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Mar 28, 2020
Episode | Date |
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130. Edouard Harris - New Research: Advanced AI may tend to seek power *by default*
|
Oct 12, 2022 |
129. Amber Teng - Building apps with a new generation of language models
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Oct 05, 2022 |
128. David Hirko - AI observability and data as a cybersecurity weakness
|
Sep 28, 2022 |
127. Matthew Stewart - The emerging world of ML sensors
|
Sep 21, 2022 |
126. JR King - Does the brain run on deep learning?
|
Sep 14, 2022 |
125. Ryan Fedasiuk - Can the U.S. and China collaborate on AI safety?
|
Sep 07, 2022 |
124. Alex Watson - Synthetic data could change everything
|
May 18, 2022 |
123. Ala Shaabana and Jacob Steeves - AI on the blockchain (it actually might just make sense)
|
May 12, 2022 |
122. Sadie St. Lawrence - Trends in data science
|
May 04, 2022 |
121. Alexei Baevski - data2vec and the future of multimodal learning
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Apr 27, 2022 |
120. Liam Fedus and Barrett Zoph - AI scaling with mixture of expert models
|
Apr 20, 2022 |
119. Jaime Sevilla - Projecting AI progress from compute trends
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Apr 13, 2022 |
118. Angela Fan - Generating Wikipedia articles with AI
|
Apr 06, 2022 |
117. Beena Ammanath - Defining trustworthy AI
|
Mar 30, 2022 |
116. Katya Sedova - AI-powered disinformation, present and future
|
Mar 23, 2022 |
115. Irina Rish - Out-of-distribution generalization
|
Mar 09, 2022 |
114. Sam Bowman - Are we *under-hyping* AI?
|
Mar 02, 2022 |
113. Yaron Singer - Catching edge cases in AI
|
Feb 09, 2022 |
112. Tali Raveh - AI, single cell genomics, and the new era of computational biology
|
Feb 02, 2022 |
111. Mo Gawdat - Scary Smart: A former Google exec’s perspective on AI risk
|
Jan 26, 2022 |
110. Alex Turner - Will powerful AIs tend to seek power?
|
Jan 19, 2022 |
109. Danijar Hafner - Gaming our way to AGI
|
Jan 12, 2022 |
108. Last Week In AI — 2021: The (full) year in review
|
Jan 05, 2022 |
107. Kevin Hu - Data observability and why it matters
|
Dec 15, 2021 |
106. Yang Gao - Sample-efficient AI
|
Dec 08, 2021 |
105. Yannic Kilcher - A 10,000-foot view of AI
|
Dec 01, 2021 |
104. Ken Stanley - AI without objectives
|
Nov 24, 2021 |
103. Gillian Hadfield - How to create explainable AI regulations that actually make sense
|
Nov 17, 2021 |
102. Wendy Foster - AI ethics as a user experience challenge
|
Nov 10, 2021 |
101. Ayanna Howard - AI and the trust problem
|
Nov 03, 2021 |
100. Max Jaderberg - Open-ended learning at DeepMind
|
Oct 27, 2021 |
99. Margaret Mitchell - (Practical) AI ethics
|
Oct 20, 2021 |
98. Mike Tung - Are knowledge graphs AI’s next big thing?
|
Oct 13, 2021 |
97. Anthony Habayeb - The present and future of AI regulation
|
Oct 06, 2021 |
96. Jan Leike - AI alignment at OpenAI
|
Sep 29, 2021 |
95. Francesca Rossi - Thinking, fast and slow: AI edition
|
Sep 22, 2021 |
94. Divya Siddarth - Are we thinking about AI wrong?
|
Jul 28, 2021 |
93. 2021: A year in AI (so far) - Reviewing the biggest AI stories of 2021 with our friends at the Let’s Talk AI podcast
