Paper Feed: July 2026

Alignment and Control

• Diffuse AI Control on Fuzzy Tasks
  Mikhail Terekhov, Caglar Gulcehre, Vivek Hebbar, Joe Benton (2026)
• Sub-agent delegation chaining
  David Rein (2026)

AI Economics and Forecasting

• Toward an O*NET for AI R&D
  Jean-Stanislas Denain, Joe Kwon, Anson Ho (2026)
  See also: task taxonomy writeup
• Anthropic Economic Index report: Cadences
  Maxim Massenkoff, Eva Lyubich, Szymon Sacher, Zoe Hitzig, Shaoyi Zhang, Ryan Heller, Peter McCrory (2026)

Evaluations and Agents

• How bad data teaches models to write terrible code
  Max Niederman, Stephen Yang, Ege Erdil (2026)
• Smarter Spending: Dynamic Compute Allocation for Lean Theorem Provers
  Kari Rognvaldsson, Chenhao Sun, Jasper Dekoninck, Martin Vechev (2026)

Interpretability

• To what extent is Qwen3-32B predicting its persona?
  Arjun Khandelwal, Ryan Greenblatt, Alex Mallen (2026)
• LoRAcles: Self-Supervised Weight-Space Interpretability at Scale
  Celeste De Schamphelaere, Jan Philipp Bauer, Neel Nanda, Euan Ong (2026)

Training and Generalization

• A (dis)analogy for (mis)understanding the lottery ticket hypothesis
  Vaishnavh Nagarajan (2026)
• Why Stochastic Gradient Descent Stops Just Short of the Edge
  Fangshuo Liao, Afroditi Kolomvaki, Anastasios Kyrillidis (2026)
  Paper: Stochastic Self-Stabilization

Miscellaneous

• What Language is This? Ask Your Tokenizer
  Clara Meister, Ahmetcan Yavuz, Pietro Lesci, Tiago Pimentel (2026)