AI Research

How Diffusion Controller unifies and simplifies AI image generation

Algorithms & Theory

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I Compacted 1,000 Apache Iceberg Files Into 6. Here’s What Happened to Query Performance.

Benchmarking the impact of fewer, larger files across three SQL workloads The post I Compacted 1,000 Apache Iceberg Files Into 6. Here’s What Happened to Query Performance. appeared first on Towards Data Science.

GPT-6 Astra Helped Find a Fusion Math Breakthrough. Here’s What It Proves.

Two independent papers found three families of plasma equilibria long thought unlikely to exist. One researcher credits GPT-6 Astra Pro with helping discover two of them. Here’s what the results prove and what they mean…

When All You Have Are Decoders, Every Decision Looks Like Generation

Not every decision needs a decoder, generation Is not always a decision The post When All You Have Are Decoders, Every Decision Looks Like Generation appeared first on Towards Data Science.

AI Made Data Scientists Faster. Now It’s Expanding the Job.

The real shift is bigger than productivity: AI is reshaping ownership, judgment, and the career path of data scientists. The post AI Made Data Scientists Faster. Now It’s Expanding the Job. appeared first on Towards…

AI Models Can Teach Each Other Skills Without Talking About Them?

A coding-trained AI leaves subtle traces of what it learned even when choosing ordinary words. New research shows another model can learn from those traces and emerge better at coding without ever seeing the teacher’s…

How to Design Architectural Guardrails Around AI Agents

Agent design patterns every data engineer must know The post How to Design Architectural Guardrails Around AI Agents appeared first on Towards Data Science.

Building Fair Evaluation Sets Is a Combinatorial Problem

Here’s how to solve it exactly. The post Building Fair Evaluation Sets Is a Combinatorial Problem appeared first on Towards Data Science.

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Claude Sonnet 5.5 vs GPT-6 Astra: where Sonnet (surprisingly) wins

Anthropic’s newest workhorse model beats GPT-6 Astra on some agentic coding and professional-work benchmarks while charging one-fifth as much per token.

OpenAI Stopped GPT-6.1 Astra. Who Checks the Safety Gate?

OpenAI’s decision to withhold GPT-6.1 Astra shows an internal safety process can stop a model from shipping.

The AI Labs Want Oversight. They Also Control the Evidence.

Anthropic says Claude now leads 26% of its measured AI R&D work, while OpenAI has reached its “automated research intern” milestone. But neither proves AI is caught in a runaway self-improvement loop. The harder…

SAGE: A sampling-aware global evaluation benchmark for species distribution modeling

arXiv:2609.31082v1 Announce Type: new Abstract: Knowing where species occur is fundamental for biodiversity research and conservation. Species distribution models (SDMs) link species observations to environmental…

HiLiftAeroML: A High-Fidelity Computational Fluid Dynamics Dataset for High-Lift Aircraft Aerodynamics

arXiv:2605.19565v2 Announce Type: replace-cross Abstract: HiLiftAeroML is, to our knowledge, the first open high-fidelity computational fluid dynamics dataset dedicated to high-lift aircraft aerodynamics. It contains…

Bringing Agentic Search to Earth Observation Data Discovery

arXiv:2607.02387v2 Announce Type: replace-cross Abstract: NASA and its data centers hold thousands of geoscience datasets and tools like Worldview, Giovanni, the Science Discovery Engine, and Harmony. Finding the right…

Unlocking the Forecasting Economy: A Suite of Datasets for the Full Lifecycle of Prediction Market: [Experiments \& Analysis]

arXiv:2604.20421v2 Announce Type: replace Abstract: Prediction markets are markets for trading claims on universal future events (e.g., presidential elections). Fueled by a meteoric surge with over \$50 billion trading…

Gradient Surgery for Physics-Informed Neural Networks

arXiv:2609.30966v1 Announce Type: new Abstract: Physics-Informed Neural Networks (PINNs) are trained by optimising a composite objective that combines data fitting with physics-based constraints, typically resulting in…

Statistical attribute alignment for black-box generative AI via output post-processing

arXiv:2609.31607v1 Announce Type: cross Abstract: Generative AI systems are increasingly used, but aligning their outputs with user requirements poses a continuing challenge. Here, we aim to ensure that the distribution…

Attention Sinks and Outliers in Attention Residuals

arXiv:2605.17887v2 Announce Type: replace Abstract: We propose OASIS, an outlier- and sink-aware method that stabilizes dual-normalized attention-residual architectures through explicit null routing and token-to-depth…