Every story across every category, newest first. Each card links to the original publisher; daily-brief posts open as editorial pages.
We introduce MentalThink, a visual-symbolic reasoning paradigm that equips Multimodal LLMs (MLLMs) with an executable mechanism for "mental" visualization. The core of MentalThink is a think-with-SVG…
We formulate computer vision as unified multimodal generation, where heterogeneous visual tasks are expressed in the native text and image generation spaces of a unified multimodal…
Catch us at @RaiseSummit!Our CEO @vipulved sits down with @wolfejosh of @Lux_Capital for a fireside chat "AI Sticker Shock: Open Source as the Answer to Broken…
The Copilot usage metrics API now reports two additional code-review velocity metrics for each AI adoption phase, extending the adoption phase cohorts fields available in the…
Holy shit Dario, what is your fucking problem?!Ace of Razgriz: CZ-10B is vertical at Pad 2 of Wengchang commercical LC. pic via Xiaohongshu
server : fix draft model fit vs load inconsistency (#25056) fix: draft model fit vs load inconsistency refactor(server): unify draft/mtp parameter initialization, model, and context load…
Article URL: https://twitter.com/OpenAI/status/2074704958419792299 Comments URL: https://news.ycombinator.com/item?id=48827402 Points: 34 # Comments: 0
Sol is rising. It’s a good model.OpenAI: GPT-5.6 Sol, along with Terra and Luna, will launch publicly this Thursday.We’re expanding preview access globally now.
Challenges remain in ego-centric 3D scene generation due to limited view overlap and the dominant influence of individual perspectives on scene interpretation. These factors hinder the…
Significant disparities exist in the diagnosis and clinical presentation of depression across different linguistic populations. Speech-based depression detection performs well monolingually, but cross-lingual generalization remains an…
Scaling modern large language models (LLMs) to long contexts is limited by the quadratic computation cost, and poor length extrapolation of dense attention. Chunk-wise sparse attention…
arXiv:2607.06089v1 Announce Type: cross Abstract: We study binary classification under shared-generator elliptical class-conditional distributions. The log-likelihood ratio is an additive function of the two squared Mahalanobis…
arXiv:2606.00419v4 Announce Type: replace Abstract: Uncertainty quantification (UQ) is critical for the deployment of machine learning predictors in real-world scenarios where the data distribution may shift…
arXiv:2607.06020v1 Announce Type: cross Abstract: The record values theory study elements of a time series that exceed all previous observations, which are of particular interest in…
arXiv:2602.11711v2 Announce Type: replace Abstract: This article addresses the issue of estimating observation parameters (response and error parameters) in inverse problems. The focus is on cases…
arXiv:2607.05872v1 Announce Type: cross Abstract: Memory-efficient optimizers such as GaLore train large language models by projecting gradients onto a rank-r subspace recomputed every T steps, assuming…
arXiv:2607.04743v2 Announce Type: replace-cross Abstract: Higher-order influence functions, introduced in a series of articles (Robins et al., 2008, 2009a; van der Vaart, 2014; Robins et al.,…
arXiv:2607.05692v1 Announce Type: cross Abstract: Hierarchical mixture models are a powerful tool for modeling data generated from heterogeneous sources, particularly when the mixing proportion $boldsymbol{w}$ itself…
arXiv:2607.06382v1 Announce Type: new Abstract: A persistent empirical observation is that trained neural networks outperform their neural tangent kernel (NTK) limit on tasks with compositional structure,…
arXiv:2607.06252v1 Announce Type: new Abstract: Many problems in science and engineering are difficult to model accurately, either due to unknown physical mechanisms, poorly quantified measurement uncertainty,…
arXiv:2503.17020v2 Announce Type: replace-cross Abstract: Kernel methods compare inputs through feature maps. Quantum kernels follow the same principle: input data are encoded into quantum states, which…
arXiv:2607.05609v1 Announce Type: new Abstract: The Continual Learning (CL) literature has long been driven by the goal of mitigating catastrophic forgetting. This objective rests on a…
arXiv:2607.05694v1 Announce Type: new Abstract: Logit-based watermarking is a widely used mechanism for identifying LLM generated content, yet its effectiveness is governed by a fundamental trade-off…
arXiv:2607.05735v1 Announce Type: new Abstract: Infinite-width limits are a standard way to reason about neural networks, but it is not automatic that the limiting learner has…