AI Research

True Positive Weekly #180

The most important artificial intelligence and machine learning news and articles

😺 Hume AI: Voice Has a Listening Problem

How Many Stories Can Your Data Tell?

How the way we represent data can change what we think the data is saying The post How Many Stories Can Your Data Tell? appeared first on Towards Data Science.

My First Day With OpenAI Dots: Easy Setup and a Very Likeable Assistant

OpenAI’s new Dots tool gave me a persistent assistant named Herman. After one night and a morning, I’m enjoying how natural it feelsand how little setup it takes.

Insight Is Still the Currency of Data Science

Coding agents give us more time for discovery and our review practices should follow the analysis The post Insight Is Still the Currency of Data Science appeared first on Towards Data Science.

How to Solve Issues When You Nest Measures While Overwriting the Same Filter

In DAX, we reuse existing measures all the time when writing new measures. What happens when we write a measure based on another measure and try to change a filter already set in the nested measure? The post How to…

OpenAI DevDay 2026: ChatGPT is becoming an AI operating system

OpenAI launched more than 20 products at DevDay 2026. Together, Dots, plugins, Agents API, Space, Sign in with ChatGPT, and Private Intelligence reveal a much bigger plan.

Zuckerberg’s Next AI Bet: Teaching Muse When to Keep Quiet

A personal AI agent can know something about you without having permission to share it. Zuckerberg says teaching Muse that distinction is a core capability—and a requirement for earning users’ trust.

DeepSeek Opened the Code. Can Huawei Deliver the Compute?

DeepSeek is making more of its AI infrastructure work with Huawei’s Ascend chips, potentially lowering one barrier to switching away from Nvidia. Whether that becomes a real alternative now depends on developers, chip…

Towards Spec-Driven Test Automation: Part 2

One run, and what it actually proves The post Towards Spec-Driven Test Automation: Part 2 appeared first on Towards Data Science.

😺 OpenAI launched Dots + 20 more tools

CRJudgeBench: Can AI Detect Plausible but Invalid Code Reviews?

arXiv:2609.37216v1 Announce Type: cross Abstract: Large language models can generate plausible code-review comments, but such comments may contain technically incorrect claims that mislead developers. We study technical…

UNBIND: UNlearning By INference-time Directional Steering for Code LLMs

arXiv:2609.35913v1 Announce Type: cross Abstract: Code large language models acquire programming capabilities from large code corpora, but can also memorize implementations that later require removal. Code unlearning is…

Support-Set Target Leakage in Relational Foundation Models during In-Context Learning: Impact, Detection, and Mitigation

arXiv:2609.36384v1 Announce Type: new Abstract: Relational in-context learning (ICL) conditions predictions on the labeled support examples and their linked tables, creating a failure mode when the support set contains…

Intrinsic Associative Memory on Riemannian Manifolds: Curvature, Capacity, and Emergent Modes

arXiv:2609.35948v1 Announce Type: cross Abstract: Geometry does more than constrain an associative memory: curvature determines what it remembers and which states it creates. We develop intrinsic dense associative…

Code4Scene: Benchmarking Coding Agents for Constructing and Editing 3D Scenes

arXiv:2609.36777v1 Announce Type: new Abstract: Frontier coding agents can now write and execute code that authors 3D environments, but whether they reliably understand 3D structure and precisely control scene state…

NowcastDiT: Diffusion Transformers are Effective Precipitation Nowcasters

arXiv:2609.37038v1 Announce Type: cross Abstract: Precipitation nowcasting demands accurate short-term forecasts under strong spatiotemporal variability. Diffusion models are well suited to modeling complex…

Reward-rate Policy Gradient for Efficient Machine Learning Engineering Agents

arXiv:2609.36393v1 Announce Type: cross Abstract: Traditional reinforcement learning (RL) techniques focus on maximizing expected cumulative reward, where each action assumes to take a constant unit of time. However,…

Where Does Staleness Accumulate? Pool Aware Effective Staleness Control for Asynchronous RL in LLM Post-Training

arXiv:2609.36830v1 Announce Type: new Abstract: Fully asynchronous reinforcement learning (RL) improves resource utilization in large language model post-training by overlapping rollout generation with policy…

Guide, Then Let Go: Gap-Adaptive Teacher Scheduling for Sparse-Reward Agentic RL

arXiv:2609.37898v1 Announce Type: new Abstract: Reinforcement learning for long-horizon agents typically relies on sparse outcome-based rewards. This leads to a severe cold-start problem, as early-stage policies often…