While model-based reinforcement learning (MBRL) improves sample efficiency by learning world models from raw observations, existing methods struggle to generalize across structurally similar scenes and remain vulnerable to spurious variations such as textures or color shifts. From a cognitive science perspective, humans segment continuous sensory streams into discrete events and rely on these key events for decision-making. Motivated by this principle, we propose the Event-Aware World Model (EAWM), a general framework that learns event-aware representations to streamline policy […]

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arXiv:2601.19929v1 Announce Type: new Abstract: We introduce Stingy Context, a hierarchical tree-based compression scheme achieving 18:1 reduction in LLM context for auto-coding tasks. Using our TREEFRAG exploit decomposition, we reduce a real source code base of 239k tokens to 11k tokens while preserving task fidelity. Empirical results across 12 Frontier models show 94 to 97% success on 40 real-world issues at low cost, outperforming flat methods and mitigating lost-in-the-middle effects.

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Community commerce is quickly becoming one of the most powerful growth levers for brands, yet most companies still underestimate its impact. As paid acquisition costs rise and consumer trust in traditional advertising continues to fall, community commerce offers a more sustainable path to growth by turning customers into connected, engaged participants who drive trust, influence purchasing decisions, and fuel long-term revenue. Brands that understand how to build and activate community commerce are no longer competing on ads alone—they’re […]

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The most dangerous advice in academia is “just start writing.” It sounds noble. It sounds productive. It is also a lie. Telling a graduate student to “just write” without a structure is like telling a construction crew to “just build” without a blueprint. You might end up with walls, but they won’t hold a roof. You will spend six months pouring concrete only to realize you forgot the plumbing. I see this every year. Brilliant students freeze. They […]

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Hey We speak of the “Data Wall,” but for Indian languages, it’s a data abyss. Hinglish corpora are small, toxic-scraped, or lose the Indian flavor after translation. I’m working on a pipeline for the generation of privacy-preserving synthetic Hinglish conversational data. Pipeline: -Seed: 35k real Hinglish conversations (quality: 98.67) -Architecture: GaussianCopula + custom speaker oversampling Goal: scale minority dialects while maintaining code-mix patterns Reality check (10k rows): Privacy: AUC 0.95 (membership inference) Quality: 0.6897 (target ≥ 0.75) Word […]

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I’ve been designing products for over a decade now, and I’ve noticed something: most design debt doesn’t start with bad design. It starts with decisions that made perfect sense at the time. A PM says, “Let’s ship this for now, we’ll clean it up in Q3.” The team’s underwater. The deadline’s real. And honestly? Shipping something imperfect is often the right call. Products have to move. I’ve made these calls myself. But somewhere between launching and scaling, something […]

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arXiv:2602.17603v1 Announce Type: new Abstract: Cryo-electron microscopy (cryo-EM) has emerged as a powerful technique for resolving the three-dimensional structures of macromolecules. A key challenge in cryo-EM is characterizing continuous heterogeneity, where molecules adopt a continuum of conformational states. Covariance-based methods offer a principled approach to modeling structural variability. However, estimating the covariance matrix efficiently remains a challenging computational task. In this paper, we present SOLVAR (Stochastic Optimization for Low-rank Variability Analysis), which leverages a low-rank assumption on the […]

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I’ve been thinking about an approach for fine-tuning/RL on limited data and I’m not sure it’s the right one , curious if anyone has done something similar. i need a model that generates document templates from structured input + a nl comment. The only data I have are existing compiled templates, no input/output pairs. The idea is to bootstrap with reverse engineering, feed each template to a strong LLM, extract the parameters that could have generated it, use […]

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In late 2025, the Reuters Institute for the Study of Journalism reported that [global publishers have already lost ]()**33% of search referral traffic year over year with media leaders projecting an additional *40%+ decline* as AI-generated answers replace traditional discovery paths. That data point matters far beyond journalism. It confirms something B2B marketers are now feeling in real time: buyers are no longer navigating the web, they are prompting AI systems to do the thinking for them. Call […]

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