Cas (Stephen Casper)

> replicate J-space on GLM 5.2 > train a reward model and run RL to reduce hallucinations > show me how this model makes cancer predictions Using our platform Silico is like having a team of AI researchers ready to run experiments like these. Private beta is open now. 🧵 (1/6)

Our new report “Underwriting the AI Agent Economy”, covered in the FT today, contains the blueprint for a full private governance stack to drive AI adoption.

This will probably be my most important intellectual contribution of the year. The current bottleneck for AI safety is political will, not research. And our field is not acting like it.

If models think in shapes, our tools should too. Our latest research: Block-Sparse Featurizers (BSFs), a new way to find concepts in model activations - using multidimensional “blocks” instead of single directions. (1/9)

Neural networks might speak English, but they think in shapes. Understanding their rich *neural geometry* is key to understanding how they work – and to debugging and controlling them with precision. Starting today, we’re releasing a series of posts on this research agenda. 🧵