Eric

Claude Code on desktop now has an in-app browser. Claude can pull up docs, designs, or any other site. It can read, click through, and interact the same way it does with your local dev servers. It's sandboxed and configurable: you choose whether sessions persist.

We’ve spent the last few weeks listening to your feedback on the first few alpha VSTs…. and we’re back with some major updates to make common workflows easier and clarify the usage of the Daydream suite of music tools 🧵

We're nowhere close to AGI, it's laughable

Video model research feels like there’s so much to explore, yet so little you can actually do when you’re compute-poor. After spending ~1 year on image/video pretraining in the past, latent diffusion has become increasingly awkward to me. You train a VAE with predetermined spatial/temporal compression, then hope a DiT can model that latent space well. But you bang your head onto the wall because you realize your reconstruction quality ≠ diffusibility. IMO, the training paradigm itself needs to change. I’m getting more and more skeptical that video-based world models become economically useful without a more efficient formulation. For robotics, video pretraining seems valuable, but do we really need to generate a long video that has a good visual quality? Prob not. Maybe predicting the next state as a single image (or latent state such as dreamer style) + actions will be enough to be usable as a layer for robotics.