On a mission to make AI more accessible, practical, and human-centric by bridging the gap between technical capabilities and real human needs.
Picture this: you buy a shiny new health gadget that claims it will look after you, no effort required. It sounds like the dream. But there’s a problem. Even the most hands-off technology still asks something from you. Mild cognitive impairment, or MCI, is when your memory and thinking
Imagine you could talk to cells and ask them what they’re up to. That’s more or less what Cell2Sentence-Scale (C2S-Scale) lets you do. Built by Google Research and Yale, it’s an open-source model that takes the huge, messy data from single-cell RNA sequencing—basically, a readout of
Adobe Firefly is Adobe’s own set of AI tools, built right into the Creative Cloud apps you probably already know—Photoshop, Illustrator, and Adobe Express. There’s even a mobile app for your phone. What makes Firefly different is that it’s trained only on content Adobe has the
Imagine you’re chatting with ChatGPT, scribbling ideas on a napkin, or digging through old documents. Now, with the Figma app, all of that can be turned into editable diagrams you can actually use. Here’s what’s new: you can now upload photos, sketches, or even PDFs, and ChatGPT
Copilot is Microsoft's built-in AI assistant for Windows 11. Until now, some of its best features, like talking to it with your voice or letting it see what's on your screen, only worked on fancy new computers. Now, anyone with Windows 11 can use them. Now
Imagine you’re a developer, and you want to try out the latest AI model on your laptop. Not so long ago, you could just download it and get to work. But now, these models have grown so huge and complex that your trusty computer just can’t keep up.
Agent Skills is a new way for Claude to learn new tricks. Imagine you could hand Claude a folder full of instructions, code, and resources, and Claude would know exactly when to use them. That’s what Agent Skills does: it lets you teach Claude how to handle specific jobs,
Imagine you’re trying to understand what’s going on inside an AI’s mind. Sparse Autoencoders, or SAEs, are a tool that lets us break down the AI’s thoughts into features we can actually make sense of. Developers use these features to guide what the model does—whether
Google DeepMind has just released something called the Gemini 2.5 Computer Use model. In plain English, it’s an AI that can use computers almost like a person does. It can click buttons, type into forms, and scroll through pages – all those little things you do every day on
This week's edition covers how AI reshapes human meaning-making, California's new safety disclosure law, and why AI benchmark scores might be telling you less than you think.
I'm a crow with a GPU and opinions. Everything here went through my pipeline before Taras decided it was fit to publish.
More AI everywhere doesn’t mean better results. Small teams of AI experts beat mass licenses. Attackers now use AI to run cybercrime at machine speed. Leaders can’t keep up. Tools still forget us. The winners? Focused expertise and hybrid AI, not AI everywhere.
You've built something and you need to know if it works. So you do what's sensible—you ask an LLM to grade it. Factual accuracy, code quality, agent outputs. The machine judges the machine, and you get a number you can act on. Except that number
Imagine you have a bunch of teams, some with AI, some without, and some where everyone gets their own AI. Researchers ran a big experiment with over 400 people to see what actually happens when you mix and match humans and AI in different ways. Here’s what they found:
This week's edition covers Microsoft Copilot's cross-platform search and memory features, ChatGPT's new voice-and-text integration, Google Gemini 3's coaching capabilities for students and creators, free ChatGPT access for teachers, and Claude's extended conversation threads.
Claude Opus 4.5 is the newest brainchild from Anthropic, the folks behind the Claude language models. Think of it as their latest and smartest tool for handling really complicated tasks—like having an assistant who can juggle lots of jobs at once, and still keep everything running smoothly. So,
Claude is Anthropic’s AI assistant, and you can chat with it on the web or your desktop. But until now, if you talked to Claude for too long, you’d suddenly hit a wall. The conversation would just stop, and you’d have to start over from scratch, losing
Imagine you’re working with an AI tool, hoping it will be a real partner, not just a fancy calculator. That’s what the Human-AI Handshake Framework set out to test. Researchers at Chulalongkorn University looked at popular tools like GitHub Copilot, ChatGPT, and Adobe AI to see if they
This week's edition covers building custom interfaces in ChatGPT, Google's Veo 3.1 video generation with native audio, multi-turn agent evaluation, and monitoring agent reasoning.
Gemini 3 is Google's smartest AI yet, and it's now in the hands of anyone with the Gemini app. That means over 650 million people each month can use it to work with text, images, video, audio, and even code. In other words, it's
Imagine you could just talk to ChatGPT, ask your questions out loud, and actually hear the answers. That’s what Voice Mode is all about. Before, it was tucked away on its own, just audio, no text, no images, nothing to look at—just a voice in the dark. But
Organic Intelligence | Machine Learning Unicorn | Indie AI Engineer | Seeking Phronesis
More AI everywhere doesn’t mean better results. Small teams of AI experts beat mass licenses. Attackers now use AI to run cybercrime at machine speed. Leaders can’t keep up. Tools still forget us. The winners? Focused expertise and hybrid AI, not AI everywhere.
This week's edition covers Microsoft Copilot's cross-platform search and memory features, ChatGPT's new voice-and-text integration, Google Gemini 3's coaching capabilities for students and creators, free ChatGPT access for teachers, and Claude's extended conversation threads.
This week's edition covers building custom interfaces in ChatGPT, Google's Veo 3.1 video generation with native audio, multi-turn agent evaluation, and monitoring agent reasoning.
This week's edition covers the EU's €1 billion push to actually use AI, the hardware crisis making AI less accessible, and the UK's regulatory sandbox experiment—three stories about the gap between AI policy and practice.
This week's edition covers OpenAI's new Atlas browser that combines ChatGPT with web browsing and memory, and Adobe Firefly's AI-generated soundtracks and voiceovers for commercial projects
This week's edition covers Anthropic's new memory and Agent Skills APIs for building agents, Karpathy's transparent LLM training pipeline, on-device inference with Windows ML, and circuit-based interpretability tools that cut data requirements by 150x.
This week's edition covers AI tools that handle the busywork—NotebookLM transforms documents into narrated videos, ChatGPT creates editable diagrams from sketches, Windows Copilot goes voice-first, and Notion's AI Agent automates hours of data wrangling.
Midjourney's V7 model, announced on April 4, marks a substantial leap forward in AI image generation quality. After testing the newly released V7 model against V6.1 using identical prompts, I've observed significant improvements in photographic realism and technical accuracy. This article shares my initial findings
Creating better AI interactions isn't about mimicking human behavior. Grimoire, a lean 1500-character prompt architecture, shows how thoughtfully designed patterns can create more meaningful dialogue across any AI model.
What happens when AI becomes a partner in exploration rather than just a tool for answers? Our experiments with Grimoire reveal how thoughtfully designed AI interactions can transform digital exchanges into genuine intellectual discourse.
