Big tech companies are distracting the world from the existential risks of AI, warns top scientist Max Tegmark. Simply A.I. presents a groundbreaking research paper on improving Earth-like planet detection using deep learning. Plus, a new study introduces a meta-learning model for predicting production quality with limited data. Also, Octo, an open-sourced generalist robot policy, revolutionizes robotic learning.
Sources:
https://www.theguardian.com/technology/article/2024/may/25/big-tech-existential-risk-ai-scientist-max-tegmark-regulations
https://astrobiology.com/2024/05/improving-earth-like-planet-detection-in-radial-velocity-using-deep-learning.html
https://www.nature.com/articles/s41598-024-62174-0
https://www.marktechpost.com/2024/05/24/octo-an-open-sourced-large-transformer-based-generalist-robot-policy-trained-on-800k-trajectories-from-the-open-x-embodiment-dataset/
Outline:
(00:00:00) Introduction
(00:00:45) Big tech has distracted world from existential risk of AI, says top scientist
(00:03:41) Improving Earth-like Planet Detection in Radial Velocity Using Deep Learning
(00:06:25) Meta learning based residual network for industrial production quality prediction with limited data
(00:09:06) Octo: An Open-Sourced Large Transformer-based Generalist Robot Policy Trained on 800k Trajectories from the Open X-Embodiment Dataset
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