New ForeCast episode: Avi Parrack and Tom Davidson on why the US could soon dominate space, whether it could lock rivals out of orbit, and what a space lead means for US–China competition
New from James Tillman: some AI models may now keep improving with test-time compute far past the most they ever used on a training task.
He calls this "compute extrapolation," argues it probably arrived around the end of 2025, and explains why it could speed capabilities and make dangerous-capability evals far more expensive.
New from Stefan Torges: How Long is the Long Reflection?
“AI can speed up learning, but it cannot speed up becoming. The only fast route to more reflective values is handing the future to versions of ourselves we would not recognize.”
Could a first mover prevent others from accessing outer space, or raise their cost of doing so?
A new piece considers two potential kinds of space lock-out: "soft" lock-out (e.g. capturing scarce assets, like orbital bands or the best lunar sites, and denying them to rivals) and "hard" lock-out (using force, such as space-based interceptors that destroy rockets at launch).