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arXiv:2512.14177v3 Announce Type: replace Abstract: Large Vision-Language Models (LVLMs) often produce plausible but unreliable outputs, making robust uncertainty estimation essential. Recent work on

I cannot provide a summary for this entry because: 1. The request asks me to generate a screenshot, which I cannot do 2. I cannot verify the factual accuracy of the claim about a banned Dora the Explo

John Ainger / Bloomberg: In a letter to Utah Senate President, Kevin O'Leary says he will cut a 40,000-acre AI data center project in Utah by roughly half, after backlash from lawmakers — A proposed U

arXiv:2606.05042v1 Announce Type: cross Abstract: Marginal inference in discrete graphical models forces a choice between exactness and scalability: exact algorithms are intractable for high-treewidth

Ethan Mollick observes that both OpenAI and Anthropic's official documentation frequently falls behind their actual product releases by several months, resulting in outdated and conflicting informatio

OpenAI Group PBC’s newly released proposal for how advanced artificial intelligence should be regulated differs slightly from the Trump administration’s executive order, also released this week. Relea

arXiv:2604.04944v2 Announce Type: replace-cross Abstract: Multiple-choice questions (MCQs) are widely used to evaluate large language models (LLMs). However, LLMs remain vulnerable to the presence of

Incredible. Goldman Sachs is the lead left on the SpaceX IPO, and somehow @ft fails to mention this in the headline below 🤦‍♂️ Goldman Sachs expects SpaceX’s AI revenue to surge 100 times by 2030 http

arXiv:2606.04227v1 Announce Type: cross Abstract: We present an algorithmic framework for incremental maintenance of first sheaf cohomology H^1(X; F) on dynamically evolving 1-dimensional cellular com

arXiv:2606.04778v1 Announce Type: new Abstract: Safety-aligned Large Language Models (LLMs) remain vulnerable to interventions during inference that redirect generation toward harmful outputs. Recent

arXiv:2606.04656v1 Announce Type: cross Abstract: Object detection is a safety-critical component of autonomous driving. It is essential to quantify the uncertainty in bounding-box predictions for saf

arXiv:2606.04269v1 Announce Type: cross Abstract: Deformable object manipulation (DOM) is challenging due to high-dimensional, partially observable states that evolve through long-horizon, topology-ch

arXiv:2606.05071v1 Announce Type: new Abstract: Language-guided photo retouching aims to adjust color and tone while preserving geometry and texture. Recently, diffusion-based retouching shows a super

arXiv:2606.04437v1 Announce Type: new Abstract: Collaborative perception extends the perceptual range of autonomous vehicles by sharing information across agents, but heterogeneous sensors and percept

arXiv:2602.04101v2 Announce Type: replace Abstract: We present Interfaze, a native hybrid model that fuses task-specific deep neural networks (CNNs and DNNs) directly into a transformer decoder throug

Jennifer Valentino-DeVries / New York Times: Internal docs from lawsuits by 1,400 school districts show how social media companies targeted kids: Meta paid “teen ambassadors”, Snap sent school-hour al

arXiv:2606.04061v1 Announce Type: new Abstract: Large-scale web-harvested datasets have fueled the progress of cross-modal retrieval but inevitably suffer from noisy correspondence, which severely deg

IBM Research introduced Granite Libraries and Project Granite Switch, which are tools and initiatives designed to improve software development and system integration. These offerings likely focus on p

Introducing Magenta RealTime 2 🎺 - Open model for live music generation - Just 2.4B parameters, perfect for on-device - Low latency control - Control with audio, MIDI, and text We're releasing it with

Introducing NVIDIA Nemotron 3 Ultra. A frontier smart open model built for long-running agents that need to plan, reason, use tools and keep working across complex coding, research and enterprise work

Together AI announced a free, open-source tool called 'PDF to Lesson' that converts PDF documents into interactive, personalized courses using open-source GPT models running on Together's platform. Th

