Within the SAME chatgpt/claude/deepseek conversation, run these prompts in this exact order: Prompt #1: Based on everything you know about me, what is the fastest way for me to make <INCOME GOAL>? Limit to 1 offer and 1 channel. Prompt #2: Who is the #1 person I should learn from to succeed? Prompt #3: Pretend you are that person. Create a simple 90-day action plan that needs <$1,000 upfront and has a 95% chance of success. List the top 3 risks.

I created this post to share one small action that has helped me move forward every single day inside the AI Advantage Summit. When I feel overwhelmed or stuck, I use this one question to reset my thinking. What is the smallest step I can take in the next sixty seconds that moves me closer to the outcome I want. Today I invite you to try it and then tell me what you did. I am learning alongside every person in this summit. We are all trying to build better systems for our lives and our work. I use AI to help me stay focused and intentional. Nothing complicated. Nothing technical. Just practical progress. Here is your action. “Act as my elite sixty second focus coach. Start by asking one high precision question that identifies the single outcome I need to advance right now. Use my answer to generate one micro action I can complete in the next sixty seconds. Make the action concrete. Make it simple. Make it impossible to overthink. After I finish the action ask for a quick check in. Use my response to refine my direction and give me the next micro step. Continue guiding me until I reach a clear win I can measure today.” How will you use it? My use for this was buying the web domain last night for my ADHD Executive Function app that I am developing.

If you are new to AI, it is easy to feel overwhelmed with new terminology. Copy everything below this line into your AI tool to create your own glossary while you’re learning! _____________________________ I am a beginner and need a clear, simple glossary of important AI and large language model (LLM) terms. Please follow these exact instructions when creating the glossary. FORMAT REQUIREMENTS: • All topic words and acronyms must be in BOLD ALL-CAPS • Definitions must be in plain text • No numbering and no bullet points • Each definition must be single-spaced • There must be two line breaks between each glossary entry • Group similar terms under logical subheadings to help beginners understand how concepts relate • The glossary must be formatted so it can be exported as a portrait PDF with 1-inch margins on all sides • Do not include decorative boxes, shaded backgrounds, icons, or graphic elements WHAT EACH GLOSSARY ENTRY MUST INCLUDE: • BOLD ALL-CAPS TERM • Plain-text beginner definition • Why the term matters (one sentence) • A simple real-world use case that shows how the term appears in everyday AI tools or AI products CONTENT REQUIREMENTS: • Include 50 core AI and LLM terms, including but not limited to: LLM, NLP, API, GPU, TOKEN, TRANSFORMER, TRAINING DATA, PARAMETER, INFERENCE, PROMPT, PROMPT ENGINEERING, FINE-TUNING, RAG, EMBEDDING, MULTIMODAL, DATASET, VECTOR DATABASE, MODEL WEIGHTS, SAFETY GUARDRAILS, CONTEXT WINDOW, TEMPERATURE, LATENCY, etc • ask the user if they would like to generate a second list of 50 after the first 50 terms is completed. • Use clear, friendly, non-technical language • Do not assume any prior knowledge • Include a short three-sentence introduction at the top explaining why a glossary is helpful for beginners PDF REQUIREMENTS: At the end of the glossary, produce text formatted cleanly so that I can export the entire document as a PDF in portrait orientation, 1-inch margins, simple black text, and double spacing between entries, with no numbering, no bullets, and no decorative elements.

We’re beyond stoked to serve so many of you on the next journey to AI confidence, effectiveness, and efficiency… You showed up for the largest AI event in history, and tomorrow we take it to the next level. This 30-day bootcamp is going to blow your mind. We’ve obsessed over every detail to make sure you walk away with real transformation — time back, clarity forward, and momentum that lasts. Between Tony and I, we’ve got over seven and a half decades in business, and when you combine that with Igor Pogany’s genius for turning complexity into action, what’s coming is truly next-level. For those who love the thrill of the last minute — this is it. The doors close tonight at midnight. If you’re ready to not just keep up but get ahead, to reclaim 15 hours a week, this is your moment. And even if this isn’t your time to join, I’m so grateful you’re here — whether in this community or our Amplifier Club — staying connected, learning, and growing together. Thanks for being so freaking awesome. I love being part of this community — let’s keep it alive, impactful, and unstoppable. But if you feel it in your heart now is the time and we can’t wait to serve you —-> JoinAiBootcamp.com

A German court delivered OpenAI its first major copyright defeat, ruling that ChatGPT infringes copyright law both when memorizing song lyrics during training and when reproducing them in outputs. The decision could reshape how AI companies operate across Europe. The announcement: The Munich Regional Court ruled Tuesday that OpenAI violated copyright law by using song lyrics to train ChatGPT without licenses and by reproducing those lyrics when users prompt the chatbot. Presiding Judge Elke Schwager ordered OpenAI to pay damages to the artists whose work was used without authorization. The case was filed in November 2024 by GEMA, Germany's music rights society representing over 100,000 composers, songwriters, and publishers, on behalf of artists behind nine German songs, including work by best-selling musician Herbert Groenemeyer. The court's ruling was explicit: "Both the memorisation in the language models and the reproduction of the song lyrics in the chatbot's outputs constitute infringements of copyright law." What the ruling establishes: → Training is infringement: Simply storing copyrighted content in AI models—even if never directly output—violates copyright law → Output is also infringement: When ChatGPT reproduces song lyrics in responses to user prompts, that constitutes separate copyright violation → Compensation is required: Artists are entitled to damages both for the memorization during training and for reproduction in outputs → Licensing framework needed: AI developers must purchase licenses and pay creators before using their work for training or output → Precedent potential: As the first copyright decision against OpenAI, this could influence how generative AI is regulated across Europe OpenAI's response: "We disagree with the ruling and are considering next steps," OpenAI said in a statement. "The decision is for a limited set of lyrics and does not impact the millions of people, businesses and developers in Germany that use our technology every day."