ChatGPT
ChatOpenAI's flagship conversational model. The reference point for most consumer-facing AI work.
Products people actually use day to day.
OpenAI's flagship conversational model. The reference point for most consumer-facing AI work.
Anthropic's assistant. Strong on long-context reasoning, code, and writing that sounds human.
Inline code completions and chat inside your editor, powered by OpenAI and other models.
A VS Code fork rebuilt around AI agents. Multi-file edits, codebase-aware chat, autonomous refactors.
High-quality text-to-image generation, particularly strong on artistic and editorial aesthetics.
Answer engine that synthesises results from the live web with cited sources. The default "look it up" for many.
Open-source hub for models, datasets and Spaces. The GitHub of open-weight AI.
Newsletters and outlets that consistently get the story right.
Largest daily AI newsletter (~1M subscribers). Quick scan of the day's biggest stories, tools and breakthroughs.
Jack Clark's (Anthropic co-founder) long-form analysis of AI research, policy and industry.
Andrew Ng's weekly digest. Research highlights, industry trends, and DeepLearning.AI course announcements.
Independent AI newsroom with strong technical coverage and a particular focus on European AI policy.
Y Combinator's tech forum. AI stories consistently dominate the front page; the comment threads are the real value.
Enterprise AI coverage: deals, product launches, regulatory shifts and executive interviews.
Courses, papers and textbooks worth your time.
Andrew Ng's course catalogue. From "AI for Everyone" to production-grade deep learning specialisations.
Practical deep learning for coders. Top-down teaching style that gets you building models quickly.
Browse ML papers by task, with linked code, datasets and SOTA leaderboards.
The raw preprint feed for AI research. Filter by cs.LG, cs.CL, cs.CV to narrow scope.
Deep technical lectures on LLMs, RL and training. The "Zero to Hero" nanoGPT series is a classic.
Free courses on transformers, RLHF, agents and diffusion. Hands-on, runnable in the browser.
Forums and chats where the actual work gets discussed.
The hub for open-weight LLM news: new model releases, quantization, fine-tuning, hardware benchmarks.
Academic-leaning ML subreddit. Paper discussions, weekly threads, AMAs with researchers.
Official user forum. High signal for prompt engineering, API quirks and feature announcements.
Active open-source community. Daily paper discussions, model release threads, help channels.