Introducing two NVIDIA Nemotron models on Together AI: Nemotron 3 Ultra for high-throughput agentic workloads and Nemotron 3.5 ASR for low-latency multilingual speech recognition. AI natives can now b

arXiv:2606.05025v1 Announce Type: cross Abstract: Large language models (LLMs) suffer from shortcut learning: they systematically fail on out-of-distribution (OOD) inputs whose semantic surface differ

arXiv:2606.04033v1 Announce Type: new Abstract: The validation of advanced nuclear reactor designs and fuel concepts requires critical experiments with high neutronic similarity to the target technolo

arXiv:2606.04863v1 Announce Type: new Abstract: We introduce IRIS-GAN, a specialist forensic detector for synthetic face images under cross-generator shift. Rather than addressing universal synthetic-

Is this too much to ask of AGI? Of course not. Can any current AI do this? Of course not. Offering a “damn, I’m truly impressed” award, for the first person or team to build a domain-general AI system

It seems like @GaryMarcus was right: the AI revenue models are imploding Sam Altman said AI budgeting has recently become a 'huge issue' for some companies, something that 'never came up' earlier this

Gary Marcus critiques a company's decision to pursue an IPO at a trillion-dollar valuation despite allegedly being on the brink of financial collapse. The post suggests this represents either audaciou

its been such fun befriending Pari and seeing him completely reinvent his company for the agentic era, WHILE having the most insanely stacked customer base I've ever seen in the hardest engineering do

David Holz suggests that concerns about data centers' water consumption could paradoxically drive the industry toward space-based solutions where water scarcity is not a constraint. The post appears t

arXiv:2602.12147v4 Announce Type: replace Abstract: Time series foundation models (TSFMs) are revolutionizing the forecasting landscape from specific dataset modeling to generalizable task evaluation.

arXiv:2510.09953v3 Announce Type: replace Abstract: Manual medical image segmentation by clinicians, though accurate, is time-consuming and variable across experts, whereas AI-based models automate th

Join me on June 11 at Lincoln Center in NYC for a conversation with Ron Howard about film and AI, and on June 18 at the Broad Stage Theatre in Los Angeles for a conversation with Roger Avary and Gala

Sam Altman has identified AI budgeting as an emerging 'huge issue' for companies, suggesting that organizations are struggling with cost management and resource allocation as AI adoption accelerates.

Kevin O'Leary agreed to halve the size of his planned 40,000-acre data center in Utah amid mounting pressure from residents and activists, as reported earlier by local affiliate ABC4. The Shark Tank s

Kinda crazy (but typical, sadly) that some moron just claimed that I was “doomer” who said that all jobs would be replaced when I actually publicly predicted the opposite! Receipt, from my essay “25 p

arXiv:2509.15676v2 Announce Type: replace-cross Abstract: In-context learning (ICL) has emerged as a powerful paradigm for adapting large language models (LLMs) to new and data-scarce tasks using only

arXiv:2606.04404v1 Announce Type: cross Abstract: The deep neural network is a widely used framework in machine learning that has been widely applied in various fields. However, deep neural networks o

arXiv:2606.05104v1 Announce Type: new Abstract: Knowledge benchmarks for LLMs face three issues: scaling-driven designs that do not operationalize disciplinary representativeness; flat-payment annotat

arXiv:2606.04180v1 Announce Type: new Abstract: Vision-language foundation models such as CLIP and SigLIP provide widely used representations for multimodal learning systems. While these models are ty

arXiv:2606.04419v1 Announce Type: cross Abstract: MRI provides excellent soft-tissue contrast without ionizing radiation, but long acquisition times increase patient discomfort while also raising exam

arXiv:2601.21461v3 Announce Type: replace-cross Abstract: Modern sparse language models typically achieve sparsity through Mixture-of-Experts (MoE) layers, which dynamically route tokens to dense MLP

La stratégie nationale en matière d’IA dévoilée aujourd’hui prône le développement d’une technologie sécuritaire, éthique, digne de confiance, et bénéfique pour l’ensemble de la société — ce sont les

arXiv:2511.06331v2 Announce Type: replace Abstract: Detailed structural and species information on individual tree level is increasingly important to support precision forestry, biodiversity conservat

arXiv:2606.04075v1 Announce Type: cross Abstract: Reinforcement learning (RL) has become a dominant post-training paradigm, enabling large language models (LLMs) to learn from rewards. We observe that

arXiv:2606.04846v1 Announce Type: new Abstract: As Large Language Models (LLMs) become increasingly popular in educational settings, they raise important questions about the ethical implications of th