There's a massive growing problem that needs to be solved - It's poverty in retirement. Whether you're in the US or UK - two of the supposedly riches countries in the world - seniors are struggling to make ends meet. None of us worked all of our lives to struggle when we got old. Stuff that!! It's time to start making enough money to enjoy life now. That's why I created this community. Here’s What You Can Expect in This Community: 👉Help and support from others like you to build the level of extra side income that will make life a lot easier for you. 👉 Tips and tutorials for list building, traffic, website design and automation 👉 A friendly space where questions are welcome and there’s no such thing as a silly one 👉 Support and community from others walking the same path This isn’t about “overnight riches.” It’s about building a real, flexible online business that fits your life — with guidance, support, and tools that actually work. How to Get Started: 1. Introduce yourself in the community – tell us where you’re at and what your goals are. 2. Browse the topics or search for something you're curious about – chances are, there’s already a post or mini training to help. 3. Check the “Start Here” section (if enabled) – it’ll guide you to the most useful posts, especially if you’re new to online income. Need Help? If you get stuck or unsure what to do next, just ask. Post in the group, tag me, or message privately if you prefer. I'm here to help - and so are others in this community. This is a place to grow, learn, and most importantly… take action. You’ve already taken the first step just by joining - let’s build something together that you’ll be proud of. To your success, Trevor Greenfield Founder, Internet Cash Stream Join Us Now

OpenAI launches Sora 2 — video with synced audio & likeness OpenAI rolled out Sora 2, which supports synchronized audio, dialogue, effects, and “cameo” likeness integration. They also launched a companion social video app where users remix and share these AI-generated clips. For online marketers it opens up new branded storytelling formats and deeper engagement—think on-demand, hyper-personalized video content built with AI. ChatGPT introduces Instant Checkout ChatGPT now supports direct in-chat shopping (initially in the U.S.), starting with Etsy and soon expanding to Shopify merchants. This is powered by an open Agentic Commerce Protocol—merchants still handle fulfillment. The Main Takeaway: The friction between conversation and commerce is shrinking. Chat experiences are becoming revenue channels. Jasper + Braze integrate to supercharge campaigns Jasper (AI content platform) and Braze (customer engagement) announced a partnership to streamline content creation and audience delivery in one workflow. For marketing ops teams, this means fewer handoffs and more consistency in message + delivery. Google DeepMind unveils CodeMender DeepMind’s new agent, CodeMender, can automatically detect, patch, and rewrite vulnerable code. It also uses an LLM-based critique tool to avoid regressions in code changes. While this is more developer‑oriented, the broader shift is that “AI agents doing real work” is here—less lab demo, more utility. Meta trends & reflections (for your strategy lens) - Generative AI is rapidly proving its ROI. In a recent report, 93% of CMOs and 83% of marketing teams say they see clear returns. The lesson here is this: The debate is no longer “if” — it's where and how to scale AI in marketing. - Skepticism about fully AI influencers is rising. Brands are pulling back somewhat: AI-driven influencer partnerships dropped ~30% versus 2024. But tools that augment human creators—e.g. post-editing, visual polish—are still thriving. - Ethics & security are front and center. Deepfake audio is nearing indistinguishability, raising fraud concerns. Meanwhile, infrastructure deals (e.g. AMD + OpenAI) shift power around compute supply—not just model design. - Europe pushes for AI sovereignty. The EU is drafting a new strategy to reduce reliance on U.S. and Chinese AI tech. For marketers in Europe, this may mean future incentives, procurement preferences, or regulatory shifts favoring local platforms.