|
Jul 21, 2021 |
92. Daniel Filan - Peering into neural nets for AI safety
|
Jul 14, 2021 |
91. Peter Gao - Self-driving cars: Past, present and future
|
Jul 07, 2021 |
90. Jeffrey Ding - China’s AI ambitions and why they matter
|
Jun 30, 2021 |
89. Pointing AI in the right direction - A cross-over episode with the Banana Data podcast!
|
Jun 23, 2021 |
88. Oren Etzioni - The case against (worrying about) existential risk from AI
|
Jun 16, 2021 |
87. Evan Hubinger - The Inner Alignment Problem
|
Jun 09, 2021 |
86. Andy Jones - AI Safety and the Scaling Hypothesis
|
Jun 02, 2021 |
85. Brian Christian - The Alignment Problem
|
May 26, 2021 |
84. Eliano Marques - The (evolving) world of AI privacy and data security
|
May 19, 2021 |
83. Rosie Campbell - Should all AI research be published?
|
May 12, 2021 |
82. Jakob Foerster - The high cost of automated weapons
|
May 05, 2021 |
81. Nicolas Miailhe - AI risk is a global problem
|
Apr 28, 2021 |
80. Yan Li - The Surprising Challenges of Global AI Philanthropy
|
Apr 21, 2021 |
79. Ryan Carey - What does your AI want?
|
Apr 14, 2021 |
78. Melanie Mitchell - Existential risk from AI: A skeptical perspective
|
Apr 07, 2021 |
77. Josh Fairfield - AI advances, but can the law keep up?
|
Mar 31, 2021 |
76. Stuart Armstrong - AI: Humanity's Endgame?
|
Mar 24, 2021 |
75. Georg Northoff - Consciousness and AI
|
Mar 17, 2021 |
74. Ethan Perez - Making AI safe through debate
|
Mar 10, 2021 |
73. David Roodman - Economic history and the road to the singularity
|
Mar 03, 2021 |
72. Margot Gerritsen - Does AI have to be understandable to be ethical?
|
Feb 24, 2021 |
71. Ben Garfinkel - Superhuman AI and the future of democracy and government
|
Feb 17, 2021 |
70. Sarah Williams - What does ethical AI even mean?
|
Feb 10, 2021 |
69. Anders Sandberg - Answering the Fermi Question: Is AI our Great Filter?
|
Feb 03, 2021 |
68. Silvia Milano - Ethical problems with recommender systems
|
Jan 27, 2021 |
67. Joaquin Quiñonero-Candela - Responsible AI at Facebook
|
Jan 20, 2021 |
66. Owain Evans - Predicting the future of AI
|
Jan 13, 2021 |
65. Helen Toner - The strategic and security implications of AI
|
Jan 06, 2021 |
64. David Krueger - Managing the incentives of AI
|
Dec 30, 2020 |
63. Geordie Rose - Will AGI need to be embodied?
|
Dec 23, 2020 |
62. Nicolai Baldin - AI meets the law: Bias, fairness, privacy and regulation
|
Dec 16, 2020 |
61. Ben Goertzel - The unorthodox path to AGI
|
Dec 09, 2020 |
60. Rob Miles - Why should I care about AI safety?
|
Dec 02, 2020 |
59. Matthew Stewart - Tiny ML and the future of on-device AI
|
Nov 25, 2020 |
58. David Duvenaud - Using generative models for explainable AI
|
Nov 18, 2020 |
57. Dylan Hadfield-Menell - Humans in the loop
|
Nov 11, 2020 |
56. Annette Zimmermann - The ethics of AI
|
Nov 04, 2020 |
55. Rohin Shah - Effective altruism, AI safety, and learning human preferences from the state of the world
|
Oct 28, 2020 |
54. Tim Rocktäschel - Deep reinforcement learning, symbolic learning and the road to AGI
|
Oct 15, 2020 |
53. Edouard Harris - Emerging problems in machine learning: making AI "good"
|
Oct 08, 2020 |
52. Sanyam Bhutani - Networking like a pro in data science
|
Sep 23, 2020 |
51. Adrien Treuille and Tim Conkling - Streamlit Is All You Need
|
Sep 16, 2020 |
50. Ken Jee - Building your brand in data science
|
Sep 09, 2020 |
49. Catherine Zhou - The data science of learning
|
Sep 02, 2020 |
48. Emmanuel Ameisen - Beyond the jupyter notebook: how to build data science products
|
Aug 26, 2020 |
47. Goku Mohandas - Industry research and how to show off your projects
|
Aug 19, 2020 |
46. Ihab Ilyas - Data cleaning is finally being automated
|
Aug 12, 2020 |
