Artificial General Intelligence (AGI) Show with Soroush Pour
Soroush Pour
15 episodes
7 months ago
We speak with Stephen Casper, or "Cas" as his friends call him. Cas is a PhD student at MIT in the Computer Science (EECS) department, in the Algorithmic Alignment Group advised by Prof Dylan Hadfield-Menell. Formerly, he worked with the Harvard Kreiman Lab and the Center for Human-Compatible AI (CHAI) at Berkeley. His work focuses on better understanding the internal workings of AI models (better known as “interpretability”), making them robust to various kinds of adversarial attacks, and ca...
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We speak with Stephen Casper, or "Cas" as his friends call him. Cas is a PhD student at MIT in the Computer Science (EECS) department, in the Algorithmic Alignment Group advised by Prof Dylan Hadfield-Menell. Formerly, he worked with the Harvard Kreiman Lab and the Center for Human-Compatible AI (CHAI) at Berkeley. His work focuses on better understanding the internal workings of AI models (better known as “interpretability”), making them robust to various kinds of adversarial attacks, and ca...
Ep 11 - Technical alignment overview w/ Thomas Larsen (Director of Strategy, Center for AI Policy)
Artificial General Intelligence (AGI) Show with Soroush Pour
1 hour 37 minutes
1 year ago
Ep 11 - Technical alignment overview w/ Thomas Larsen (Director of Strategy, Center for AI Policy)
We speak with Thomas Larsen, Director for Strategy at the Center for AI Policy in Washington, DC, to do a "speed run" overview of all the major technical research directions in AI alignment. A great way to quickly learn broadly about the field of technical AI alignment. In 2022, Thomas spent ~75 hours putting together an overview of what everyone in technical alignment was doing. Since then, he's continued to be deeply engaged in AI safety. We talk to Thomas to share an updated overview to h...
Artificial General Intelligence (AGI) Show with Soroush Pour
We speak with Stephen Casper, or "Cas" as his friends call him. Cas is a PhD student at MIT in the Computer Science (EECS) department, in the Algorithmic Alignment Group advised by Prof Dylan Hadfield-Menell. Formerly, he worked with the Harvard Kreiman Lab and the Center for Human-Compatible AI (CHAI) at Berkeley. His work focuses on better understanding the internal workings of AI models (better known as “interpretability”), making them robust to various kinds of adversarial attacks, and ca...