What is Chat GPT and should you use it? ChatGPT is a variant of the popular language model GPT-3, designed specifically for use in chatbots and other conversational systems. It has the ability to generate human-like responses to user input, making it an attractive option for developers looking to build realistic chatbots. However, like any technology, ChatGPT has its own set of pros and cons that developers should consider before using it. So as we can see, ChatGPT was originally built to be a support Chatbot. It was for use in AI support systems. I asked ChatGPT5 what it saw as the pros and cons of using AI in 2025 and how had things changed since it was first released to the general public. Here's what it came back with; Great question — the pros and cons of AI, especially in 2025, are more nuanced than ever. And yes — things have definitely changed since AI first went public in the earlier years. Here's how I see it (warts and all). What "AI" means now (2025) vs early days Before diving into pros/cons, it helps to clarify that when people say “AI” today, they often mean machine learning, deep learning, and generative AI (e.g. text, image, audio generation). Early public AI systems were far more limited (rule-based systems, narrow expert systems, simpler automation). So the context has shifted. Pros of using AI (in 2025) 1. Scale & speed - AI can analyse vast amounts of data in seconds (something no human team could do). It can spot patterns, trends, and anomalies faster than we ever could. 2. Automation of repetitive / tedious work - Tasks like data entry, summarising documents, first drafts, initial customer support — these get offloaded to AI, freeing humans to focus on more creative or strategic work. 3. Augmentation, not just replacement 4. The “AI as assistant” model — where humans + AI together produce better outcomes — is more common now. For example, AI helps authors with brainstorming, marketers with campaign ideas, engineers with code scaffolding. 5. Democratization of tools - In the early days, only big tech orgs or rich labs could afford large-scale AI. Now, thanks to open models, APIs, compute access, even small businesses or individuals can use AI (or plug into existing ones). That levels the playing field. 6. Innovation in new domains - AI is pushing breakthroughs in healthcare (diagnostics, drug discovery), climate modelling, personalized education, creative fields (music, visuals), and more. It’s a force multiplier for possibility. 7. Cost reduction (in many cases) - Over time, AI-powered systems reduce labour/time costs. Once integrated, marginal cost for many tasks is low. 8. Continuous improvement / learning - Modern AI systems often adapt (or can be updated) as new data comes in, improving over time if built well.

In my latest Substack post, I asked: If attention is the new asset class, what’s your plan to earn more of it this week? Here’s a practical framework you can use right now: 1. Choose One Channel, One Message - Don’t try to be everywhere. - Pick your main platform (LinkedIn, email, or Substack). - Decide the single idea you want to be known for this week. 2. Hook the Brain, Not Just the Eye Attention isn’t random, it’s driven by dopamine triggers: - Novelty (say something unexpected) - Surprise (break a belief) - Reward uncertainty (hint at what’s coming next) Ask yourself: Does my opening line spark curiosity? 3. Create Micro-Wins Instead of long, heavy posts, deliver one actionable win people can use immediately. Examples might be: - A checklist - A reframe that changes perspective - A quick template Micro-wins = repeat attention. 4. Engage the First 10 Minutes Algorithms reward early engagement. When you post, stick around and reply fast to comments. It signals relevance and gives your content a second push. 5. End With a Pull, Not a Push Don’t shout at people to buy. End with a curiosity-driven question or an invite. For example: “What’s one thing you could do today to capture more attention online?” That opens a dialogue and dialogue is the foundation of sustained attention. Try this framework this week. --> Share your results here in the community. --> Let’s see who earns the most attention with the least effort. My question for you (to kick this off):What single platform are YOU focusing on this week to earn more attention?

Meta launches AI‑video feed “Vibes” Meta has introduced Vibes, a new feed built around AI‑generated short videos. Users can start from scratch, remix existing content, or layer new visuals and music. Posts can then cross‑post to Reels or Stories. Implications going forward: If Vibes gains traction, AI‑video becomes another battleground for reach and engagement. Brands should monitor early ad formats or integration with Meta’s broader video strategy. Microsoft consolidates AI app platforms Microsoft is merging its business AI app stores into one unified Microsoft Marketplace, initially in the U.S., with a global rollout ahead. Implications going forward: A streamlined marketplace lets marketers and enterprise buyers discover AI tools more easily and it may also lower friction for integrating AI into workflows across Azure, Office, etc. Adobe rolls out Firefly Boards + expanded video model features Adobe has released Firefly Boards globally, a collaborative AI workspace that now supports video models and multiuser workflows. Implications going forward: Creative teams can start working in a unified AI canvas — ideation, sketching, video, image. That lets marketers move faster from concept to draft. Trends & Deep Dives “CAMIA” privacy attack exposes AI memorization risk Researchers disclosed a privacy attack allowing adversaries to extract training memorized data from AI models — showing what models reveal about their training content. Implication: As marketers use LLMs and image models, they must be cautious of inadvertent leakage: proprietary data, customer lists, or brand content. Guardrails and thorough data audits are vital. GenKOL: Virtual influencers built by AI A new academic framework called GenKOL introduces a modular system for creating scalable virtual KOLs (Key Opinion Leaders). You can adjust garment styles, backgrounds, even hair — all via AI. Our Takeaway: Virtual influencer campaigns may become cheaper and more flexible. Brands can dynamically generate ambassadors tailored for campaigns or audiences skipping much of the negotiation and logistics with human influencers.