130. Edouard Harris - New Research: Advanced AI may tend to seek power *by default*
Progress in AI has been accelerating dramatically in recent years, and even months. It seems like every other day, there’s a new, previously...
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Towards Data Science
Researchers and business leaders at the forefront of the field unpack the most pressing questions around data science and AI.
Episodes
20 of 130 episodes129. Amber Teng - Building apps with a new generation of language models
It’s no secret that a new generation of powerful and highly scaled language models is taking the world by storm. Companies like OpenAI, AI21...
128. David Hirko - AI observability and data as a cybersecurity weakness
Imagine you’re a big hedge fund, and you want to go out and buy yourself some data. Data is really valuable for you — it’s literally going t...
127. Matthew Stewart - The emerging world of ML sensors
Today, we live in the era of AI scaling. It seems like everywhere you look people are pushing to make large language models larger, or more...
126. JR King - Does the brain run on deep learning?
Deep learning models — transformers in particular — are defining the cutting edge of AI today. They’re based on an architecture called an ar...
125. Ryan Fedasiuk - Can the U.S. and China collaborate on AI safety?
It’s no secret that the US and China are geopolitical rivals. And it’s also no secret that that rivalry extends into AI — an area both count...
124. Alex Watson - Synthetic data could change everything
There’s a website called thispersondoesnotexist.com . When you visit it, you’re confronted by a high-resolution, photorealistic AI-generated...
123. Ala Shaabana and Jacob Steeves - AI on the blockchain (it actually might just make sense)
Two ML researchers with world-class pedigrees who decided to build a company that puts AI on the blockchain. Now to most people — myself inc...
122. Sadie St. Lawrence - Trends in data science
As you might know if you follow the podcast, we usually talk about the world of cutting-edge AI capabilities, and some of the emerging safet...
121. Alexei Baevski - data2vec and the future of multimodal learning
If the name data2vec sounds familiar, that’s probably because it made quite a splash on social and even traditional media when it came out,...
120. Liam Fedus and Barrett Zoph - AI scaling with mixture of expert models
AI scaling has really taken off. Ever since GPT-3 came out, it’s become clear that one of the things we’ll need to do to move beyond narrow...
119. Jaime Sevilla - Projecting AI progress from compute trends
There’s an idea in machine learning that most of the progress we see in AI doesn’t come from new algorithms of model architectures. instead,...
118. Angela Fan - Generating Wikipedia articles with AI
Generating well-referenced and accurate Wikipedia articles has always been an important problem: Wikipedia has essentially become the Intern...
117. Beena Ammanath - Defining trustworthy AI
Trustworthy AI is one of today’s most popular buzzwords. But although everyone seems to agree that we want AI to be trustworthy, definitions...
116. Katya Sedova - AI-powered disinformation, present and future
Until recently, very few people were paying attention to the potential malicious applications of AI. And that made some sense: in an era whe...
115. Irina Rish - Out-of-distribution generalization
Imagine, for example, an AI that’s trained to identify cows in images. Ideally, we’d want it to learn to detect cows based on their shape an...
114. Sam Bowman - Are we *under-hyping* AI?
Google the phrase “AI over-hyped”, and you’ll find literally dozens of articles from the likes of Forbes , Wired , and Scientific American ,...
113. Yaron Singer - Catching edge cases in AI
It’s no secret that AI systems are being used in more and more high-stakes applications. As AI eats the world, it’s becoming critical to ens...
112. Tali Raveh - AI, single cell genomics, and the new era of computational biology
Until very recently, the study of human disease involved looking at big things — like organs or macroscopic systems — and figuring out when...
111. Mo Gawdat - Scary Smart: A former Google exec’s perspective on AI risk
If you were scrolling through your newsfeed in late September 2021, you may have caught this splashy headline from The Times of London that...