing LLMs: Open, closed, or democratic?
This is a big one. Getting going on if LLMs should be more open or more closed. We cover everything, OpenAI, scaling, openness for openness sake (relative to OpenAI), ...
As Above, So Below: Alchemy, AI Safety, and RLHF
Tom and Nate discuss a few core topics of the show. First, we touch base on the core of the podcast -- the difference between empirical science, alchemy, and magic. Ne...
AI in public: education, roads, and institutions
Tom and Nate discuss some of the public institutions that form the bedrock of society -- education and roads -- and how AI is poised to shake them up.Some related read...
Alchemy, Oppenheimer, and the quest for AGI
Tom and Nate discuss some of the most dominant metaphors in machine learning these days -- alchemy and deep learning's roots, the Oppenheimer film and a modern "Manhat...
Teaser: Welcome to The Retort
A brief introduction to the many problems facing AI and a sneak peak into episode 1, coming soon!