Help me understand – why don’t we use compression like zlib if we are bandwidth-bound?
Follow up: if not enough weights are identical for dictionary encoding part, why not equalise weights within a 3-5% margin to make them compressible? As per…
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Reynard: A real Firefox web browser for iOS 13 or later
Article URL: https://github.com/minh-ton/reynard-browser Comments URL: https://news.ycombinator.com/item?id=48930397 Points: 13 # Comments: 0
Stop saying that AI is just a tool and it only matters how it is used
Article URL: https://www.frank.computer/blog/2025/05/just-a-tool.html Comments URL: https://news.ycombinator.com/item?id=48930363 Points: 20 # Comments: 10
cuda: extract Q1_0 elements via __byte_perm by dfriehs · Pull Request #25628 · ggml-org/llama.cpp
5% boost on tg for Bonsai models. This is the 1st PR mentioned on yesterday thread(Other Open PRs section) submitted by /u/pmttyji [link] [comments]
Infra vs architecture is partially a matter of confidence. You can hedge on design and then throw workhours at optimizing the hell out of your serving…
Infra vs architecture is partially a matter of confidence. You can hedge on design and then throw workhours at optimizing the hell out of your serving…
Vinci2: Providing Proactive Assistance in Continuous Egocentric Videos
When should an intelligent assistant speak up without being asked? Continuous egocentric video offers rich, evolving context that enables a new form of assistance: one that…
From Noisy Traces to Root Causes: Structural Trajectory Analysis and Causal Extraction for Agent Optimization
The optimization of long-horizon agents increasingly relies on reflection-based mechanisms, where a large language model (LLM) acts as an optimizer to diagnose agent failures and improve…
Tracing Agentic Failure from the Flow of Success
Failure attribution for LLM-based agentic systems, i.e., identifying which steps in a failure trajectory caused the task to fail, is critical for debugging and improving these…
MetaView: Monocular Novel View Synthesis with Scale-Aware Implicit Geometry Priors
Current visual generation models are capable of producing high-quality content, yet they lack a coherent perception of the spatial structure. Existing generative novel view synthesis methods…
Applied Computing wants to give oil and gas operators an AI model for the entire plant
Applied Computing has raised a $20M Series A to build a foundation AI model for the oil, gas and petrochemical industry.
Verifying formulas for interventional distributions
arXiv:2607.13883v1 Announce Type: cross Abstract: We formalize verification in causal graphical models: deciding whether a given observational formula identifies a target interventional distribution. This opens a…
Heavy-Tailed Flow Matching via Random Clocks
arXiv:2607.13841v1 Announce Type: cross Abstract: Heavy-tailed data arise in many domains where rare events carry disproportionate importance, such as imbalanced image datasets, financial returns, and weather…
Error Analysis of Triangular Optimal Transport Maps for Filtering
arXiv:2510.19283v2 Announce Type: replace-cross Abstract: We present a systematic analysis of estimation errors for a class of optimal transport based algorithms for filtering and data assimilation.…
Algebraic Representability as the Limiting Regime of Grokking: An Exactly Solvable Model with Holomorphic Activations
arXiv:2607.13749v1 Announce Type: cross Abstract: Neural networks trained on modular arithmetic exhibit grokking, a delayed transition from memorisation to generalisation known to depend on model capacity:…
Uniform Approximation of Functions with Asymmetric Growth and Decay by Deep Weighted Polynomials
arXiv:2506.21306v2 Announce Type: replace-cross Abstract: Functions that grow without bound on one side of the real line and decay to zero on the other cannot be…
DAGR: State-Conditioned Goal Representations via Difference-Aware Goal Cross-Attention
arXiv:2607.13731v1 Announce Type: cross Abstract: Goal-conditioned reinforcement learning hinges on how the goal is encoded. Contrastive, metric, temporal-distance, and information-theoretic encoders differ in objective. They still…
Leveraging Differentiable PDE Solvers for Semi-Neural Spatial Reconstruction From Sparse Measurements
arXiv:2601.20496v2 Announce Type: replace Abstract: Generating dense physical fields from sparse measurements is a fundamental question in sampling, signal processing, and many other applications. State-of-the-art approaches…
Cluster with Auctions for Vector Search
arXiv:2607.13728v1 Announce Type: cross Abstract: Large-scale approximate nearest neighbor search commonly relies on partitions for indexing: database vectors are partitioned into clusters, and for each query…
Non-Expansive Two-Time-Scale Stochastic Approximation: A Fixed-Schedule One-Quarter Barrier and Bias-Corrected Acceleration
arXiv:2607.13414v1 Announce Type: new Abstract: Non-expansive two-time-scale stochastic approximation is governed by a slow stochastic Krasnoselskii--Mann fixed-point iteration rather than by contraction to a unique equilibrium.…
Gauge-Invariant, Parameter-Insensitive Regularization for Potential Recovery from Flow on Directed Graphs
arXiv:2607.13609v1 Announce Type: cross Abstract: Recovering a latent potential from observed flow on a directed graph (a discrete Poisson problem with Dirichlet boundaries) is ill-posed, and…
Parallel gradient boosting for flexible estimation of conditional distributions
arXiv:2607.13550v1 Announce Type: new Abstract: Boosting is one of the most successful learning techniques for standard classification and regression tasks. Its extension to multi-output prediction problems…
Wasserstein gradient flows for Coulomb discrepancies
arXiv:2607.12579v1 Announce Type: cross Abstract: We study the long-time behavior of the Wasserstein gradient flow of the squared Maximum Mean Discrepancy (MMD) between a probability measure…
Adaptive Conformal Inference through the Lens of Blackwell Approachability
arXiv:2510.15824v2 Announce Type: replace Abstract: This article considers an online version of conformal inference, called adaptive conformal inference [ACI] and introduced by Gibbs and Cand`es (2021):…
Analogical Deep Research: Retrieving and Integrating Historical Analogies for Foresight Analysis
arXiv:2607.13602v1 Announce Type: cross Abstract: Systematic comparisons between current situations and structurally similar past events in the historical, i.e., historical analogies, is among the most powerful…