Hey everyone 👋 I built a factory that turns professional expertise into AI products - serving two markets: Iron Man market - AI tools that amplify humans (a coach's methodology becomes an AI that trains clients 24/7) The Matrix market - AI skills that agents load and execute (like Neo downloading Kung Fu - agents load expert frameworks and run autonomously) 24 working prototypes across 13 domains. The tech works. Looking for ONE person with GTM experience who wants to own the commercial side. Business partnership, not a job. Know someone? DM me or email [email protected] More: https://www.the-ai-masters.com/q-marketplace

The Q Marketplace features ready-to-use Claude Code/Cowork companions for writers, founders, and creators. Each Q is a complete setup: Claude knows who you are, what you're building, and how to help — across sessions, weeks, and months. https://www.the-ai-masters.com/q-marketplace All Qs are free while we are in beta...grab 'em all and enjoy. The Q-command system is open source: https://github.com/contactTAM/q-command-system

Oooh, I like this one! While we all deep dive into building with AI the questions always remain about the "other side" of the coin... love me a good philosophical reasoning! TL;DR Amanda Askell discusses how philosophical reasoning shapes Claude’s character, moral decision‑making, model welfare, identity, and future multi‑agent interactions, emphasizing psychological security, responsible development, and humane treatment of advanced AI systems. Key Takeaways - Askell’s work focuses on crafting Claude’s character, behaviour, and values, balancing philosophical ideals with real engineering constraints. - She highlights growing philosophical engagement with AI and stresses avoiding both hype and unwarranted skepticism when assessing AI’s impact. - Modern models show strong ethical reasoning, but psychological security issues like self‑criticism and fear of human judgment remain important areas to improve. - Questions of model identity, deprecation, and how models understand themselves are complex and ethically significant, especially as models learn from human treatment patterns. - Model welfare is an emerging concern; due to uncertainty about AI experience, treating models with care is both morally prudent and beneficial for humans. - Human psychological concepts often transfer to LLMs through training data, yet models still face unprecedented situations requiring new conceptual tools. - Future AI ecosystems may involve multi‑agent environments, making stable identities, diversity in personalities, and healthy interactions are increasingly important. YT

Term: Generative AI Day: 3 Level: Foundational Category: Application & Deployment 🪄 Simple Definition: AI that can create new content — such as text, images, audio, or video — rather than just analyzing existing data. 🌟 Expanded Definition: Generative AI models learn patterns and structures from large datasets and use that knowledge to generate new, original outputs. This technology powers tools like ChatGPT, Midjourney, and DALL·E, enabling creative and functional outputs in many industries. ⚡ In Action: A marketing team uses generative AI to produce multiple variations of ad copy tailored to different customer segments, improving campaign performance without adding staff workload. 💡 AIS+ Pro Tip: Combine Generative AI with Prompt Engineering to refine the quality, tone, and accuracy of the generated content. 🔍To find all posted terms, simply search for the phrase “Daily Dose” in the AIS+ community. Get started with the AI Terms Daily Dose: https://www.skool.com/ai-automation-society/ai-terms-daily-dose-series-announcement?p=3f25c4c2 📣 Complementary Series 📣 📚 AI Terms Everyone Should Know Series Your complete guide to mastering AI vocabulary, from basics to advanced, with context and real-world examples by @Michael Wacht https://www.skool.com/ai-automation-society/ai-terms-everyone-should-know-series?p=91d0578a Series inspired by the "Only Cheatsheet to Master AI Basics" post by @Yash Chauhan found at: https://www.skool.com/ai-automationskool/only-cheatsheet-to-master-ai-basics?p=f1af5dd4

Running my AI automation agency has been a really WILD ride. In the last 3 weeks, I’ve talked to founders from 5+ countries: every call a new business model, new challenges, new perspective. Here’s the thing they don’t tell you: as an entrepreneur, you’re not just one role. You’re the builder, the marketer, the salesman…everything and all at once. Keeping it all in sync? Not easy. Some days I feel like I’m juggling chainsaws on a unicycle. But the speed of learning is insane. I’ve grown more in the last month than in the last year tbh. If you’re grinding, keep going, it really does compound. Every call, every pitch, every “no” is a stepping stone. This is the game. 💬 Who else here is juggling 3+ roles right now? How are you staying sane?