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👋 Welcome!
Hi everyone, I’m Rachel :) I’m a doctor and entrepreneur by background, now working in health leadership and innovation, and like many of you… I’ve spent many years hearing about AI everywhere and felt lost in the hype, anxious about the future and overwhelmed with the constant information. This is where this space came from. I’ve partnered with Bassam (AI expert, builder with PhD in machine learning, and the person who actually understands the deep layers of this technology 😄) to create something simple: 👉 A place to understand AI without the hype 👉 A place to ask questions and get real answers from real humans 👉 A place to figure out how this actually applies to your work 👉 And a place to start using it in a way that genuinely helps A lot of what’s out there is either very technical or very abstract and not useful. This space sits in the middle. It’s especially relevant for people working in healthcare, public services, or complex organisations - but if you work anywhere that feels a bit busy, layered, or inefficient, you’ll recognise a lot of what we talk about here. At its core we will help you use AI to reduce unnecessary work, so more of your time and energy go where it actually matters. A quick ask from you🙏🏼 Drop a comment below and tell us: 1️⃣ What do you do? 2️⃣ What’s one thing about AI that confuses or worries you? 3️⃣ What are you hoping to get out of this course? We’ll be in here with you along the way, answering questions, sharing ideas, and supporting each other. Now go ahead and say hello! We would love to hear from you! — Rachel & Bassam
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Course Access!
🙏🏼 As a thank you to all of you who’ve joined We’ve given you free access as founding members of “AI for professionals who don’t work in tech”, because we trust your judgement and want to build this properly. Just click on the tab titled classroom and you’re ready to go! This is very much an early version, and your feedback will shape what this becomes. Please let us know what makes sense, what doesn’t, what’s missing as all of it is helpful. Access is temporary for now while we refine things. Really glad you’re here ☺️
☕ AI Monday Brief | Monday 10 August
Good evening 👋 A late Brief but an interesting one nevertheless. Here is one AI story worth knowing about. Today, Meta released a new AI model alongside a renewed push from Mark Zuckerberg for open-source AI. 🔓 it wants powerful AI to be something you can own rather than just access. Here’s what this means: Most of us currently use AI by visiting someone else’s platform: 🤖 ChatGPT ✨ Gemini 🧠 Claude The company owns the model. It runs on their infrastructure. They decide what changes, what it costs and what you can do with it. Open models change that equation. They can potentially be downloaded, adapted and run by organisations (sometimes even directly on their own devices or infrastructure). 💡 Why this matters? We’re spending a lot of time debating which AI is best. The more important question though is: Who controls the AI you’re using? Imagine an NHS organisation running an excellent AI model inside its own environment, connected to its own systems, adapted to its own workflows, without sending everything to an external chatbot. Or imagine a small company building its own specialist AI without paying one provider every time somebody asks it a question. Eventually, you may even have capable AI running locally on your laptop or phone. This means anyone or any geoup can potentially own and shape the intelligence your organisation depends on. 👀 Should you care? I think that’s a yes as we may be heading towards two competing versions of AI: 🔒 AI as a service Powerful models owned and operated by a small number of companies. 🔓 AI as infrastructure Models organisations can run, customise and build into their own systems. It makes you wonder if in ten years, organisations will continue to subscribe to intelligence … or will intelligence become part of their infrastructure? I suspect we’ll end up with both. But the distinction could become as important as the difference between renting software from the cloud and owning the systems your organisation runs on.
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☕ AI Monday Brief | Monday 20 July
Good morning! 👋 Welcome to this week’s AI Monday Brief! Here’s an AI story that’s worth your attention. 🏛️ The biggest AI companies are now asking governments to regulate AI. For years, the AI industry has been racing to build bigger and more powerful models as quickly as possible. But over the past few weeks, leaders from OpenAI, Google DeepMind and Anthropic have all publicly backed the idea of stronger regulation for the most powerful AI systems. (Axios) 💡 Why this matters This feels like a turning point. The conversation is moving from: “How quickly can we build better AI?” To: “How do we build AI safely and responsibly?” The very companies leading the AI race are calling for clearer rules. Is it a sign that AI is moving from an exciting new technology into something governments, healthcare systems and businesses will increasingly need to govern?? 🤷🏽‍♀️ 👀 Should you care? ✅ Yes. Especially if you work in healthcare, education, finance or the public sector. Over the next few years, understanding AI governance may become just as important as understanding AI itself. 💬 Question of the week If AI starts influencing more decisions in our workplaces…What would you want humans to always remain responsible for? 👇 I’d love to hear your thoughts.
☕ AI Monday Brief | Monday 20 July
🧠 Thursday AI Fact
ChatGPT became the fastest-growing consumer application in history.🧠 It reached 100 million monthly users in around two months after launch (2022). Let’s compare it to other applications: 🎵 Spotify took years. 📸 Instagram took over two years. 🎬 Netflix took more than ten years to reach similar scale. 💡 Whether you love AI or hate it, its adoption has been one of the fastest technology shifts we’ve ever seen. The interesting question now is ❓“How will we choose to use it?”
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