Artificial Intelligence

TL;DR AI conferences fall into three categories: research-heavy (depth and technical signal), builder and developer (workflows and tooling), and enterprise (adoption, governance, vendor comparisons) The right conference depends on what you want to leave with - one strong event matched to your goals beats three generic ones Worth keeping an eye on: World Summit AI, The AI Summit London, AI & Big Data Expo, and Data + AI Summit Before buying a ticket, check whether the audience, agenda, and location actually match your purpose - many events are content marketing with lanyards Dates and formats change year to year, so always verify details on the official event site before committing AI conferences age quickly. ...

A collection of significant open-source AI projects that are shaping the ecosystem. AI Agent Frameworks AutoGen - Microsoft’s multi-agent conversation framework for building complex AI systems with role-based agents CrewAI - Framework for orchestrating autonomous AI agents that work together as a crew Langchain - Foundational library for building applications with LLMs, offering chains, agents, and memory abstractions Open Interpreter - Let LLMs run code locally and interact with your computer Code & Development Auto-GPT - Early autonomous AI agent that can break down goals and execute them iteratively Aider - AI pair programmer that can edit code in your local repository Prompt Engineering Guide - Comprehensive guide with papers, techniques, and best practices Specialized Tools OpenClaw - AI agent framework for operating graphical user interfaces directly Ollama - Simple way to run large language models locally LiteLLM - Unified interface for calling all major LLM APIs with cost tracking Research & Resources Transformers - Hugging Face’s comprehensive library for state-of-the-art NLP models Papers with Code - Curated dataset linking papers with their implementations Related Reading GitHub Copilot Running AI Models Locally with Ollama: From Setup to OpenClaw OpenClaw Is Absolutely Wild The Complete AI Developer’s Guide: Resources and Best Practices AI Tools & Frameworks

Experience the future of Photoshop with Generative Fill https://helpx.adobe.com/ie/photoshop/using/generative-fill.html Generative AI with Firefly https://www.adobe.com/sensei/generative-ai/firefly.html Other new features & improvements Adjustment presets Contextual task bar Gradients Remove tool: easily remove any object or person from an image instantly YouTube Adobes New AI ‘FIREFLY Photoshop’ Has Everyone Stunned! This new Photoshop tool will CHANGE PHOTOGRAPHY FOREVER Related List of AI Tools Related Reading ChatGPT Images 2.0: Why Everyone Is Impressed My AI-Augmented Design Workflow: A 10-Minute Loop From Discussion to Documented Decision Claude Design: Closing the Design-to-Code Gap Taste Is the New Scarcity

We are excited to share that we have received the FDA’s approval to launch our first-in-human clinical study! This is the result of incredible work by the Neuralink team in close collaboration with the FDA and represents an important first step that will one day allow our… — Neuralink (@neuralink) May 25, 2023

TL;DR Speechify converts written content - PDFs, Word docs, web articles, and even physical text via camera - into natural-sounding audio using AI voices It supports multiple languages, adjustable playback speed, and OCR for scanned or image-based text The premium Speechify Studio tier adds AI voice cloning, professional audiobook creation, and batch processing for large documents Key use cases include accessibility for people with dyslexia or ADHD, productivity during commutes, and professional audiobook publishing Pricing starts free for basic use, with premium plans at $12-20 per month for unlimited access and higher-quality voices Speechify is a leading text-to-speech platform that converts written content into natural-sounding audio, available across web, mobile, and browser extensions. ...

TL;DR The ChatGPT iPhone app mattered not as a feature release but as the moment AI shifted from a desktop destination to an everyday mobile utility Key additions - native interface, synced history, and voice input - were modest, but they fundamentally changed when and how people reached for AI Mobile AI is intimate in a way desktop AI is not, fitting into gaps throughout the day rather than dedicated work sessions The launch signalled that ChatGPT was becoming a platform and a habit, not just a viral website or a one-off experiment It pointed toward the future that followed: voice as a primary interface, cross-device continuity, and conversational AI as persistent infrastructure When OpenAI launched the ChatGPT app for iPhone, it was easy to see it as a simple mobile companion to a popular web product. ...

Notion is a comprehensive workspace platform for note-taking, documentation, task management, and knowledge organization. Features Core Capabilities Database and content management with flexible views (table, calendar, gallery, timeline) Wiki and documentation creation Task and project management Team collaboration and permission controls Notion AI (Available as add-on) Q&A Mode: Ask questions about your content and get AI-powered answers Auto-fill: Generate content automatically based on context Summarization: Auto-summarize pages, databases, and meeting notes Content Generation: Create outlines, blog posts, and structured content Writing Assistant: Grammar checking, tone adjustment, rephrasing Use Cases Personal knowledge management and second brain Team documentation and wikis Project and product management Database and CRM systems Meeting notes and action item tracking Writer’s workspace with AI assistance Pricing Free tier: Core features with limited blocks Plus: $10/user/month with Notion AI Business: $18/user/month with advanced features Enterprise: Custom pricing Notion AI transforms the platform from a note-taking tool into a collaborative knowledge system with generative capabilities, making it valuable for both individual and team knowledge workflows. ...

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

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

A curated collection of clear, technical explanations of foundational AI concepts. These resources help build intuition about how modern AI systems actually work. Fundamentals Yes you should understand backprop - Andrej Karpathy’s definitive explanation of backpropagation, the fundamental algorithm behind neural network training Deep Learning in a Nutshell: Core Concepts - NVIDIA’s accessible overview of deep learning architectures and their applications Transformers & Language Models What is ChatGPT doing & why does it work? - Stephen Wolfram’s phenomenal breakdown of transformer architecture and the surprising effectiveness of next-token prediction Word2Vec Explained - Foundation for understanding how words become numerical representations that models can process Generative Models How Stable Diffusion Works - Detailed technical walkthrough of diffusion models for image generation, with clear diagrams and intuitive explanations Courses & Practical Learning Practical Deep Learning - Fast.ai’s top-down course that teaches you to build working deep learning systems before diving into theory Related Reading Chatbots & Large Language Models (LLMs) The Complete AI Developer’s Guide: Resources and Best Practices List of AI Courses & Learning Resources The LLM Context Window Arms Race: Does It Actually Matter? Structured Outputs: When Your AI Needs to Follow a Schema