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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…

SimCast-S2S: A Computationally Efficient Diffusion Model for Subseasonal Precipitation Forecasting

arXiv:2608.26594v3 Announce Type: replace Abstract: Subseasonal-to-seasonal (S2S) precipitation forecasting has substantial financial and societal impact, yet remains challenging because of weak predictive signals, high…

Staged Depth Training: A Representation Curriculum for PINNs

arXiv:2609.30299v1 Announce Type: new Abstract: Representation quality is a central determinant of PINNs' performance, yet standard training leaves representations to emerge implicitly while fitting the final solution.…

CARGO: Context-Aware Retrieval-Gated Evaluation of Agentic AI in Production

arXiv:2609.30471v1 Announce Type: cross Abstract: Reference-based LLM-as-a-judge evaluation assumes the reference answer is the target. In deployed agentic systems that operate over dynamic entities (support cases,…

Decodable In-Context State and Model Output Across Training

arXiv:2609.31401v1 Announce Type: new Abstract: Prior work established that a probe can decode an in-context binding on model errors and that probe-guided steering can repair some of them. We follow probe accuracy,…

BeatGraph: Self-Supervised Heartbeat Graphs for Infant ECG Representations from the Home Environment

arXiv:2609.31546v1 Announce Type: new Abstract: Electrocardiogram (ECG) foundation models typically tokenize the signal into fixed-length patches that ignore cardiac structure, so a patch may split a heartbeat and the…

Critic Architecture Matters: Dual vs. Unified Critics for Humanoid Loco-Manipulation

arXiv:2606.11891v3 Announce Type: replace-cross Abstract: Multi-objective reinforcement learning for humanoid robots must coordinate locomotion and manipulation within one policy. A natural design choice is between a…

Seeing Speech: Learning Visible Articulatory Dynamics for Speech-Driven 3D Facial Animation

arXiv:2609.30517v1 Announce Type: cross Abstract: Recent progress in speech-driven 3D facial animation has improved vertex-level reconstruction quality, but speech-consistent visible articulation remains difficult. This…