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MilleMiglia: A realistic instance generator for middle-mile logistics

Algorithms & Theory

Coding Agents Keep Shipping Silent Failures — Here Is How to Catch Them

How to verify your app aligns with your intent without ever reading a line of generated code. The post Coding Agents Keep Shipping Silent Failures — Here Is How to Catch Them appeared first on Towards Data Science.

Who Grades the AI Tests? Epoch Found Problems in Nine Major Benchmarks

Epoch AI’s benchmark reviews found incorrect answer keys, grading defects, and inconsistent evaluation methods across nine tests. Four others passed, with caveats that explain what their scores can actually tell us.

We Pinned Our Model Version to Stay Safe. The Provider Deprecated It Anyway.

The recurring cost of production AI is not inference. It is re-qualification: the eval reruns, prompt retuning, and regression testing you owe every time a model changes under you. Here is what that tax actually covers,…

The OpenAI Hack Shows Why Every AI Connection Needs Limits

Hacktron’s investigation puts a practical question in front of every company deploying connected AI: how much could someone do with one compromised account?

Starting a Career in Data Science in the Age of AI

How do you set yourself up for a career that will stand the test of time when things are changing so fast? The post Starting a Career in Data Science in the Age of AI appeared first on Towards Data Science.

Multi-Agent Coding Isn’t Enough — Agents Need a Commitment Layer

Multi-agent coding systems don't necessarily fail because agents can't communicate. They can fail because important commitments made in conversation have nowhere to live afterward. The post Multi-Agent Coding Isn’t…

Astra Decoded a 1918 WWI Message. The Evidence Spans Archives.

GPT-6 Astra reportedly decoded a November 1918 German radio message with a key associated with December. Separate naval records support the proposed reading and offer a lesson in checking AI-generated research.

😺 OpenAI Cracked an Old Riddle

Anthropic Says Claude Leads 26% of Its AI Research. The Bigger Story Is Who Sets the Metric

Anthropic says Claude now leads 26% of its measured AI R&D. But the bigger development is the measurement system behind that number—one that could eventually shape how governments decide whether frontier AI is moving…

World Labs’ Atlas Can Build 3D Worlds From a Few Images. The Hard Part Is Knowing What It Invented.

World Labs’ Atlas can turn a handful of images into controllable 3D worlds—even filling in areas no camera captured. That makes it powerful for creators, but raises a harder question as generated environments move…

How AI Cracked an 85-Year-Old WWII Enigma Message

A researcher used GPT-6 Astra and specialist AI agents to recover an 82-letter WWII Enigma message. The investigation published its code and evidence so others could check the result.

Epidemiological Causal Graph Identification: Challenges, Identifiability and Algorithms

arXiv:2609.20676v1 Announce Type: new Abstract: Causal discovery from observational data is fundamental to statistics and machine learning, yet determining causal direction without interventions necessitates structural…

MILER: Semantic Mid-Level Representation for Sim-to-Real Reinforcement Learning in Unstructured Autonomous Driving

arXiv:2609.20747v1 Announce Type: cross Abstract: Reinforcement learning constitutes a promising approach owing to its potential for superhuman performance and self-learned policies. However, its application to…

FedFIbOS: Fisher Importance based Optimal Submodelling for Heterogeneous Federated Learning

arXiv:2609.19559v1 Announce Type: new Abstract: Heterogeneous federated learning requires clients with diverse computational capacities to collaboratively train a global model, where each client trains a…

L2R: Low-Rank and Lipschitz-Controlled Routing for Mixture-of-Experts

arXiv:2601.21349v3 Announce Type: replace Abstract: Mixture-of-Experts (MoE) models scale neural networks by conditionally activating a small subset of experts, where the router plays a central role in determining…

Building a Neural Network from Scratch: Implementation, Evaluation, and Optimization

arXiv:2607.16682v2 Announce Type: replace Abstract: The widespread adoption of high-level deep learning libraries, while accelerating model development, has increasingly abstracted away the internal mechanics of neural…

Randomized SVD Approximations for Spectral Co-Clustering of Word-Document Matrices

arXiv:2609.19243v1 Announce Type: new Abstract: Spectral co-clustering is a useful tool for discovering latent structure in word-document matrices, but its reliance on singular value decomposition (SVD) can make…

Labeled Incidence Structures for Native Transformer Modeling of Text, Knowledge Graphs, and Hypergraphs

arXiv:2609.20278v1 Announce Type: new Abstract: Text, knowledge graphs, and hypergraphs all have elements that play distinct roles within relation instances, structure that is lost when data is flattened into token…

CrystalMO-TuRBO: Multi-Objective Trust-Region Bayesian Optimization for High-precision Joint Crystal Structure Refinement

arXiv:2609.20592v1 Announce Type: new Abstract: Crystal structure refinement is a fundamental inverse problem in materials characterization, where structural parameters are optimized to reproduce experimental…