This paper proposes Variational Linear Attention, an online least-squares formulation that stabilizes linear attention memory with an adaptive penalty matrix. It targets a core bottleneck in…
This paper replaces standard diffusion denoising with conditional normalizing flows to get four-step image generation without giving up exact likelihood training. The self-distillation angle makes it…
State space models are moving from a niche alternative to a credible transformer competitor, with tradeoffs that matter for long-context efficiency and scaling. The piece is a useful snapshot of…
This paper tightens the evaluation of diffusion-based OOD detectors by controlling for backbone choice and test-time budget, then proposes sparse internal feature snapshots as a fairer detector…
AWS outlines how foundation model scaling is moving past pre-training into post-training and test-time compute, with infrastructure implications for each stage. The piece is useful for engineers…
ASD-Bench introduces a four-axis benchmark for autism spectrum disorder screening across children, adolescents, and adults. It gives researchers a more structured way to compare classical ML, deep…
This paper reframes oversmoothing in neural sheaf diffusion as a representation-degeneracy problem and brings quiver/sheaf theory to bear on the dynamics. It is mathematically rich, but the practical…
A reflective analysis of how open model ecosystems can reinforce themselves through participation, iteration, and distribution. The piece is most useful as a strategic read on why open-first AI…
OpenAI outlines the safety controls behind Codex, including sandboxing, approval gates, and constrained execution environments. It’s a useful look at how agentic coding systems are being boxed in to…
Medicare’s new ACCESS payment model creates a reimbursement path for AI agents that monitor patients between visits and coordinate follow-up care. For builders, the significance is less the policy…
This newsletter piece frames agent skills as the next bottleneck in building useful AI agents. It is relevant as a market-and-product signal, but appears light on technical detail or new research.