5 emerging trends nobody is is talking about The Zahi era is just the warmup So what comes after AI 🤖 Quantum computing the silent revolution the Problem AI can’t solve Google in2023 milestone solves problems in 6 seconds whilst supercomputing would take up to 47 years to do China quantum satellite network are already transmitting unhackable messages using quantum entanglements Drugs discovery breakthrough like Psi quantum simulating molecules interacting to design cancer drugs Why this matters for you is Personalised medicines where drugs are tailored to your DNA 🧬 in hour of illness Now the game changer is here Unbreakable encryption protecting everything from banking transactions to military secrets Hyper; efficient logistics eliminating global shipping delays Can you see where we are going

Who are the key players What is ChatGPT How do l access it How do l use it Can l pay for items on ( only a matter of time) How can you create value from AI What are the barriers What can the homeowners do with AI How is it regulated Lastly The real value of AI will be it’s ability to empower humans to MAKE DECISIONS FASTER

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Today I want to talk about something many people overlook when creating daily content: using RSS feeds to pull in trending news and instantly turn it into social-ready posts. RSS feeds are like quiet data pipelines. They collect the latest updates from blogs, news sites, industry pages and send them straight into your automation workflow. Once the feed updates, tools like n8n or Make.com can grab the headline, summary or full article and pass it to OpenAI for rewriting. From there, you can generate: • Short social captions • Carousel content • TikTok/YouTube shorts scripts • LinkedIn posts • Blog summaries Everything happens automatically. No manual research. No scrolling for hours. Just a system that watches the internet for you and converts fresh news into content while you sleep. It’s perfect for niche pages, news-style accounts, educational creators or anyone who needs consistent posting without the stress. If you ever want to explore how to set up something like this or want a simple workflow to start with, feel free to reach out. I’m always happy to help.

“AI is a sparring partner,”? Let’s be honest: You only spar with equals. You don’t spar with someone who needs step-by-step instruction just to throw a competent jab. If the model needs five rounds of correction to stop producing: - generic filler - hallucinated logic - template content - tone mismatches then we’re not sparring we’re coaching an undertrained intern with infinite stamina. Iteration should refine good output. It shouldn’t have to salvage weak reasoning, missing context, and shallow pattern-matching disguised as intelligence. And blaming users like “you just need to stay in the conversation” is a convenient way to avoid admitting the obvious: If the first pass isn’t usable, that’s not a user error that’s a model limitation. People don’t expect AI to be magic. They expect it to be competent. If it can’t meet the baseline, no amount of “sparring” fixes that. You spar with equals. You babysit everything else.