Emergency Pod: Examining SB 1047, California's Proposed AI Legislation
Dive into the nuanced debate over California's SB 1047 AI legislation with Nathan Calvin, Dean Ball, and Steve
Diving into Google DeepMind Robotics' latest research, we uncover breakthroughs in robot autonomy and ethics, paving the way for a future where robots seamlessly integrate into our daily lives.
In this conversation, we cover 6 papers in detail. They are:
While progress in robotics is still trailing behind the advances in language & vision, there are still challenges to be overcome before robotics models will have the scale of data and/or the sample efficiency needed to achieve reliable general-purpose capabilities, and the study of robot safety and alignment is still in its infancy, ultimately I see this rapid-fire series of papers as strong evidence that the same core architectures and scaling techniques that have worked so well in other contexts will ultimately succeed in robotics as well.
The work being done at Google DeepMind Robotics is pushing the boundaries of what's possible, investment in a new generation of robotics startups is heating up, and the pace of progress shows no signs of slowing down.
As always, if you're finding value in the show, please take a moment to share it with friends. This one would be perfect for anyone who has ever day-dreamed of having a robot that could fold their laundry or pick up their kids toys.
And especially as we are just building the new feed, a review on Apple Podcasts, Spotify, or a comment on Youtube would be much appreciated.
Now, here's my conversation with Keerthana Gopalakrishnan and Ted Xiao of Google Deepmind Robotics.
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