45. Kenny Ning - Is data science merging with data engineering?
|
Aug 05, 2020 |
44. Jakob Foerster - Multi-agent reinforcement learning and the future of AI
|
Jul 29, 2020 |
43. Ian Scott - Data science at Deloitte
|
Jul 22, 2020 |
42. Will Grathwohl - Energy-based models and the future of generative algorithms
|
Jul 15, 2020 |
41. Solmaz Shahalizadeh - Data science in high-growth companies
|
Jul 08, 2020 |
40. David Meza - Data science at NASA
|
Jul 01, 2020 |
39. Nick Pogrebnyakov - Data science at Reuters, and the remote work after the coronavirus
|
Jun 24, 2020 |
38. Matthew Stewart - Data privacy and machine learning in environmental science
|
Jun 17, 2020 |
37. Sean Knapp - The brave new world of data engineering
|
Jun 10, 2020 |
36. Max Welling - The future of machine learning
|
Jun 03, 2020 |
35. Rubén Harris - Learning and looking for jobs in quarantine
|
May 27, 2020 |
34. Denise Gosnell and Matthias Broecheler - You should really learn about graph databases. Here’s why.
|
May 20, 2020 |
33. Roland Memisevic - Machines that can see and hear
|
May 13, 2020 |
32. Bahador Khaleghi - Explainable AI and AI interpretability
|
May 06, 2020 |
31. Russell Pollari - Building habits and breaking into data science
|
Apr 29, 2020 |
30. Interviewing the Medium data science team
|
Apr 22, 2020 |
29. Cameron Davidson-Pillon - Data science at Shopify
|
Apr 15, 2020 |
28. Emily Robinson - Building a Career in Data Science
|
Apr 07, 2020 |
27. Alayna Kennedy - AI safety, AI ethics and the AGI debate
|
Mar 30, 2020 |
26. Jeremy Howard - Coronavirus: the data behind the disease
|
Mar 20, 2020 |
25. Chris Parmer - Plotly founder on what data science is, and where it's going
|
Mar 18, 2020 |
24. Xander Steenbrugge - Machine learning as a creative tool, and the quest for artificial general intelligence
|
Mar 10, 2020 |
23. Iain Harlow - Leaving academia for industry and optimizing how you learn
|
Mar 03, 2020 |
22. Luke Marsden - Data Science Infrastructure and MLOps
|
Feb 23, 2020 |
21. Adam Waksman - Data science is becoming software engineering
|
Feb 16, 2020 |
20. Chanchal Chatterjee - Real Talk with AI Leader at Google
|
Jan 30, 2020 |
19. Will Koehrsen - Self-Learning Data Science and Sharing the Knowledge on Medium
|
Jan 25, 2020 |
18. Edouard Harris - Mastering the data science job hunt
|
Jan 15, 2020 |
17. Nate Nichols - Product instinct and data storytelling
|
Jan 07, 2020 |
16. Helen Ngo - Real Talk with Machine Learning Engineer
|
Dec 16, 2019 |
15. Ian Xiao - Why Machine Learning Is More Boring Than You May Think
|
Dec 09, 2019 |
14. Jeremie Harris - Building a Data Science Startup & Getting Into Data Science
|
Dec 02, 2019 |
13. Jessica Li - Predicting Snowmelt Patterns with Deep Learning and Satellite Imagery
|
Nov 25, 2019 |
12. Rachael Tatman - Data science at Kaggle
|
Nov 06, 2019 |
11. Sanjeev Sharma - DataOps and data science at enterprise scale
|
Oct 31, 2019 |
10. Sanyam Bhutani - Data science beyond the classroom
|
Oct 22, 2019 |
9. Ben Lorica - Trends in data science with O'Reilly Media's Chief Data Scientist
|
Oct 15, 2019 |
8. George Hayward: comedian, lawyer and data scientist
|
Oct 08, 2019 |
7. Serkan Piantino - From Facebook to startups: data science is becoming an engineering problem
|
Oct 01, 2019 |
6. Jay Feng - Data science in the startup world
|
Sep 25, 2019 |
5. Rocio Ng - Data science and product management at LinkedIn
|
Sep 19, 2019 |
4. Akshay Singh - The thin line between data science and data engineering
|
Sep 10, 2019 |
Susan Holcomb - Nontechnical career skills for data scientists
|
Aug 14, 2019 |
Tan Vachiramon - Choosing the right algorithm for your real-world problem
|
Jul 16, 2019 |
Joel Grus - The case against the jupyter notebook
|
Jul 16, 2019 |