Загрузка видео...

Не удалось загрузить видео

На главную

Introducing Co-Reader: Knowledge on Tap For too long, "AI in reading" has meant 31 flavors of summarization. Today, we're thrilled to introduce a new feature that feels both intuitive and essential. Co-Reader anticipates questions as you read, offering instant answers and deeper context without interrupting your flow. The magic...

58,721 просмотров • 1 год назад •via X (Twitter)

Комментарии: 10

Фото профиля FRANK E ELKINS
FRANK E ELKINS2 лет назад

Confused about AI? Get clarity today with Book VI - "The Rational Being!" Understand the benefits & risks, empower your future now by learning what AI really is and how it really works! Also check out the Free Weekly Newsletter "How Things Work: A Brief History of Reality"

Фото профиля Jay
Jay1 год назад

Basically you are killing curiosity in humans, awesome. Eventually people forgot to ask questions and just keep reading questions what AI throws to their face. Nice job.

Фото профиля Matter
Matter1 год назад

Basically.

Фото профиля tommy
tommy1 год назад

Love this; less app-switching, more learning ♥

Фото профиля Matter
Matter1 год назад

Small amounts of friction (like switching apps) end up completely shutting down micro-behaviors (like looking up things you're mildly curious about).

Фото профиля Diwaker 🟧
Diwaker 🟧1 год назад

neat! wen android tho?? 🥺

Фото профиля JD | xRubicon
JD | xRubicon1 год назад

😱 just tried it amaz balls especially for helping my little brain understand agentic ai white papers

Фото профиля EYC
EYC1 год назад

@danshipper Think you might be interested in looking through this!

Фото профиля Niv Oppenhaim
Niv Oppenhaim1 год назад

love this

Фото профиля Matter
Matter1 год назад

Thanks Niv, appreciate it!

Похожие видео

Be Smart as Karpathy Andrej Karpathy with Teamily AI 🧠 Your Personal Knowledge Base: ✅ Built in One Chat. 📈 Compounded via Conversations. Karpathy’s insight is spot on ( It attracts 10 million views in a few days. The idea is simple: AI should build personal knowledge from everything you feed it, so it stops rediscovering things from scratch like a Retrieval-Augmented Generation (RAG). But here’s the reality — most people aren’t Stanford PhD-level geeks like Karpathy. For the rest of us, operating a hacky collection of scripts and tools (Obsidian Web Clipper, Marp, Dataview, etc.) as seen in Karpathy’s idea file is far too complex ( The Internet needs an intuitive product where a personal knowledge base is a persistent, compounding artifact — one that grows alongside the content you consume, the contexts you inhabit, and the questions you ask. Teamily AI ( is the answer. The conversation IS the knowledge base. It’s an AI-native messenger where AI teammates join your chats. They remember your past discussions, your preferences, and your team’s context — getting smarter the more you talk. No setup. No complicated workflows. Just text as you normally do. Whether you’re saving articles and videos, brainstorming at work, or collaborating with colleagues, your AI teammates are right there. They listen, remember, and help — not from scratch every time, but by building a personal knowledge graph of everything you’re involved in. In essence, your knowledge compounds automatically. ✨ The user experience is effortless. Whenever you need a well-organized view of your data, just ask the "Personal AI" at the top of the Teamily window: "Visualize my personal knowledge base" Want to customize the style or indexes? Just chat with it. You define how you manage your knowledge. Our co-founder Aiden has prepared a short video to show you just how easy it is. 📽️

Teamily AI

15,745 просмотров • 6 месяцев назад