Opinions
The Augmentation-Automation Race: Why Today’s AI Policy Choices Decide Tomorrow’s Jobs
Anton Leicht argues that policymakers face a consequential choice between two futures for AI and labor: augmentation, where AI enhances…
Opinions
Why the Global South Will Have More AI Leverage Than Ever
Saxon Zvina argues that developing nations in the Global South hold unprecedented strategic leverage in shaping the future of artificial…
Engineering
FrontierChallenge: A Benchmark for End-to-End Scientific Agent Workflows
FrontierChallenge is a new cross-domain benchmark of 300 end-to-end scientific workflows spanning quantum chemistry, molecular dynamics, materials science, and other…
Engineering
WarpSAC: Regime-Aware Off-Policy Reinforcement Learning for Massively Parallel Simulation
This paper shows that common off-policy RL stabilizers behave differently depending on data regime: parameter normalization helps under narrow replay…
Engineering
JIT-Agent: Just-in-Time Synthesis of Agent Harnesses
JIT-Agent is a harness intelligence model that generates task-adaptive agent harnesses on the fly for arbitrary off-the-shelf LLMs, formalizing the…
Engineering
D3-MOPD: Dynamic Domain Scheduling for Multi-Teacher Distillation
D3-MOPD is a zero-overhead scheduler for multi-teacher on-policy distillation that adjusts per-domain training mixture ratios online, reusing the reverse-KL signal…
Engineering
Agent-G2: Gaussian Guidance for Hint-Based Agentic Reinforcement Learning
Agent-G2 addresses reward sparsity in long-horizon agentic RL by replacing the common practice of treating expert-trajectory guidance depth as a…
Opinions
The Books Helping Readers Make Sense of the AI Moment
The Christian Science Monitor’s book critics sampled eleven nonfiction and fiction titles addressing artificial intelligence to help readers understand the…
Engineering
Code World Model: A Coding Agent as the Brain of a Video World Model
Code World Model separates world-state evolution from visual rendering by using a coding agent to reason about events and consequences…
Engineering
Is Next-Chunk Reasoning RL Really Better Than SFT on No-CoT Data?
This paper runs a controlled comparison of next-chunk reasoning reinforcement learning against a simple alternative called Mixed SFT — a…
Engineering
Open-MOPD: Closing the Capability Integration Gap in Multi-Teacher Distillation
This paper identifies a ‘capability integration gap’ in multi-teacher on-policy distillation, where a controlled benchmark shows standard methods recover only…
Engineering
SWE Refactor Bench: Testing Whether Coding Agents Can Actually Migrate Legacy Code
SWE Refactor Bench is a new benchmark of 20 whole-repository code migrations across four categories of technical debt, designed to…