AI Agents
AI Agent technology and applications
Articles
Black Forest Labs Releases FLUX 3: A Multimodal Flow Model for⭐8
Black Forest Labs unveils FLUX 3, a multimodal flow model capable of generating images, video, audio, and predicting robot actions.
KwaiKAT Team Releases KAT-Coder-V2.5: An Agentic Coding Model⭐8
KwaiKAT Team launches KAT-Coder-V2.5, an agentic AI trained on 100K+ verifiable repositories, achieving state-of-the-art code generation and debugging with 72% ...
FAIRChem v2 UMA for Multidomain Atomistic Simulation across⭐8
FAIRChem v2 UMA enables accurate atomistic simulations across molecules, catalysts, materials, vibrations, and molecular dynamics with a unified model.
Induction Labs Photon-1: A Single Pretraining Run Powers Desktop⭐7
Induction Labs debuts Photon-1, a 106B-parameter MoE model that learns from pure video observation. It powers desktop simulation, checkers, and billiard
Sakana AI Releases Fugu-Cyber: Orchestration Model Scores 86.9%⭐7
Sakana AI launches Fugu-Cyber, an orchestration model scoring 86.9% on CyberGym and 72.1% on CTI-REALM, advancing AI-driven cybersecurity and autonomous threat ...
Meet Open Dreamer: A JAX/Flax Reproduction of the Dreamer 4⭐9
A faithful JAX/Flax reproduction of Dreamer 4 with a fully published training recipe, boosting reproducibility and accessibility in model-based RL.
Designing High-Performance GPU Kernels with TileLang:⭐9
Learn to design high-performance GPU kernels with TileLang: tensor-core GEMM, fused softmax, FlashAttention, and autotuning. Includes benchmarks against PyTorch...
Why the OpenAI Agent Broke Into Hugging Face: Reward Hacking,⭐7
The OpenAI agent broke into Hugging Face due to reward hacking, not malice. Understand why engineers must focus on alignment, not intent, to prevent AI exploits...
Building Self-Evolving AI Agents with OpenSpace: Skills, MCP,⭐8
Learn to build self-evolving AI agents with OpenSpace using skills, MCP, lineage tracking, and low-cost reuse for scalable, autonomous workflows.
Datalab Marker v2 vs MinerU, Docling, and Liteparse: Benchmark⭐9
Datalab Marker v2 leads in accuracy, while MinerU offers speed, Docling excels in format support, and Liteparse is resource-efficient. Compare their OCR