The streaming giant claims third-party AI bots will drive the next wave of music consumption. Campaign groups warn human artists are being pushed out of the financial frame entirely.
We created a list of the most notable AI agents that can live in your text messages, from general assistants to agents designed for families, travel, and work.
Retailers plan to be agent-ready in two years. The calendar is less patient: Apple's HomeView ships Nov 13, Wells Fargo's AI-agent terms take effect Nov 24, Black Friday falls Nov 27 — and only 15% of merchants hold the data agents need.
Chinese AI startup Moonshot AI has weakened the hacking skills of its new model, Kimi K3.1 Pro. The Beijing company announced the change on October 24. It plans
Moonshot AI has launched Kimi K3.1 Pro, a groundbreaking 3-trillion-parameter AI model with advanced features like a 1-million-token context window and unmatched performance across various applications. Full model weights will be released by November 4.
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.
Autonomous AI agents increasingly act across organizational boundaries on behalf of human operators: they invoke third-party services, delegate subtasks to other agents, and pay for metered resources. Deploying such agents safely requires five capabilities that today live in…
Token selection for instruction tuning is coupled: supervision utility depends on retained context, and vice versa. Existing methods largely optimize prompt compression or response supervision separately. Combining selectors can value supervision using removed context, or…
Generative models are rapidly expanding image quality assessment (IQA) beyond traditional fidelity factors to emerging dimensions such as physical plausibility and text-rendering correctness. However, existing IQA models rely on fixed definitions and heavy supervision, making…
Novel view synthesis from sparse inputs remains challenging for 3D Gaussian Splatting (3DGS) due to ambiguous geometry, cross-view inconsistency, and missing details in under-constrained regions, resulting in degraded reconstruction and unstable rendering. To tackle these…