Towards Data Science 

Note: The TDS podcast's current run has ended. Researchers and business leaders at the forefront of the field unpack the most pressing questions around data science and AI.

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Title	Date published
130. Edouard Harris - New Research: Advanced AI may tend to seek power *by default*	2022-10-12
129. Amber Teng - Building apps with a new generation of language models	2022-10-05
128. David Hirko - AI observability and data as a cybersecurity weakness	2022-09-28
127. Matthew Stewart - The emerging world of ML sensors	2022-09-21
126. JR King - Does the brain run on deep learning?	2022-09-14
125. Ryan Fedasiuk - Can the U.S. and China collaborate on AI safety?	2022-09-07
124. Alex Watson - Synthetic data could change everything	2022-05-18
123. Ala Shaabana and Jacob Steeves - AI on the blockchain (it actually might just make sense)	2022-05-12
122. Sadie St. Lawrence - Trends in data science	2022-05-04
121. Alexei Baevski - data2vec and the future of multimodal learning	2022-04-27
120. Liam Fedus and Barrett Zoph - AI scaling with mixture of expert models	2022-04-20
119. Jaime Sevilla - Projecting AI progress from compute trends	2022-04-13
118. Angela Fan - Generating Wikipedia articles with AI	2022-04-06
117. Beena Ammanath - Defining trustworthy AI	2022-03-30
116. Katya Sedova - AI-powered disinformation, present and future	2022-03-23
115. Irina Rish - Out-of-distribution generalization	2022-03-09
114. Sam Bowman - Are we *under-hyping* AI?	2022-03-02
113. Yaron Singer - Catching edge cases in AI	2022-02-09
112. Tali Raveh - AI, single cell genomics, and the new era of computational biology	2022-02-02
111. Mo Gawdat - Scary Smart: A former Google exec’s perspective on AI risk	2022-01-26

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