Every story across every category, newest first. Each card links to the original publisher; daily-brief posts open as editorial pages.
RT Jeff DeanIndeed, it has been quite a week, so I thought I'd share it with the KDD 2026 audience! For my Google colleagues who might…
Indeed, it has been quite a week, so I thought I'd share it with the KDD 2026 audience! For my Google colleagues who might have sent…
my personal take is that rice didn't make East Asians any more than Cold Winters made Europeans, and other factors like "gaokao" or "Catholic Church" are…
RT lily zhangsign up for COLM 2026 before it sells out! for non-local researchers, here's the SF map by @swyx.safety tip: i added poop alerts 💩…
Don't make me post it againJukan: Anthropic just committed the worst self-inflicted wound possible right before its IPO.
test-backend-sampler: skip multi_output_sampling_chain on HIP The new multi_output_sampling_chain test uses top_k, whose backend probs path needs CUB (unavailable on HIP), so sampled_probs is null and the…
Article URL: https://www.neowin.net/news/windows-11-admins-unhappy-as-microsoft-found-installing-unexpected-new-onedrive-photos-app/ Comments URL: https://news.ycombinator.com/item?id=49253329 Points: 26 # Comments: 7
1) I want them to be able to gather detailed telemetry, not just responses API calls, and improve their model faster2) I expect Whale Harness to…
Article URL: https://blog.mozilla.org/security/2026/08/10/updated-gpg-key-for-signing-firefox-and-thunderbird-releases/ Comments URL: https://news.ycombinator.com/item?id=49253250 Points: 13 # Comments: 3
Large Language Models (LLMs) have driven rapid progress in autonomous agents, yet standard evaluations remain confined to static task solving. An emerging frontier is harness evolution---the…
User simulators are widely used as scalable environments for training and evaluating interactive assistants. Generating the next user turn is inherently one-to-many: the same profile and…
arXiv:2602.10680v2 Announce Type: replace Abstract: Many real-world datasets contain hidden structure that cannot be detected by simple linear correlations between input features. For example, latent factors…
arXiv:2608.09193v1 Announce Type: new Abstract: Unsupervised time-series domain adaptation (DA) addresses the challenge of transferring a classifier from a labeled source domain to an unlabeled target…
arXiv:2511.11927v2 Announce Type: replace Abstract: Principal Component Analysis (PCA) is a standard tool for extracting a low-rank signal from noisy observations. It is known that applying…
arXiv:2608.09074v1 Announce Type: new Abstract: We develop a new approach to Personalized Federated Learning across heterogeneous clients using Nonparametric Empirical Bayes (NPEB). Leveraging the asymptotic normality…
arXiv:2505.06589v3 Announce Type: replace Abstract: Modern machine learning repeatedly manipulates probability measures: empirical datasets, generated samples, latent distributions, class-conditional laws, particle systems, weights of wide networks…
arXiv:2608.08911v1 Announce Type: new Abstract: Recent advances in Passive Acoustic Monitoring (PAM) offer an opportunity to obtain ecological spatial point-process data at unprecedented scale. However, realizing…
arXiv:2608.07618v1 Announce Type: new Abstract: Stochastic gradient descent for a loss function discontinuous across lower dimensional manifolds is analyzed by studying its differential equation limit.
arXiv:2608.08770v1 Announce Type: new Abstract: Diffusion models are increasingly used as controllable samplers, whose generations can be steered at inference time according to a chosen reward…
arXiv:2605.01729v3 Announce Type: replace-cross Abstract: Generative Flow Networks (GFlowNets) sample diverse structured objects in proportion to reward and have been applied to molecular discovery and biological-sequence…
arXiv:2608.08743v1 Announce Type: new Abstract: Reinforcement learning (RL) seeks to optimize sequential decisions to maximize population-level benefits over time. However, when deployed in high-stakes settings such…
arXiv:2603.07313v4 Announce Type: replace-cross Abstract: Robustness under latent distribution shift remains challenging in partially observable reinforcement learning. We formalize a focused setting where an adversary selects…
arXiv:2608.07648v1 Announce Type: new Abstract: Sampling high-dimensional probability distributions is a central task in scientific computing, with applications ranging from Bayesian inference to statistical physics and…
arXiv:2608.07795v1 Announce Type: new Abstract: Prediction intervals for multi-modal regression with tabular variables, text, images, or other input sources are difficult to calibrate when those sources…