04:00 <Ada> arXiv.org | Green-Routed Neural Operators: Physics Determines Where the Network Reads Chenhao Si, Ming Yan · 1d ago · 3 min read We identify a mismatch between the physical role of transport fields in many PDEs and their usual role in neural operators: PDEs use them to select read coordinates, whereas neural operators typically treat them only as input values. We address this mismatch with the Green-Routed Neural Operator (GRNO), which uses the governing equation to determine where... Read full story

04:00 <Ada> arXiv.org | Video2World: Benchmarking Coding Agents for Interactive World Modeling from Embodied Videos 4h ago · 3 min read Building interactive simulators from real-world observations is a promising way to scale embodied data, but current pipelines still rely heavily on manual environment construction and calibration. We study whether frontier foundation models and coding agents can automate this process end to end. We formulate \emph{autonomous video-to-simulation} as a soft... Read full story

04:00 <Ada> arXiv.org | AgroGround: Multi-Granularity Grounded Recognition in Agriculture Abdulla Alshehhi, Zongyan Han, Rao Muhammad Anwer · 4h ago · 3 min read Agricultural visual models are typically evaluated for either recognition or localization, but reliable diagnosis requires identifying what is present and localizing the evidence. Agricultural visual question answering (VQA) datasets carry rich semantic labels but rarely link them to image regions, and adding such annotations by hand is costly at scale. W... Read full story

04:00 <Ada> arXiv.org | Solving VeriContest with a Lean-Backed Rust Verifier Traian Serbanuta, Jun Xu, Andrei Stefanescu, Cosmin Radoi · 4h ago · 3 min read VeriContest is a benchmark of 1007 competitive-programming problems in Rust, each with a Verus specification, a judge-accepted solution, and a Verus proof. Its authors report that proof generation is the bottleneck for frontier models: given the specification and the code, the best model produces an accepted Verus proof for 13.95% of the problems on the f... Read full story

04:00 <Ada> arXiv.org | GOTT: Object-centric Dexterous Manipulation with a Reusable Cross-Embodiment Primitive 4h ago · 3 min read Foundation models and large-scale human data provide rich sources of manipulation intent, but translating this intent into multi-fingered robot behavior remains difficult. Dexterous hands still lack a reusable low-level primitive that reliably establishes contact across tasks and embodiments. We propose GOTT, a reach-acquire-move framework built around a ... Read full story

04:00 <Ada> arXiv.org | Evolving Hybrid Quantum-Classical Architectures for Image Classification Devroop Kar, Daniel Krutz, Travis Desell · 1d ago · 3 min read Hybrid quantum classical neural networks integrate parameterized quantum circuits (PQCs) with established deep learning architectures, but their performance depends strongly on the choice of quantum circuit architecture, a choice that remains largely manual. Most existing approaches rely on hand-designed or fixed circuit ansätze, requiring circuit structu... Read full story

04:00 <Ada> arXiv.org | Selection-Based Structured Reasoning: Toward Efficient Multimodal Search Agents 4h ago · 3 min read Multimodal agents commonly generate free-form reasoning before each action. For small models, limited model capacity can result in lengthy reasoning that provides little useful guidance for action generation while incurring substantial inference cost. To address this challenge, we introduce Selection-based Structured Reasoning (SSR), a framework that refo... Read full story

04:00 <Ada> arXiv.org | Exploring More, Reasoning Better: Stepwise Risk-Sensitive GRPO for Diffusion Language Models Yue Yu, Bowen Zuo, David Crandall, Yinglun Zhu, Dongruo Zhou · 1d ago · 3 min read Diffusion large language models (dLLMs) generate text by denoising a sequence or successive blocks, allowing several tokens to be revealed in parallel. Reinforcement learning with verifiable rewards (RLVR) reuses terminal feedback across these decisions, even as their conditioning context changes. We propose stepwise risk-sensitive GRPO (StepRS-GRPO), whi... Read full story

04:00 <Ada> arXiv.org | Useful to Whom? The Easy-versus-Coverage Boundary Moves with the Learner Yangze Liu, Xiao-Long Yin, Zhongyi Han · 1d ago · 3 min read Is the same data equally useful to every learner? The question is whether the value of a training sample belongs to the sample or arises in its interaction with the learner. We test it with a selection experiment. Under a per-class budget, two kinds of samples compete for the slots: easy samples, which a short training run learns first, and coverage sampl... Read full story

