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130. Edouard Harris - New Research: Advanced AI may tend to seek power by default

10/12/2022 • 58 min

Progress in AI has been accelerating dramatically in recent years, and even months. It seems like every other day, there’s a new, previously-believed-to-be-impossible feat of AI that’s achieved by a world-leading lab. And increasingly, these breakthroughs have been driven by the same, simple idea: AI scaling. For those who haven’t been following the AI scaling … Play episode

129. Amber Teng - Building apps with a new generation of language models
128. David Hirko - AI observability and data as a cybersecurity weakness
127. Matthew Stewart - The emerging world of ML sensors
126. JR King - Does the brain run on deep learning?
125. Ryan Fedasiuk - Can the U.S. and China collaborate on AI safety?
124. Alex Watson - Synthetic data could change everything
123. Ala Shaabana and Jacob Steeves - AI on the blockchain (it actually mi…
122. Sadie St. Lawrence - Trends in data science
121. Alexei Baevski - data2vec and the future of multimodal learning
120. Liam Fedus and Barrett Zoph - AI scaling with mixture of expert models
119. Jaime Sevilla - Projecting AI progress from compute trends
118. Angela Fan - Generating Wikipedia articles with AI
117. Beena Ammanath - Defining trustworthy AI
116. Katya Sedova - AI-powered disinformation, present and future
115. Irina Rish - Out-of-distribution generalization
114. Sam Bowman - Are we *under-hyping* AI?
113. Yaron Singer - Catching edge cases in AI
112. Tali Raveh - AI, single cell genomics, and the new era of computation…
111. Mo Gawdat - Scary Smart: A former Google exec’s perspective on AI risk
110. Alex Turner - Will powerful AIs tend to seek power?
109. Danijar Hafner - Gaming our way to AGI
108. Last Week In AI — 2021: The (full) year in review
107. Kevin Hu - Data observability and why it matters
106. Yang Gao - Sample-efficient AI
105. Yannic Kilcher - A 10,000-foot view of AI
104. Ken Stanley - AI without objectives
103. Gillian Hadfield - How to create explainable AI regulations that actu…
102. Wendy Foster - AI ethics as a user experience challenge
101. Ayanna Howard - AI and the trust problem
100. Max Jaderberg - Open-ended learning at DeepMind
99. Margaret Mitchell - (Practical) AI ethics
98. Mike Tung - Are knowledge graphs AI’s next big thing?
97. Anthony Habayeb - The present and future of AI regulation
96. Jan Leike - AI alignment at OpenAI
95. Francesca Rossi - Thinking, fast and slow: AI edition
94. Divya Siddarth - Are we thinking about AI wrong?
93. 2021: A year in AI (so far) - Reviewing the biggest AI stories of 2021…
92. Daniel Filan - Peering into neural nets for AI safety
91. Peter Gao - Self-driving cars: Past, present and future
90. Jeffrey Ding - China’s AI ambitions and why they matter
89. Pointing AI in the right direction - A cross-over episode with the Ban…
88. Oren Etzioni - The case against (worrying about) existential risk from…
87. Evan Hubinger - The Inner Alignment Problem
86. Andy Jones - AI Safety and the Scaling Hypothesis
85. Brian Christian - The Alignment Problem
84. Eliano Marques - The (evolving) world of AI privacy and data security
83. Rosie Campbell - Should all AI research be published?
82. Jakob Foerster - The high cost of automated weapons
81. Nicolas Miailhe - AI risk is a global problem

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