Summary
A near-empty morning slot. Two tweets total, no @bayesiansapien retweets, no Gmail-grade signal. The single substantive item is @MillionInt amplifying Jiayi Weng's blog post "Learning Beyond Gradients", framed as "mostly a bearish take on RL", in which Codex iterates a pure NumPy + cv2 heuristic policy for VizDoom D3 with no neural net training. Today's digest treats this as a Tier 2 Deep Dive against the RL-substrate thread. The other tweet is Tesla announcing the end of Model S and Model X production at Fremont, off-topic for AI.
Posts
- Jiayi Weng — Learning Beyond Gradients (@MillionInt reposting · blog). Codex iterates a NumPy + cv2 closed-loop heuristic policy for VizDoom D3 from raw pixels and public game variables, no neural network training, no map, no object coordinates, no seed-specific routes. Weng frames iterated heuristic learning as a candidate next paradigm after pretraining and RL/RLVR. The amplifier framed it as a bearish take on RL. Today's Jiayi Weng Deep Dive and digest Connecting the Dots cover the substrate question alongside the Gowers + ChatGPT 5.5 Pro result.
- End of Model S and Model X production (@Tesla). Production farewell post, no AI content. Skip.