01 / ROBOTICS / RESEARCH
One robot policy can trade speed for richer predictions
Conceptual illustration based on the Flex-π project. One set of weights supports different generated streams; the speed–accuracy tradeoff comes from the researchers’ tests, not a universal guarantee.Flex-π learns robot actions alongside images, 3D geometry, and object features. One checkpoint can generate actions alone or predict those visual futures too. Researchers report better manipulation results with joint prediction; the extra computation trades speed for accuracy.
Read the source ↗ flex-pi.github.io02 / BIOSECURITY / INTERVIEW
Biological AI defense needs to keep pace
Radical Numerics cofounder Eric Nguyen argues that biological AI defense is falling behind advancing model capabilities. In a Latent Space interview, he makes the case for stronger defensive models; this is his assessment, not an independently measured balance.
Read the source ↗ www.latent.space