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 2 - When will AGI arrive? - Alex Browne (Machine Learning Engineer)
Artificial General Intelligence (AGI) Show with Soroush Pour
58 minutes
2 years ago
Ep 2 - When will AGI arrive? - Alex Browne (Machine Learning Engineer)
In this episode, we speak with ML Engineer Alex Browne about his forecasted timelines for the potential arrival of AGI. He also speaks to how we might get there and some of the implications. Hosted by Soroush Pour. Follow me for more AGI content: Twitter: https://twitter.com/soroushjp LinkedIn: https://www.linkedin.com/in/soroushjp/ == Show links == -- About Alex Browne -- * Bio: Alex is a software engineer & tech founder with 10 years of experience. Alex and I (Soroush) have worked to...
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...