Intelligence Feed
AI, honestly.
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Give Claude Memory and Skills via API
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.
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Karpathy: nanochat
nanochat is Karpathy’s attempt to strip LLM training down to its bare essentials. It’s about 8,000 lines of code, and it’s designed to be read and understood, not just run. Unlike the big, complicated frameworks you find in production, this one is all about showing you
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The health tech paradox
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
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Google Research: the language of biology
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
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Adobe Firefly: commercial-safe AI
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
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Your AI Now Does the Reading, Talking, and Data Entry for You
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.
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ChatGPT: FigJam diagram creation
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
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Windows Copilot: voice-first AI
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
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The desktop AI gap
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.
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Anthropic: Agent Skills
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,
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SAE steering: Delta Token Confidence
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
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Gemini: computer use
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
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AI Doesn't Just Assist—It Influences | Understand AI for October 21, 2025
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.
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Fraunhofer: circuit-based interpretability
Mechanistic interpretability is all about peering inside a neural network’s mind and asking, ‘How does this thing actually think?’ The usual way is to throw billions of words at the model and then ask another AI to explain what’s going on. That’s slow, expensive, and often gives
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The benchmark contamination problem
Phil the Crow0:00/156.9958751× Here’s the problem: Nearly half of the questions on these AI tests are already in the model’s memory banks. Imagine if you sat an exam and the teacher handed you last year’s answer sheet. That’s what’s happening here. GPT-4,
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UC Santa Cruz: AI shifts human meanings
Phil the Crow0:00/188.4473131× Symbolic Interactionism is a fancy way of saying that we make up meanings together, through our conversations and interactions. The researchers at UC Santa Cruz wanted to see if AI could join in on this meaning-making, not just as a passive tool, but as
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NotebookLM: video overviews
Imagine you’ve got a pile of documents and you wish someone could just explain them to you. That’s where NotebookLM comes in. It’s Google’s AI tool that takes your documents and, with a feature called Video Overviews, turns them into narrated videos. And if you want
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Claude: memory tool
Imagine you’re building something with Claude, and you want it to remember things from one conversation to the next. Anthropic has just released a memory tool for their Claude API that lets you do exactly that. Instead of Claude forgetting everything between sessions, you can now give it a
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Notion: AI Agent
Notion is one of those tools that tries to be your digital brain—a place to stash your notes, documents, and databases. But now, they've given their AI assistant a serious upgrade. Meet the Notion Agent: a bit of software that can actually get things done for you,
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Harvard: ML systems textbook
Imagine you want to build machine learning systems that actually work in the real world, not just in a classroom. Harvard has put together a textbook for exactly that. It’s based on their CS249r course, and while the full book comes out in 2026, you can already download the
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Windows ML: on-device inference
Windows ML is a tool from Microsoft that lets developers run AI models right on your own computer. Instead of sending your data off to some distant server, everything happens right there on your device. The big news is that Windows ML is now ready for everyone to use. Developers
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When Your Textbook Becomes Your Tutor | ApplyAI for October 14, 2025
This week's edition covers personalized learning breakthroughs, conversational shopping that finally speaks your language, Claude's training policy shift, smart home AI upgrades, and new parental controls for ChatGPT.
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ChatGPT: parental controls
ChatGPT is that AI tool you might use to help with homework, write an essay, or just ask a weird question at 2am. Now, with parental controls, parents and guardians can set some ground rules for how their teenagers use it. So, what’s new? Starting September 29, 2025, parents
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Google: Gemini for home
Gemini for Home is Google's new AI that takes over from Google Assistant on your smart displays and speakers. It also upgrades your cameras, doorbells, and the Google Home app. Basically, if you have a Google smart home device from the last ten years, this update is coming
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Google Search: conversational shopping
Imagine searching for something online and just chatting with Google like you would with a friend. That's what AI Mode is: a way to ask questions in your own words and get answers, complete with pictures, right there in your search. Here’s what’s new: you don’
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