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Into AI Safety
Jacob Haimes
24 episodes
2 weeks ago
The Into AI Safety podcast aims to make it easier for everyone, regardless of background, to get meaningfully involved with the conversations surrounding the rules and regulations which should govern the research, development, deployment, and use of the technologies encompassed by the term "artificial intelligence" or "AI" For better formatted show notes, additional resources, and more, go to https://kairos.fm/intoaisafety/
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Technology
Science,
Mathematics
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All content for Into AI Safety is the property of Jacob Haimes and is served directly from their servers with no modification, redirects, or rehosting. The podcast is not affiliated with or endorsed by Podjoint in any way.
The Into AI Safety podcast aims to make it easier for everyone, regardless of background, to get meaningfully involved with the conversations surrounding the rules and regulations which should govern the research, development, deployment, and use of the technologies encompassed by the term "artificial intelligence" or "AI" For better formatted show notes, additional resources, and more, go to https://kairos.fm/intoaisafety/
Show more...
Technology
Science,
Mathematics
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INTERVIEW: Polysemanticity w/ Dr. Darryl Wright
Into AI Safety
45 minutes
1 year ago
INTERVIEW: Polysemanticity w/ Dr. Darryl Wright
Darryl and I discuss his background, how he became interested in machine learning, and a project we are currently working on investigating the penalization of polysemanticity during the training of neural networks. Check out a diagram of the decoder task used for our research! 01:46 - Interview begins02:14 - Supernovae classification08:58 - Penalizing polysemanticity20:58 - Our "toy model"30:06 - Task description32:47 - Addressing hurdles39:20 - Lessons learned Links to all articles/papers which are mentioned throughout the episode can be found below, in order of their appearance. Zooniverse BlueDot Impact AI Safety Support Zoom In: An Introduction to Circuits MNIST dataset on PapersWithCode Clusterability in Neural Networks CIFAR-10 dataset Effective Altruism Global CLIP (blog post) Long Term Future Fund Engineering Monosemanticity in Toy Models
Into AI Safety
The Into AI Safety podcast aims to make it easier for everyone, regardless of background, to get meaningfully involved with the conversations surrounding the rules and regulations which should govern the research, development, deployment, and use of the technologies encompassed by the term "artificial intelligence" or "AI" For better formatted show notes, additional resources, and more, go to https://kairos.fm/intoaisafety/