Ai

TL;DR Notion is a flexible workspace for notes, documents, databases, and task management - extended with Notion AI as a paid add-on AI features cover document Q&A, content generation, summarisation, and a writing assistant for grammar and tone Strongest as a single home for personal knowledge, team wikis, and lightweight project management - one workspace instead of three tools The AI layer is good for in-context drafting and lookup; less suited to heavy reasoning where a dedicated LLM tool does better Pricing is per-seat for Notion plus an AI add-on; check the current tiers before committing for a team Most productivity tools force a choice: notes here, tasks there, docs somewhere else. Notion bets that a single flexible workspace - one that handles all of these - is more valuable than three best-of-breed tools that don’t talk to each other. The bet mostly holds, and the addition of Notion AI has made the knowledge layer genuinely more useful. ...

Massive Update for Auto-GPT: Code Execution! 🤖💻 Auto-GPT is now able to write it's own code using #gpt4 and execute python scripts! This allows it to recursively debug, develop and self-improve... 🤯 👇 pic.twitter.com/GEkMb1LyxV — Toran Bruce Richards (@SigGravitas) April 1, 2023 Related Reading OpenAI has released GPT-4 AI Explainers List of AI Courses & Learning Resources AI Tools & Frameworks

Fully intent on being the next Skynet, OpenAI has released GPT-4, its most robust AI to date that the company claims is even more accurate while generating language and even better at solving problems. GPT-4 is so good at its job, in fact, that it report… https://t.co/Q2btYgtWSA — GrindZero Tribe (@Snapzu_Blogs) March 16, 2023 Related Reading Auto-GPT is now able to write it’s own code AI Explainers AI Tools & Frameworks Why the ChatGPT iPhone App Mattered

TL;DR A curated set of the clearest technical explainers of foundational AI concepts - the ones that build real intuition, not just vocabulary Covers fundamentals (backprop, neural networks), transformers and language models, and generative models like diffusion Authors include Andrej Karpathy, Stephen Wolfram, and NVIDIA’s developer team - high signal, low fluff Read one piece slowly rather than skimming five - the value is in working through the maths, not collecting links Pairs well with the courses list if you want a structured path after the explainers click A curated collection of clear, technical explanations of foundational AI concepts. These resources help build intuition about how modern AI systems actually work. ...

Reading path: For the canonical stack essay, start with AI Dev Tooling. TL;DR GitHub Copilot is the AI pair programmer from GitHub - code completions, function generation, conversational assistance, and an agent mode that can plan and execute multi-file changes Works across VS Code, Visual Studio, JetBrains IDEs, Neovim, Xcode, and the GitHub.com editor Now multi-model: routes between OpenAI’s GPT-5 family, Anthropic’s Claude Sonnet and Opus, Google’s Gemini, and several open-weight options depending on the task and plan Tiered pricing: a Free tier with capped usage; Pro at $10/month; Pro+ at $39/month for heavier frontier usage; Business at $19/user/month; Enterprise at $39/user/month with org-wide controls The original mainstream AI coding assistant - now competing with Cursor, Cline, and Claude Code on agentic depth Best when your team already lives inside GitHub - the integration with Pull Requests, Issues, Actions, and the GitHub.com agent surface is the differentiator GitHub Copilot is an AI pair programmer developed by GitHub, originally launched in partnership with OpenAI. It provides code completions, suggestions, and AI-powered development assistance across multiple IDEs. ...