FLUX.1-dev-FP8 Explained: A Memory-Efficient Image Generation Model
Learn what FLUX.1-dev-FP8 is, how it works, where it performs best, and what limits to consider before using it.
Like
0
Liked
Liked
How Glooko Turns 3B+ Data Points/Month into Lifesaving Diabetes Healthcare with Tiger Data
:::tip This is an installment of our “Community Member Spotlight” series, in which we invite our customers to share their work, spotlight their success, and inspire others with new ways to use technology to solve problems. In this edition, Per Grapatin, Vice-President of Engineering at Glooko, a diabetes monitoring solution used by 1M+ patients, shares how they migrated one of their largest and most critical medical data workloads from a leading document database to Tiger Cloud, unlocking lower storage costs, faster […]
Like
0
Liked
Liked
TransMASK: Masked State Representation through Learned Transformation
arXiv:2603.05670v1 Announce Type: new Abstract: Humans train robots to complete tasks in one environment, and expect robots to perform those same tasks in new environments. As humans, we know which aspects of the environment (i.e., the state) are relevant to the task. But there are also things that do not matter; e.g., the color of the table or the presence of clutter in the background. Ideally, the robot’s policy learns to ignore these irrelevant state components. Achieving this […]
Like
0
Liked
Liked
What Is AI Alignment?
Artificial intelligence is advancing faster than ever before and often reaches impressive heights. The growth of AI-based startups has accelerated 14 times since 2020. AI has really penetrated any and every corner of our lives: from content creation to fintech to healthcare. However, the problem with AI is that it often doesn’t exactly do what we request of it. It often represents a black box that interprets our queries in its own way. And sometimes it can be […]
Like
0
Liked
Liked
The 5 Highest-Grossing Comic Book Movies of All Time
Successful comic book adaptations have been a thing since forever, but we can all agree that it’s only been in the last 15 years or so that comic book movies have really become a juggernaut at the box office. And the numbers back this up; multiple comic book movies have crossed the billion-dollar mark in the last decade and a half. This got me thinking, however. Out of all the comic book movies that have been released, which […]
Like
0
Liked
Liked
Opportunities and Challenges of Natural Language Processing for Low-Resource Senegalese Languages in Social Science Research
arXiv:2601.09716v1 Announce Type: new Abstract: Natural Language Processing (NLP) is rapidly transforming research methodologies across disciplines, yet African languages remain largely underrepresented in this technological shift. This paper provides the first comprehensive overview of NLP progress and challenges for the six national languages officially recognized by the Senegalese Constitution: Wolof, Pulaar, Sereer, Joola, Mandingue, and Soninke. We synthesize linguistic, sociotechnical, and infrastructural factors that shape their digital readiness and identify gaps in data, tools, and benchmarks. Building on […]
Like
0
Liked
Liked
MoE-ACT: Improving Surgical Imitation Learning Policies through Supervised Mixture-of-Experts
Imitation learning has achieved remarkable success in robotic manipulation, yet its application to surgical robotics remains challenging due to data scarcity, constrained workspaces, and the need for an exceptional level of safety and predictability. We present a supervised Mixture-of-Experts (MoE) architecture designed for phase-structured surgical manipulation tasks, which can be added on top of any autonomous policy. Unlike prior surgical robot learning approaches that rely on multi-camera setups or thousands of demonstrations, we show that a lightweight action […]
Like
0
Liked
Liked
Offline Discovery of Interpretable Skills from Multi-Task Trajectories
arXiv:2602.01018v1 Announce Type: new Abstract: Hierarchical Imitation Learning is a powerful paradigm for acquiring complex robot behaviors from demonstrations. A central challenge, however, lies in discovering reusable skills from long-horizon, multi-task offline data, especially when the data lacks explicit rewards or subtask annotations. In this work, we introduce LOKI, a three-stage end-to-end learning framework designed for offline skill discovery and hierarchical imitation. The framework commences with a two-stage, weakly supervised skill discovery process: Stage one performs coarse, task-aware […]
Like
0
Liked
Liked
Elon Musk’s xAI sued for turning three girls’ real photos into AI CSAM
A tip from an anonymous Discord user led cops to find what may be the first confirmed Grok-generated child sexual abuse materials (CSAM) that Elon Musk’s xAI can’t easily dismiss as nonexistent. As recently as January, Musk denied that Grok generated any CSAM during a scandal in which xAI refused to update filters to block the chatbot from nudifying images of real people. At the height of the controversy, researchers from the Center for Countering Digital Hate estimated […]
Like
0
Liked
Liked
Evaluating GFlowNet from partial episodes for stable and flexible policy-based training
arXiv:2603.01047v1 Announce Type: cross Abstract: Generative Flow Networks (GFlowNets) were developed to learn policies for efficiently sampling combinatorial candidates by interpreting their generative processes as trajectories in directed acyclic graphs. In the value-based training workflow, the objective is to enforce the balance over partial episodes between the flows of the learned policy and the estimated flows of the desired policy, implicitly encouraging policy divergence minimization. The policy-based strategy alternates between estimating the policy divergence and updating the policy, […]
Like
0
Liked
Liked