Where the signal comes from.

Official announcements, safety research, and model updates from Anthropic.

Official product updates, API ecosystem changes, and safety policy announcements from OpenAI.

Milestone research breakthroughs, paper publications, and frontier model architectures from DeepMind.

Llama ecosystem updates, FAIR research papers, and open-source infrastructure tooling from Meta.

Gemini, Google Cloud AI, and research announcements from across Google's AI teams.

On-device ML, privacy-preserving AI, and edge inference research from Apple.

Enterprise-focused LLM research, product updates, and applied NLP from Cohere.

Jack Clark's macro-level analysis of AI policy, security implications, and technical milestones.

Technical deep dives with frontier builders covering AI engineering, foundation models, and Software 3.0.

Ethan Mollick's empirical observations and practical frameworks for frontier model integration.

Andrew Ng's weekly AI news digest with enterprise relevance and research highlights.

Swyx's curated AI news digest and commentary for builders and practitioners.

High-level discussions on AI scaling, infrastructure investment, and strategy with foundation model founders.

Quarterly-style analysis of the state of AI research, deployment, and policy.

Dense long-form interviews on AI research milestones, strategy, and applied agentic systems.

MGI research on AI's economic impact, productivity, and enterprise adoption — essential boardroom reading.

Systems-level engineering perspectives on MLOps, AI infrastructure, and scale evaluations.

Hands-on technical walkthroughs, open-weight model releases, and ecosystem integration guides.

Azure AI, Copilot ecosystem updates, and enterprise AI deployment case studies from Microsoft.

GPU architecture deep-dives, inference optimisation, and AI infrastructure from NVIDIA.

Pragmatic daily logs on prompt engineering, running local LLMs, and AI-assisted software development.

WEF agenda on AI governance, global regulatory coordination, and enterprise adoption frameworks.

Practical ML deployment patterns, SageMaker updates, and enterprise AI guidance from AWS.

Applied engineering principles and design patterns for deploying LLMs into production.

Lilian Weng's comprehensive literature reviews on agentic frameworks, memory, and model architectures.

Sebastian Raschka's technical deep-dives, paper reviews, and practical LLM training methodologies.

Daily pre-prints on NLP, LLMs, and language understanding — the definitive research firehose.

Daily pre-prints covering deep learning algorithms, statistical methods, and optimisation techniques.

Nathan Lambert's insider analysis on RLHF, post-training, and open-source AI strategy.

Berkeley AI Research blog covering robotics, NLP, computer vision, and foundational ML theory.

Davis Blalock's high-density, objective summaries of the most important ML research each week.

Open-source AI research, interpretability work, and large-scale training insights from EleutherAI.

Stanford Human-Centered AI Institute: policy analysis, societal impact research, and model evaluations.

Long-form, peer-reviewed technical essays and industry perspectives from active AI researchers.

Practitioner-authored tutorials, paper walkthroughs, and applied ML engineering on Medium.

Financial Conduct Authority official news, consultations, and policy statements. Primary UK regulator for AI in financial services.

Bank of England and PRA speeches, consultations, and supervisory statements on AI and model risk.

BIS Financial Stability Institute research papers on AI, digital finance, and supervisory frameworks.

EBA guidelines, opinions, and reports on AI and model risk governance for EU financial institutions.

Narayanan & Kapoor's rigorous debunking of AI hype and limits of current model capabilities.

BIS working papers and committee reports on AI, machine learning, and supervisory frameworks for financial institutions.

ECB research on AI in financial markets, digital euro, and supervisory technology implications.

Policy analysis and tracking of EU AI Act implementation, enforcement timelines, and compliance requirements.

FSB publications on AI systemic risk, third-party dependency, and global coordination frameworks.

Monetary Authority of Singapore — APAC regulatory intelligence and AI guidelines for financial institutions.

US Office of the Comptroller of the Currency — national bank regulator, key for AI and model risk guidance.

Policy analysis and governance frameworks for AI from the Brookings Institution.

Dylan Patel's deep-dive analysis on AI hardware, semiconductor supply chains, and data centre economics.

AI adoption, vendor partnerships, and digital transformation news from the global banking technology sector.

Banking technology market intelligence, AI deployments at financial institutions, and fintech deal tracking.

Rigorous, slow-paced journalism contextualising the societal and industrial impact of AI.

Breaking news on AI policy, corporate AI deals, regulatory decisions, and market-moving announcements.

Enterprise AI deals, product launches, and market analysis with strong focus on deployment and adoption.

Technical reporting and critical analysis of AI vendor claims, copyright, and software updates.

Data engineering and modern data stack commentary with practical AI and LLM integration perspectives.

Product and growth strategy newsletter with growing AI coverage relevant to enterprise leaders.

AI startup funding, product launches, and executive interviews from the tech press.

Sceptical, technically detailed coverage of enterprise AI products, cloud AI services, and vendor claims.

Enterprise technology journalism covering AI adoption, infrastructure, and digital transformation.

Consumer and enterprise AI coverage with strong investigative reporting on Big Tech AI strategy.

In-depth features on AI policy, society, and enterprise implications from Wired.