Directory List of AI - Artificial Intelligence Forums and Blogs

Top AI Blogs & Publications

• OpenAI Blog: Updates on GPT models, research, safety, and policy.

• Google AI Blog: Research in ML, NLP, vision, and ethics.

• Towards Data Science (Medium): Broad coverage of data science, ML, and AI for practitioners.

• KDnuggets: Data science, ML, and AI news, tutorials, and jobs.

• Analytics Vidhya: Focus on data science, ML, and AI for learning and careers.

• Hugging Face Blog: Open-source AI, NLP, and model releases.

• MIT Technology Review: AI sections covering innovation, ethics, and trends.

• Machine Learning Mastery: Practical ML tutorials and techniques. 

Key Research & Technical Blogs

• BAIR Blog (Berkeley AI Research): University research updates.

• DeepMind Blog: Google DeepMind's AI breakthroughs.

• Distill: Visually intuitive explanations of complex ML research.

• Andrej Karpathy: Deep learning, neural networks, and AI system design.

• Chip Huyen: Production ML and scaling AI.

• Sebastian Ruder: NLP, multilingual AI, and research summaries. 

Forums & Community Platforms

• Reddit (r/artificial, r/MachineLearning): Discussions, news, and Q&A from the community.

• Hacker News (Y Combinator): Popular tech forum with active AI discussions.

• LessWrong / AI Alignment Forum: Focus on AI safety, alignment, and long-term impact.

• Hugging Face Community: Discussions around open-source models and tools. 

Company & Startup Blogs

• Anthropic: AI safety and Claude model updates.

• NVIDIA Blog: AI hardware, GPUs, and deep learning.

• Meta AI: Research and open-source AI initiatives.

• AWS Machine Learning Blog: Cloud AI/ML services and applications. 

• [Hugging Face Community](https://hugging face.co/posts): Often called the "GitHub of Machine Learning," this is the best place for open-source model discussion and fine-tuning tips.

• OpenAI Developer Forum: A highly active community for troubleshooting API issues, prompt engineering, and building custom GPTs.

• Towards Data Science (Medium): A massive collection of user-submitted tutorials ranging from beginner Python scripts to advanced neural network architecture.

• Kaggle: Known for data science competitions, it also hosts extensive forums and notebooks (kernels) where experts share their winning strategies.

• Machine Learning Mastery: Excellent for beginners who want step-by-step, math-light guides to ML concepts.

Forums & Social Discussion

For unvarnished opinions, leaks, and real-time news, these forums are the "town squares" of the AI world.

• r/MachineLearning: The industry standard for technical discussion.

• r/ArtificialIntelligence: A broader community suited for news, ethics, and general AI impact discussions.

• Hacker News (Y Combinator): While not AI-exclusive, nearly every major AI breakthrough is debated here by senior engineers and founders.

• LocalLLaMA (Reddit): The best niche forum for people running open-source models (like Llama 3) on their own hardware.

 Industry News & Aggregators

• The Decoder: Excellent for quick, digestible summaries of major research papers and business moves.

• MIT Technology Review (AI Section): Provides high-level journalistic context on how AI affects society and politics.

• Ben’s Bites / TLDR AI: Popular daily newsletters that curate the top 5–10 links so you don't have to scroll through forums yourself.

DigitalOcean Community

Practical, hands-on AI tutorials and real-world implementation guidance

Developers, DevOps engineers, AI builders (beginner to advanced)

MarkTechPost

Fast-moving AI research news and technical model breakdowns

AI engineers, researchers, and technical professionals

Towards AI

Learning AI concepts, continuing AI professional knowledge, and engaging with community

AI enthusiasts, early-career practitioners, self-learners

Holistic AI

AI governance, ethics, risk management, and regulation

Policy leaders, compliance teams, responsible AI practitioners

Analytics Vidhya

Building practical data science and AI skills from the ground up

Students, career switchers, early- to mid-level practitioners

Machine Learning Mastery

Step-by-step learning of ML fundamentals and techniques

Beginners to intermediate ML learners who prefer structured guidance

Anthropic’s Claude Blog

Claude best practices, AI research, and AI safety

Developers building with Claude, product teams, and technical implementers

FastML

Managed by: Zygmunt Zając

FastML tackles interesting topics in machine learning with entertaining, easy to consume posts. It’s run by economist Zygmunt Zając, and is a go-to ML platform, tackling topics like overfitting, pointer networks, and chatbots, among others. If you’re frustrated by some of the existing ML papers that feel like you need a PhD in math to understand them, bookmark this blog.

AI Trends

Managed by: Cambridge Innovation Institute

This media channel delivers comprehensive coverage of the latest AI-related technology and business news. It’s designed to keep executives ahead of the curve with artificial intelligence and machine learning. AI Trends features interviews with and thought leadership pieces from top business leaders, as well as in-depth articles on the business of AI.

AWS Machine Learning Blog

Amazon is heavily involved in ML, using algorithms in nearly all areas of its business to create leads. Algorithms suggest relevant products for customers in search results, recommend products based on recent purchases, and optimize faster product distribution and shipping from warehouses to customers. The blog features projects and guides that reveal industry strides to readers and covers ML uses in Amazon Web Services technology.

Apple Machine Learning Journal

Apple’s advancements in voice recognition, predictive text, and autocorrect leveraged for Siri signal some of its machine learning work. And their newest iPhone features ML predominantly in its processor, performing trillions of operations per second; it’s ML in your hands. Apple Machine Learning Journal is a helpful look at how ML shapes their different technologies, and Apple engineers give perspective on how their work influences the transformation of ML.

AI at Google

Related links: Google AI Research Blog and Google AI Technology Blog

Google helped revolutionize machine learning, so to see their level of ML research isn’t surprising. Machine learning and AI critically support how Google technology works—from their search algorithms that redefined web searches, to Google Maps influencing how we navigate destinations, and now their self-driving car is changing the auto industry. Google makes its work available through posts discussing their published research and how its technology is used by others to influence AI innovation.