Foundation Models
Pretraining, architectures, scaling behavior, data, and representation learning.
Discover high-quality research blogs with broad technical insight across AI research and engineering. Follow the latest academic and industry thinking through curated, source-linked reading.
Transform your research insights into accessible knowledge. Share discoveries, methodologies, and breakthroughs that advance scientific understanding and inspire future researchers.
A dedicated platform for researchers to publish, discover, and collaborate on cutting-edge research. Built by researchers, for researchers, with advanced tools for knowledge sharing and discovery.
Empowering researchers with tools for academic writing, peer collaboration, and knowledge dissemination. Join a community of scholars advancing human knowledge through open, accessible research communication.
Selected reading
Technically substantive writing selected for clarity, specificity, and lasting research value.
Taxonomy
A compact research taxonomy spanning models, systems, evaluation, and scientific practice.
Pretraining, architectures, scaling behavior, data, and representation learning.
Reasoning, instruction tuning, multimodal language models, and evaluation.
Vision-language systems, perception, grounding, video, and embodied understanding.
Diffusion, image and video synthesis, controllability, and generative evaluation.
Learned simulators, dynamics, planning representations, and spatial reasoning.
Tool use, memory, orchestration, computer use, autonomy, and agent evaluation.
Optimization, inference, training systems, compression, kernels, and hardware.
Safety, alignment, interpretability, robustness, auditing, and governance.
Evaluation methodology, scientific process, research taste, and field-building.
Research voices
Researchers and technical writers represented by multiple high-signal pieces in the index.
Selection protocol
Every indexed piece should help a technical reader understand a mechanism, method, system behavior, or research lesson.
Teaches more than the announcement or abstract alone.
Provides enough evidence and detail to support technical judgment.
Remains useful after the immediate release cycle has passed.
Open index
Submit rigorous technical writing with a short note explaining its research value.