Back to Articleshttps://huggingface.co/blog !https://huggingface.co/avatars/f8c01941d43578ae1844e2f963101d6b.svghttps://huggingface.co/abedaniels - Overviewove...

AI value the wrong way. Instead of asking “What new capabilities does this unlock?”, the conversation quickly turns into questions such as: How many hours can w...

Who benefits from artificial intelligence? This basic question, which has been especially salient during the AI surge of the last few years, was front and cente...

The following is a joint announcement from the MIT School of Architecture and Planning, MIT Schwarzman College of Computing, Hasso Plattner Institute, and Hasso...

fails in predictable ways. Retrieval returns bad chunks; the model hallucinates. You fix your chunking and move on. The debugging surface is small because the a...

!Cover image for I burned $250 in tokens on day one with OpenClaw. Here's why.https://media2.dev.to/dynamic/image/width=1000,height=420,fit=cover,gravity=auto,f...

One Agent or Many? This Choice Changes Everything 🤔🤖🤖 When teams start building agentic systems, a key question appears early: Should we build one powerful...

You're paying $39/month for Manus AI. You think you're getting $39 worth of autonomous AI work. You're not. After tracking every single task I ran over 30 days...

Background I was listening to Grady Booch on The Third Golden Age of Software Engineering episode of The Pragmatic Engineer. During the episode he mentioned a...

Perplexity introduced Perplexity Health, a suite of connectors that allow the AI to access your personal health data. !perplexity healthhttps://images.macrumors...

Why Vocabulary Matters When Talking About AI I've been having a lot of conversations with non‑tech people recently about AI. What I keep running into is the sa...

Motivation Current benchmarks for large language model LLM code generation primarily evaluate mainstream languages like Python, where models benefit from massi...

!Cover image for Congrats to the 'Built with Google Gemini: Writing Challenge' Winners!https://media2.dev.to/dynamic/image/width=1000,height=420,fit=cover,gravi...

We've achieved 10× data efficiency with NanoGPT Slowrun within a few weeks. An ensemble of 1.8 B‑parameter models 18 B total parameters trained on 100 M tokens...

There’s something interesting happening with AI agents that most people haven’t noticed yet. When you put a hard policy gate in front of a model—a deterministic...

Background A little more than a year after ditching third‑party fact‑checkers and rolling back much of its proactive content moderation, Meta announced it will...

As Silicon Valley obsesses over a new wave of AI coding agents, Google and other AI labs are shifting their bets....

While Multimodal Large Language Models demonstrate impressive semantic capabilities, they often suffer from spatial blindness, struggling with fine-grained geom...

The ability to render scenes at adjustable fidelity from a single model, known as level of detail (LoD), is crucial for practical deployment of 3D Gaussian Spla...

Visual generation with discrete tokens has gained significant attention as it enables a unified token prediction paradigm shared with language models, promising...

Reconstructing articulated 3D objects from a single image requires jointly inferring object geometry, part structure, and motion parameters from limited visual ...

Prior motion generation largely follows two paradigms: continuous diffusion models that excel at kinematic control, and discrete token-based generators that are...

There are two major categories of embodied navigation: Vision-Language Navigation (VLN), where agents navigate by following natural language instructions; and O...

Current instruction-guided video editing models struggle to simultaneously balance precise semantic modifications with faithful motion preservation. While exist...

We introduce Multi-Object Generative Perception (MultiGP), a generative inverse rendering method for stochastic sampling of all radiometric constituents -- refl...

Real-world financial decision-making is a challenging problem that requires reasoning over heterogeneous signals, including company fundamentals derived from re...

Video object removal aims to eliminate dynamic target objects and their visual effects, such as deformation, shadows, and reflections, while restoring seamless ...

We present F2LLM-v2, a new family of general-purpose, multilingual embedding models in 8 distinct sizes ranging from 80M to 14B. Trained on a newly curated comp...

Denoising diffusion models are widely used for high-quality image and video generation. Their performance depends on noise schedules, which define the distribut...

Online learning in arbitrary, and possibly adversarial, environments has been extensively studied in sequential decision-making, and it is closely connected to ...

We introduce Nemotron-Cascade 2, an open 30B MoE model with 3B activated parameters that delivers best-in-class reasoning and strong agentic capabilities. Despi...

With the growing adoption of vision-language-action models and world models in autonomous driving systems, scalable image tokenization becomes crucial as the in...

Understanding and generating 3D objects as compositions of meaningful parts is fundamental to human perception and reasoning. However, most text-to-3D methods o...

Let V be a smooth cubic surface over a p-adic field k with good reduction. Swinnerton-Dyer (1981) proved that R-equivalence is trivial on V(k) except perhaps if...

Large vision--language models (VLMs) often use a frozen vision backbone, whose image features are mapped into a large language model through a lightweight conne...

Phishing detectors built on engineered website features attain near-perfect accuracy under i.i.d. evaluation, yet deployment security depends on robustness to p...

The signature is a canonical representation of a multidimensional path over an interval. However, it treats all historical information uniformly, offering no in...

Large language models (LLMs) have been widely used as knowledge backbones of Large Audio Language Models (LALMs), yet how much auditory knowledge they encode th...

Reinforcement Learning (RL) has the potential to improve the robustness of GUI agents in stochastic environments, yet training is highly sensitive to the qualit...

Randomized controlled trials (RCTs) are the gold standard for estimating heterogeneous treatment effects, yet they are often underpowered for detecting effect h...

Large language models (LLMs) demonstrate strong generative capabilities but remain vulnerable to hallucination and unreliable reasoning under adversarial prompt...

The first of four articles about building an AI system that runs continuously, knows it will be destroyed every few hours, and must figure out how to persist an...

As agentic AI systems become increasingly capable of generating and optimizing GPU kernels, progress is constrained by benchmarks that reward speedup over softw...

Conventional pixel-wise loss functions fail to enforce topological constraints in coronary vessel segmentation, producing fragmented vascular trees despite high...

New AI Content Enforcement Systems Meta announced that it is beginning to roll out more advanced AI systems to handle content enforcement while reducing its re...

We evaluate Large Language Models (LLMs) in repeated game-theoretic settings to assess whether strategic performance reflects genuine reasoning or reliance on m...

Robots collaborating with humans must convert natural language goals into actionable, physically grounded decisions. For example, executing a command such as 'g...

Combinatorial optimization problems arise in logistics, scheduling, and resource allocation, yet existing approaches face a fundamental trade-off among generali...