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Bypassing inference bottlenecks: Accelerating complex AI search with Retrieve-for-Train

Algorithms & Theory

Your AI Skills Might Not Be Keeping Up With Your Confidence

AISA participants expected higher AI fluency scores than they received. Other research raises related questions about self-assessment. Here’s how to check whether your confidence is earned.

Reparameterization Tricks: Variance Reduction by Smarter Gradients

How moving randomness outside the computation graph turns noisy gradient estimators into low-variance, differentiable ones The post Reparameterization Tricks: Variance Reduction by Smarter Gradients appeared first on…

How to Build Consistent Designs with Claude Code

Keep your apps looking professional with Claude Code design skills The post How to Build Consistent Designs with Claude Code appeared first on Towards Data Science.

AI Is Getting Cheaper. My Token Usage Is Going Through the Roof.

My AI usage has grown from thousands to hundreds of millions of tokens a day. As Vera Rubin improves the economics, the next phase could resemble the internet’s expansion from email to everything.

Seizing the Moment: The Hidden Silhouette of Data

How statistical moments connect the mean, the variance, and higher powers of a distribution The post Seizing the Moment: The Hidden Silhouette of Data appeared first on Towards Data Science.

Polylane Replaced an AI Agent Team With One. Then Pull Requests Arrived Faster.

Polylane replaced an autofix workflow involving up to 18 AI agents and sub-agents with one continuous agent—and says pull requests arrived faster and at far lower cost. The result doesn't settle the…

How Many Labeled Examples Does a Text Classifier Actually Need? I Measured It.

Before reaching for an LLM API on every classification problem, it's worth knowing what a decades-old baseline can already do with the labeled data you have — and exactly how much more data buys you. The post How Many…

Why OpenAI’s $300M-Plus Camera Deal Could Be About Much More Than Photos

The Wall Street Journal reports that OpenAI acquired computational-photography startup Glass Imaging in a deal valuing it at more than $300 million. But this looks less like a bet on prettier photos than a bet on visual…

😺 Microsoft wrote a constitution for AI

Polylane Replaced Up to 18 AI Agents With One. Here’s Why.

Polylane replaced an autofix workflow involving up to 18 AI agents with one after handoffs lost evidence. Its reported results show why developers may need to revisit delegation as models improve.

Domain-Specific Jargon in Large Language Models: A Comparative Analysis between General-Purpose and Specialist Models

arXiv:2609.13556v1 Announce Type: cross Abstract: Large Language Models (LLMs) have shown remarkable proficiency on general-purpose tasks, yet their performance often degrades in highly-specialized technical domains.…

Accelerating Transfer-Learning-Based Autotuning with Predictive LLVM IR Performance Ranking

arXiv:2609.15807v1 Announce Type: cross Abstract: As the complexity of High Performance Computing (HPC) ecosys- tems continually increases, achieving optimal performance becomes a challenge. Traditional performance…

To do($x$) or not to do($x$): Medical Image Counterfactuals for Dataset Augmentation

arXiv:2609.14124v1 Announce Type: new Abstract: Medical image analysis is often hindered by biased datasets, which can lead to biased models and limited clinical applicability. A promising strategy for mitigating such…

Curvature-Independent Regret Bounds for Distributed Online Optimization on Hadamard Manifolds

arXiv:2609.13646v1 Announce Type: new Abstract: This work addresses decentralized online Riemannian optimization on Hadamard manifolds. Prior work under geodesic convexity (g-convexity) may require curvature information…

Prescreening Point Defects in Semiconductors With Machine Learning

arXiv:2609.14846v1 Announce Type: cross Abstract: High-throughput calculations using density-functional theory (DFT) are commonly used to explore point defects for applications in power electronics and quantum…

Size Transferability of Graph Transformers with Convolutional Positional Encodings

arXiv:2602.15239v3 Announce Type: replace Abstract: Transformers have achieved remarkable success across domains, motivating the rise of Graph Transformers (GTs) as attention-based architectures for graph-structured…

QSTAR: Quantum Selective Transfer with Adaptive Routing

arXiv:2607.21411v1 Announce Type: cross Abstract: Quantum transfer learning (QTL) is often evaluated by replacing a classical classifier with a fixed variational quantum head, but this hides a key question: when is the…

Learning the Intrinsic Dimensionality of Fermi-Pasta-Ulam-Tsingou Trajectories: A Nonlinear Approach using a Deep Autoencoder Model

arXiv:2601.19567v3 Announce Type: replace-cross Abstract: We address the intrinsic dimensionality (ID) of high-dimensional trajectories, comprising $n_s = 4\,000\,000$ data points, of the Fermi-Pasta-Ulam-Tsingou (FPUT)…

Portable Semantics, Private Dialects: Reuse and Negative Transfer in Latent Communication Between Language-Model Cells

arXiv:2609.11365v1 Announce Type: cross Abstract: In shared-genome language-model societies, restricted evidence visibility favors reusable, value-indexed latent packet interfaces, whereas the sole high-performing…