4.4 • 637 Ratings
🗓️ 4 September 2024
⏱️ 60 minutes
🧾️ Download transcript
Zico Colter is a Professor and the Director of the Machine Learning Department at Carnegie Mellon University. His research spans several topics in AI and machine learning, including work in AI safety and robustness, LLM security, the impact of data on models, implicit models, and more. He also serves on the Board of OpenAI, as a Chief Expert for Bosch, and as Chief Technical Advisor to Gray Swan, a startup in the AI safety space.
1. Model Performance: What are the Bottlenecks:
2. Sam Altman, Sequoia and Frontier Models on Data Centres:
3. AI Safety: What People Think They Know But Do Not:
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0:00.0 | The real negative outcome is that people are not going to believe anything that they see anymore. |
0:04.4 | Arguably, we are already well along this way, where people basically don't believe anything |
0:08.9 | that they read or that they see or anything else. It doesn't already conform to their current beliefs. |
0:13.7 | It didn't even need AI to get there, but AI is absolutely an accelerant for this process. |
0:18.3 | It is a relatively new phenomenon that we have sort of a record of |
0:22.1 | objective fact in the world. I mean, things like video didn't exist more than 100 years ago. |
0:26.9 | Humans evolved at a time during an environment where all we could do was trust our close associates. |
0:33.7 | That's how we believed things. This is 20 VC with me, Harry Stebbings, and today we are joined by OpenAI's newest board member |
0:40.3 | and Carnegie Mellon's head of machine learning, Zico Coulter, from the bottlenecks in AI today |
0:45.3 | to open versus closed systems to the biggest dangers of AI. |
0:49.3 | This is an incredible discussion. |
0:51.3 | But before we dive in, when a promising startup files for an IPO or a venture |
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