Allen Institute for AI (AI2) is releasing Olmo 3 as a fully open model family that exposes the entire ‘model […]
Category: New Releases
Meta AI Releases Segment Anything Model 3 (SAM 3) for Promptable Concept Segmentation in Images and Videos
How do you reliably find, segment and track every instance of any concept across large image and video collections using […]
StepFun AI Releases Step-Audio-EditX: A New Open-Source 3B LLM-Grade Audio Editing Model Excelling at Expressive and Iterative Audio Editing
How can speech editing become as direct and controllable as simply rewriting a line of text? StepFun AI has open […]
Prior Labs Releases TabPFN-2.5: The Latest Version of TabPFN that Unlocks Scale and Speed for Tabular Foundation Models
Tabular data is still where many important models run in production. Finance, healthcare, energy and industry teams work with tables […]
Google AI Releases ADK Go: A New Open-Source Toolkit Designed to Empower Go Developers to Build Powerful AI Agents
How do you build reliable AI agents that plug into your existing Go services without bolting on a separate language […]
Why Spatial Supersensing is Emerging as the Core Capability for Multimodal AI Systems?
Even strong ‘long-context’ AI models fail badly when they must track objects and counts over long, messy video streams, so […]
Moonshot AI Releases Kimi K2 Thinking: An Impressive Thinking Model that can Execute up to 200–300 Sequential Tool Calls without Human Interference
How do we design AI systems that can plan, reason, and act over long sequences of decisions without constant human […]
Google AI Introduces DS STAR: A Multi Agent Data Science System That Plans, Codes And Verifies End To End Analytics
How do you turn a vague business style question over messy folders of CSV, JSON and text into reliable Python […]
CMU Researchers Introduce PPP and UserVille To Train Proactive And Personalized LLM Agents
Most LLM agents are tuned to maximize task success. They resolve GitHub issues or answer deep research queries, but they […]
Generalist AI Introduces GEN-θ: A New Class of Embodied Foundation Models Built for Multimodal Training Directly on High-Fidelity Raw Physical Interaction
How do you build a single model that can learn physical skills from chaotic real world robot data without relying […]
