Artificial Intelligence

TL;DR Gemini Advanced was Google’s tier-based offering for power users at launch in early 2024 - enhanced reasoning, longer context, and multimodal input Built around Gemini Ultra at first, then succeeded by Gemini 2.0 Flash, 2.5 Pro, and the current Gemini 3 family Use cases: coding, creative collaboration, long-form multi-turn conversations, document and media analysis Available through Google One AI Premium with web, mobile, and API access; pricing has shifted as the lineup evolved Documented here as the original 2024 positioning - check Google’s current site for what “Advanced” maps to today About Note: Gemini Advanced (released early 2024) was Google’s tier-based offering. By 2026, this has evolved into a more diverse model lineup including Gemini Pro, Gemini 2.0, Gemini 2.5 Pro, and the current Gemini 3 family with different access tiers. This article reflects the original 2024 positioning. ...

TL;DR A curated index of AI courses, books, and learning platforms - organised by provider so you can compare offerings quickly Covers free starting points (Elements of AI, Fast.ai) through to paid professional certificates (Coursera, DeepLearning.AI) Includes both broad foundations (machine learning, deep learning) and specific specialisations (prompt engineering, LLM application development) Use it as a launching point - pick one course aligned to your goal and finish it before grazing across the rest Updated as new programmes appear; the structure favours longevity over hype Books Deep Learning with Python The Elements of Statistical Learning Courses Class Central Artificial Intelligence Courses ChatGPT Courses Elements of AI Midjourney Courses Coursera AI for Everyone IBM Applied AI Professional Certificate Supervised Machine Learning: Regression and Classification DataCamp AI Fundamentals Introduction to ChatGPT DeepLearning ChatGPT Prompt Engineering for Developers edX Learning From Data (Introductory Machine Learning) Elements of AI Fast.ai Future Learn Digital Skills: Artificial Intelligence Google Cloud Skills Boost Generative AI learning path Attention Mechanism Create Image Captioning Models Encoder-Decoder Architecture Generative AI Explorer - Vertex AI Introduction to Generative AI Introduction to Generative AI Studio Introduction to Image Generation Introduction to Large Language Models Introduction to Responsible AI Transformer Models and BERT Model Harvard Artificial Intelligence Courses Machine Learning Mastery Microsoft AI for Beginners Oxford AI Online Courses PyTorch Reed AI Online Courses Stanford Artificial Intelligence Graduate Certificate Artificial Intelligence Programs TensorFlow Udacity Intro to Artificial Intelligence (Free) Udemy Artificial Intelligence A-Z™: Build an AI with ChatGPT and more Artificial Intelligence (ARS): Build the Most Powerful AI Artificial Intelligence Masterclass Artificial Intelligence: Reinforcement Learning in Python The Beginner’s Guide to Artificial Intelligence (Unity 2022) Unity Artificial Intelligence for Beginners Learning Resources Google AI Build How to use ChatGPT to create an app Newsletters Lore - weekly newsletter with the latest Generative AI news, insights and featured tools X (Twitter) Accounts AI Daily - teaches about AI Borriss - developer & writer of practical AI Javi Lopez - AI educator Lex Fridman - host of Lex Fridman Podcast, research scientist at MIT Linus - AI educator & designer Steve Mills - exploring creative uses of Generative AI YouTube Channels Artificial Intelligence - All in One Connor Shorten DeepLearningAI Jeremy Howard Kaggle Lex Fridman sentdex The Artificial Intelligence Channel Two Minute Papers Yannic Kilcher YouTube Videos Excel AI - data analysis made easy Google Gemini (formerly Bard): A beginner’s guide to Google’s AI chatbot How to Build a FULL App With ChatGPT in 20 minutes! How to Use Midjourney, AI Art and ChatGPT to Create an Amazing Website Midjourney Prompt Tips for Beginners and Veterans Stable diffusion prompt tutorial Related Reading The Complete AI Developer’s Guide: Resources and Best Practices AI Conferences Worth Following AI Explainers An AI Tooling Learning Path: Logical Phases for 2026

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. ...

TL;DR A curated index of significant open-source AI projects on GitHub - the ones worth knowing about, not the entire ecosystem Covers agent frameworks (AutoGen, CrewAI, LangChain), code-focused tools (Aider, Open Interpreter), and local LLM runners (Ollama) Useful as a starting map if you’re choosing between frameworks, or want to see what the community is converging on Star counts and momentum shift quickly here - treat the list as a snapshot rather than a permanent ranking Pair with the tools list for hosted products and the explainers for foundations A collection of significant open-source AI projects that are shaping the ecosystem. ...

TL;DR Generative Fill brings text-prompted image manipulation directly into Photoshop, powered by Adobe’s Firefly model Add, remove, or extend image content by selecting an area and describing what you want - no separate tool, no leaving the canvas Sits alongside other Firefly-era features in Photoshop: adjustment presets, the contextual task bar, gradients, and a Remove tool for clean object deletion Trained on Adobe Stock and openly licensed work, which makes the output commercially safer than many general-purpose image models A clear inflection point for professional retouching - what used to take careful masking and clone-stamping is now a sentence Resources: Generative Fill documentation - Firefly overview ...

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 Related Reading OpenAI has released GPT-4 Auto-GPT is now able to write it’s own code Hitting Claude Code Limits? Here’s the Setup I’m Moving Toward Cline + Kanban: Autonomous Development Meets Project Management

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. ...

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