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Moonshot AI has unveiled Kimi K3.1 Pro, an AI model that ships with the potential to build games, create 3D models and handle financial research. The company revealed it has reduced the model's cyber-offensive capabilities amid growing concerns about AI-powered hacking. Full model weights are expected to be released on November 4.
Researchers at MIT’s Computer Science and Artificial Intelligence Laboratory placed thirteen independent copies of an AI agent named Eko on a small simulated desert island and left them there for thirty hours apiece with no assigned task, no score to chase, and no reward waiting at the end. Each Eko ran on Claude Opus 4.7 inside a coding environment that let it issue commands to move, jump, pick up, place, and throw objects while receiving only text descriptions of positions and shapes rather…
Uber Technologies Inc (NYSE:UBER) and DoorDash Inc (NASDAQ:DASH) may be justified in blocking external artificial intelligence agents for now, as the technology threatens to disrupt their business models,
Controllable 3D part generation is pivotal for digital asset creation, yet existing methods lack the flexibility to accommodate diverse user workflows requiring varying levels of control. In this paper, we introduce FlexPart, a unified image-to-3D part generation framework that supports variable-granularity geometric conditions within a single model. By seamlessly integrating heterogeneous inputs, ranging from sparse points to dense bounding boxes and masks, via gated adaptive modulation, FlexPart unlocks a powerful cross-modal synergy. We also propose an asymmetric geometric guidance mechanism that leverages strong spatial priors to align representations across granularities, improving geometric consistency and facilitating inter-task synergy. Under mask conditioning on PartVerseXL, FlexPart reduces Part CD by 16.6% relative to TripoSG + SAM3D and by 10.5% relative to OmniPart, while maintaining competitive whole-mesh quality. The code can be found at https://github.com/Gucci233/FlexPart
Flint is Recursive’s mixture-of-experts language model for coding agents, with 39.8 billion total parameters and approximately 2.5 billion active per token. It is designed to investigate codebases, fix bugs, implement features, and write tests.
OpenAI is poaching Anthropic's customers with steep discounts. Companies like Rippling, Replit, and DataCamp say they've cut AI costs by up to 90 percent after switching. Anthropic's growth has slowed, but OpenAI is trading its own margins for market share. Chinese rivals like…
We present the first complete machine learning method for accelerating plane-wave density functional theory (DFT) in materials under the projector augmented wave (PAW) formalism. We formalize seven criteria that a Complete Neural Electronic Initializer must satisfy for…
Topology optimization (TO) represents a significant step towards automating the design process: given a working simulation, TO can produce a viable prototype at the press of a button by differentiating the simulation and iteratively improving the design. In practice, however,…
Emergency department (ED) decision-making relies on heterogeneous clinical information, including patient history, vital signs, laboratory results, and electrocardiograms (ECGs). Vision--language models (VLMs) can jointly process these modalities, but strong predictive…
Deep learning-based visual odometry (VO) has achieved significant progress, yet most existing methods focus on a monocular approach, which suffers from scale ambiguity. Stereo VO provides real metric by its nature, but remains less studied in deep learning VO due to its high…