Sources

Research

AI Snake Oil (Princeton)

Critical analyses of AI capabilities vs claims by Princeton researchers Arvind Narayanan and Sayash Kapoor.

Research

Alignment Forum

Technical research, mathematical formalisms, and discussions on AI safety and alignment.

Research

Andrej Karpathy

Engineering notes, neural networks, and educational deep dives.

Research

ArXiv CS.AI

Specialist source tracked by highsignal.sh.

Community

Ars Technica AI

Technical discussion. Comments are opinion, not verified reporting.

Research

Center for AI Safety

Empirical research benchmarks, safety metrics, and risk evaluations from CAIS.

Research

Chip Huyen

Machine learning systems design, post-training, and AI application engineering.

Research

Eugene Yan

Applied ML systems, LLM patterns, evals, and production architectures.

Research

Georgetown CSET

Data-driven research on AI governance, compute supply chains, and safety policy.

Research

Hamel Husain

Pragmatic, anti-hype guides to fine-tuning, evals, and shipping LLMs.

Research

IEEE Spectrum AI

Engineering and computing breakthroughs from the global IEEE engineering community.

Research

Jay Alammar

Visual and intuitive explainers for transformers, LLMs, and neural networks.

Research

Last Week in AI

Weekly curated synthesis of significant research papers, industry releases, and policy news.

Research

Latent Space

Technical newsletter and podcast covering AI engineering and agents.

Research

Lilian Weng (Lil'Log)

In-depth literature reviews on reasoning, agents, safety, and foundation models.

Research

Marcus on AI (Gary Marcus)

Skeptical analysis of generative AI limitations, reasoning failures, and neurosymbolic alternatives.

Research

Mitchell Hashimoto

Explorations in local LLM inference, Claude Code, and developer workflows.

Lab

OpenAI News

Model releases, product updates, and research.

Community

Reddit r/LocalLLaMA

Open-weight models, local inference runtimes, and quantization engineering discussions.

Community

Reddit r/MachineLearning

Community discussion, paper announcements, and practitioner debates. Requires primary corroboration.

Research

Replicate Blog

Open-source machine learning models, inference performance, and developer patterns.

Research

Sebastian Raschka

Architectural deep-dives, PyTorch implementations, and foundation model benchmarks.

Research

SemiAnalysis

Detailed teardowns of AI accelerators, semiconductor nodes, datacenter clusters, and compute costs.

Research

Simon Willison

Hands-on LLM engineering, prompt injection research, and developer tools.

Research

Synced Review

Global artificial intelligence news, technical breakthroughs, and paper reviews.

Research

The Gradient

Rigorous essays and perspectives written by AI researchers and practitioners.

Research

Tim Dettmers

Quantization research (QLoRA, bitsandbytes), GPU hardware, and memory bandwidth.

Research

Understanding AI

Timothy B. Lee's deep-dive explanations of how modern AI systems actually work.

Research

Vicki Boykis

Practical systems engineering, embeddings, and data architectures.

Research

Weaviate Blog

Vector databases, semantic retrieval, RAG architectures, and multimodal embeddings.

Research

Wired AI

Authoritative reporting on artificial intelligence, hardware, and industry shifts.

Research

fast.ai

Practical deep learning research and democratization of AI.