Resources

Newsletters

Staying up-to-date with AI developments through newsletters is a great way to get curated news and deep dives directly to your inbox.

• TLDR AI: A concise newsletter covering AI and tech headlines. Great for busy professionals who want bite-sized summaries.

• Ben's Bites: An AI-focused newsletter that includes industry trends, new tools, and insightful commentary.

• The Rundown AI: Comprehensive coverage of the latest AI developments, with a strong focus on unexpected industry impacts.

• AlphaSignal: A valuable resource for discovering up-to-date AI news, research, and technical breakthroughs.

Podcasts

Podcasts are excellent for passive learning—whether you’re commuting or exercising, these shows will keep you in the loop.

• Lex Fridman Podcast: A long-form podcast where Lex Fridman interviews thought leaders in AI and other scientific disciplines. Great for deep insights and philosophical discussions on AI.

• The AI Breakdown: This podcast provides daily breakdowns of AI news, which is ideal for staying current with the fast pace of the industry.

People to Follow

These leaders are shaping the future of AI, and following them can give you insights into emerging trends and industry direction.

• Sam Altman (CEO, OpenAI) Leading figure in AI development. His tweets and posts are insightful regarding the future of AI and AGI.

• Demis Hassabis (CEO, DeepMind) A pioneer in AI and machine learning, known for breakthroughs in neural networks and AGI research.

• Mira Murati (CTO, OpenAI) Involved in shaping OpenAI’s technical strategy, particularly around large language models.

• Yann LeCun (Chief AI Scientist, Meta) LeCun is a prominent voice in machine learning and a co-creator of convolutional neural networks.

• Fei-Fei Li (Professor, Stanford University) Known for her groundbreaking work in computer vision, AI ethics, and human-centered AI.

• Andrew Ng (Founder, Coursera; AI Expert) A key influencer in AI education and democratization, making AI accessible through courses and thought leadership.

• Andrej Karpathy (Former Director of AI, Tesla) Specializes in deep learning and AI systems for real-world applications like self-driving cars.

• Jensen Huang (CEO, NVIDIA) Driving force behind AI hardware advancements, particularly GPUs for AI/ML training.

• Ilya Sutskever (Co-Founder, OpenAI) A leader in neural networks and one of the minds behind GPT models.

• Dario Amodei (CEO, Anthropic) Known for his work on AI alignment and safety, key issues in AI governance.

• Aravind Srinivas (Founder, Perplexity AI) Leading innovative approaches in generative AI and language models.

• Mustafa Suleyman (Co-Founder, DeepMind & Inflection AI) Key voice in ethical AI and AI systems' real-world applications.

YouTubers

For those who learn visually, these channels provide engaging AI content through tutorials, discussions, and reviews.

• Matt Wolfe: AI-focused channel with a variety of content covering AI tools, industry news, and project demos.

• Marques Brownlee: While primarily tech-focused, Brownlee frequently covers AI advancements and how they intersect with consumer tech.

• Two Minute Papers: A fantastic resource for bite-sized research paper summaries. Easy to follow and excellent for staying updated on AI breakthroughs.

Design Guides

For AI product designers, these resources offer foundational knowledge on how to design responsible, human-centered AI products.

• Google PAIR Guidebook: Google's People + AI Research guidebook provides tools and frameworks for designing human-centered AI systems.

• Catalogue of Patterns: A speculative design resource exploring AI’s potential impact on future devices, focusing on ethics and human-centered design.

• Shape of AI: A resource dedicated to mapping the design patterns, workflows, and challenges of building AI-powered products.

AI Tools & Platforms

Explore some hands-on tools that can be used for learning, prototyping, and building AI-powered products.

• OpenAI Playground: A sandbox environment for exploring OpenAI models and testing generative AI use cases.

• Runway ML: A platform for creating and experimenting with AI models, especially helpful for designers looking to create with AI.

• Hugging Face: A central hub for state-of-the-art NLP models and datasets, allowing students to explore AI in practice.

AI Ethics & Governance

Given the growing concerns around AI’s impact, resources on AI ethics can help design responsibly.

• AI Ethics - Learn from IBM: Focuses on creating trustworthy, transparent, and fair AI systems that align with human values, ensuring responsible development and societal impact.

• Partnership on AI: A global consortium working on AI ethics, safety, and transparency, offering a variety of whitepapers and guides.

• AI Ethics Guidelines Global Inventory: A collection of AI ethics guidelines from organizations worldwide, useful for understanding the diverse perspectives on ethical AI.