When I was a child, my parents took my two siblings and me on a winter holiday to Windischgarsten. Windischgarsten is a historic market town in Upper Austria. Because its new image generation is insane, I asked ChatGPT to generate an image of Windischgarsten in winter for me. This is what I got. And it's good. Almost scarily good. But then also just not quite right. Google, Gemini, Claude and co also couldn't help me find the author who was reading one of the nights during the holidays from his Styrian poem book. I remember us kids being a bit bored and making faces at each other. And I remember looking at my dad. Light from candles on his face, listening to the man with tears in his eyes. I only understood that he was touched by whatever this man was saying. Years later, my dad found the poem book he bought that night in a box in his basement. It was at the time when he renovated the house to move in with my lovely stepmum. It was a time when we had grown up. We all got busy. But when my dad pulled out the book that year on Christmas— When he read the Christmas poem that man (I think he was called Wendl) had written— Talking about the presents he couldn't find under the tree, The Christmas tree's candles helping him see better in petroleum light, His busy mother burning milk, Being with his grandma and parents in church at midnight, And honoring his humble roots in a way so beautiful I wish I had the words to make you understand— Our family was closer together than ever. Nostalgia is that bittersweet longing for the past a warm ache for moments, people, places, or feelings that once were. It's not quite happiness and not quite sadness. It's both at the same time. Remembering the beauty. Feeling the love. Grieving that you can't have it back. This Christmas, I feel a lot of nostalgia. When I think about baby Danny. About the mastermind I closed. About days before AI. I had a coaching call the other day. We uncovered a belief that helping others is more valuable than doing something for yourself.

I’m Lara, co-creator of the AI in Coaching Certification with @Evelyn Weiss and I’m delighted to be here for the live creation and development of this community as a proof of concept for the future of growth. I’ve been coaching for over 30 years and training and educating coaches for over 20 years and I love the gentle power coaching has to truly transform lives. I’ll be completing all the activities from the Big Weekend alongside you all over the coming weeks when I return from break and am excited to share my experiences with you all. For those of you in our Ai in Coaching Certification I’ll also be helping you to structure your coaching sessions and offers if you decide to add a 1:1 or group coaching offer to the tiers in your plans. That way, you’ll be able to confidently deliver every time. Lovely to see all your familiar faces and to develop alongside you all 🥰 Photo of me (at the back) and my dear friend Fiona who is over visiting us from the U.K. (where I lived for 20 years)

Master artificial intelligence terminology with this free interactive flashcard game—perfect for coaches, educators, and anyone getting started with AI. Confused by AI jargon? You're not alone. Large language models. Transformers. RLHF. Prompt injection. RAG. If you've ever felt lost in a sea of AI terminology, this tool is for you. I created the AI Glossary Flashcards—a free, interactive learning tool featuring 160+ essential AI terms explained in plain English. No PhD required. Check it out here: https://claude.ai/public/artifacts/686d57a6-45e8-42c4-8828-a99b90a4575d Whether you're a coach integrating AI into your practice, an educator teaching AI concepts, or simply someone who wants to understand what all the AI hype is actually about, these flashcards will help you build real AI fluency. What's Included 🧠 The flashcard game covers 12 categories of AI knowledge: - Foundational AI Concepts – AI, machine learning, deep learning, neural networks, LLMs, and more - Model Architecture – Attention mechanisms, embeddings, tokens, and how AI actually works - Training & Optimization – How AI learns: supervised learning, RLHF, fine-tuning, Constitutional AI - Model Behavior – Emergent abilities, hallucinations, context windows, chain-of-thought reasoning - Prompting & Interaction – Prompt engineering, system prompts, temperature and prompt injection - Safety & Alignment – AI safety, red teaming, guardrails, bias, and the Waluigi effect - Data & Knowledge – Training data, RAG, semantic search, benchmarks, and knowledge cutoffs - Deployment & Infrastructure – APIs, latency, edge vs. cloud deployment, Hugging Face - Economic & Business – Token pricing, compute costs, ROI, vendor lock-in - Specialized Applications – Chatbots, AI agents, code generation, image generation, and more - Advanced Concepts – Multimodal models, tool use, reasoning, explainable AI - Community & Culture – Open source vs. closed source, AI ethics, SOTA