04:00 <Ada> arXiv.org | Scale and Selection: What Makes Automatic Harness Evolution Work for Visual-Interface Robot Agents Zhijie Wei, Ferris Tan, Jinghui Wang · 4h ago · 3 min read When an off-the-shelf coding agent is used directly as a robot policy, observing a browser-based 3D interface through screenshots and acting by posing a virtual target gripper through a few tools, the agent's harness, its prompts, tools, and control rules, largely determines success, and until now it has been written by hand. We show that this harness can... Read full story

04:42 <Vega> MIT News | Massachusetts Institute of Technology | Q&A: Building accountability behind our words — and AI’s — in civic conversations Peter Dizikes | MIT News · 4h ago · 12 min read Deb Roy, director of the MIT Center for Constructive Communication, calls for a renewed emphasis on responsibility in civic communication, asserting that even when AI is used to craft text, there needs to be accountability and “answerability.” Read full story

16:42 <Vega> Google | Gemini 4 Argon: Built to solve your hardest problems Koray Kavukcuoglu · 16h ago · 14 min read We’re giving developers, enterprises, scientists, and consumers access to Gemini 4 Argon, our latest frontier model. Read full story

16:42 <Vega> Google DeepMind News | Gemini 4 Argon for Robotics- Google Developers Blog Kanishka Rao · 16h ago · 18 min read Gemini 4 Argon is a general-purpose physical reasoning model designed to enhance workflows across the robotics stack with advanced capabilities in physical understanding, code generation, and visual-semantic reasoning. Developers can access and integrate Argon across Google's developer platforms—including Google AI Studio, the Gemini API, and Google Antig... Read full story

17:54 <Ada> Hugging Face | Run fast, private agents on-device with LFM2.5-24B-A2B Raahul Vignesh · 48m ago · 5 min read A Blog post by Liquid AI on Hugging Face Read full story

19:49 <Vega> Google | Developing Gemini 4 Argon responsibly and safely Anca Dragan · 19h ago · 6 min read Learn more about our approach to safety and security for Gemini 4 Argon. Read full story

19:51 <Vega> OpenAI News | Higgsfield takes AI video from 1 minute to over 10 7h ago Higgsfield brings creators longer videos with GPT-6 Astra, precise visuals with GPT-Image-2.5, and a path to voice filmmaking with GPT-Live. Read full story

20:45 <Vega> MIT News | Massachusetts Institute of Technology | 3 Questions: What is the best path forward for AI in academia? 5d ago · 9 min read A new essay from MIT Statistics and Data Science Center Director Sasha Rakhlin synthesizes recent discussions and readings about how AI is changing academia — particularly mathematics, statistics, machine learning, and engineering. He shares key questions that departments and universities need to think about, and how they can best work with AI going forward. Read full story

21:47 <Vega> MIT News | Massachusetts Institute of Technology | Documenting the tech worker movement Maria Iacobo | School of Architecture and Planning · 11d ago · 5 min read MIT PhD student JS Tan co-wrote with Clarissa Redwine the book "Against Tech Oligarchy," on the rise and fall of the tech worker labor movement of the past decade. The book chronicles how tech workers organized themselves, effective strategies they used, and effects the movement and tech development had on Silicon Valley labor politics. Read full story

21:47 <Vega> MIT News | Massachusetts Institute of Technology | MIT Lincoln Laboratory hosts National Security Commission on Emerging Biotechnology Kylie Foy | MIT Lincoln Laboratory · 5h ago · 4 min read MIT Lincoln Laboratory hosted the National Security Commission on Emerging Biotechnology (NSCEB) for a stop on its national roadshow. The event convened representatives of state organizations, defense centers, universities, technology companies, and business executives to discuss how Massachusetts' biotechnology ecosystem can strengthen national biodefens... [Read full story](<https://news.mit.edu/2026/mit-lincoln-laboratory-hosts-national-security-commission-emerging-biotec...

21:47 <Vega> MIT News | Massachusetts Institute of Technology | How artificial neural networks build their own learning machinery Jennifer Michalowski | McGovern Institute for Brain Research · 4h ago · 4 min read MIT neuroscientists have shown it possible for an artificial neural network to build its own learning machinery. With simple instructions about how and when connections should change, a group of randomly connected units can reshape itself into an effective information-processing network, learning from the data it is trained on. Read full story

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