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

Mutually Adversarial Self-Training with Evolving Data for Unified Multimodal Models

arXiv:2609.36224v1 Announce Type: cross Abstract: Unified multimodal models (UMMs) combine image generation and visual understanding in a shared backbone. Since generation and understanding are inverse tasks, recent…

Do-JEPA: From Masking to Intervention in Latent World Models

arXiv:2609.37378v1 Announce Type: cross Abstract: Latent world models are trained to predict what happens next, so nothing in their objective separates what an action caused from what merely co-occurred with it.…

ROSS: Relearning from Self-Generated Rollouts through Selective Supervision

arXiv:2609.35954v1 Announce Type: cross Abstract: Large language model post-training generates self-generated rollouts through reinforcement learning and on-policy distillation, yet this experience is often treated as…

PreviewDiff: Multimodal Critic-Guided Search over Diffusion Latents

arXiv:2609.36199v1 Announce Type: cross Abstract: Diffusion models can produce striking images and videos, but they still struggle with the compositional details that make a generation faithful to a prompt, such as…

Interpolated Policy Distillation: A Controllable Continuum Between Off-Policy and On-Policy Distillation

arXiv:2609.37170v1 Announce Type: cross Abstract: Off-policy and on-policy distillation have traditionally been formulated as separate paradigms, each favoring a different property of distillation trajectories.…

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…