We just had the privilege of letting our partners over at Feeding America know that we will have another 2,000,000 meals ready to send their way in November. We just donated 1,400,000 meals in October and they just informed us that in the last few years we are now at 14,173,890 MILLION MEALS DONATED! It wouldn't be possible without all of you! 😃

You know who should be using AI right now, today, immediately? The person who says: "I'm too busy to learn AI right now." Because that's EXACTLY why you need it. Let me explain the trap you're in: The Busy Trap: → You're drowning in tasks→ Every minute is spoken for→ Your to-do list grows faster than you can complete it→ You're working nights and weekends just to stay afloat→ Someone suggests: "You should look into AI"→ You think: "I don't have time to learn that"→ You stay drowning See the problem? You're using "too busy" as a reason to avoid the one thing that could actually give you time back. It's like saying: "I'm too out of shape to go to the gym""I'm too broke to learn about investing""I'm too disorganized to implement systems" The logic doesn't work. The problem IS the reason you need the solution. Here's what "too busy for AI" actually means: It means you're spending 3 hours writing emails that AI could draft in 15 minutes. It means you're spending 2 hours researching something AI could summarize in 10 minutes. It means you're spending all day creating content AI could help you produce in an hour. You're not too busy to learn AI. You're too busy WITHOUT it. Let's do the math: Time investment to start using AI: 30-60 minutes to learn one basic tool Time saved per week: 3-5 hours (conservative estimate) ROI: You "spend" 1 hour to save 5+ hours every single week forever That's a 400% return on investment. Weekly. Would you spend $100 to make $400 every week? Of course. Why won't you spend 1 hour to gain back 5 hours every week? The breakthrough: The busiest people aren't too busy for AI. They're the ones who need it most desperately. Because while everyone else is overwhelmed trying to do everything manually, they could be: ✅ Using AI to draft their emails in seconds ✅ Using AI to create content outlines in minutes ✅ Using AI to summarize research instantly ✅ Using AI to organize information automatically ✅ Using AI to handle repetitive tasks they hate

I am trying to use AI every day, I am sure it will eventually be a game changer for those of us with barriers to learning, is there any information out there of access to training in AI specifically for those with these challenges, the rest of the world moves on quickly and eventually support is offered to our community long after the horse has bolted....

📝 TL;DR Retailers are quietly rolling out AI tools that scan your holiday returns for fraud before your refund is approved. With nearly one in ten returns suspected of fraud, AI is being hired as the new bouncer at the returns desk. 🧠 Overview A new AI system is being tested to catch fake or abusive returns as holiday return season surges. A major returns logistics company reports that U S retailers lose tens of billions of dollars each year to return fraud, with almost 16 percent of total retail sales coming back as returns and around 9 percent of those believed to be fraudulent. To fight that, they have built an AI tool that screens returns in real time, looking for suspicious patterns before the money goes back to the customer. Big brands are already piloting it across thousands of physical drop off locations. 📜 The Announcement A new report highlights that a UPS owned returns service has launched an AI system to flag suspicious returns at scale during the 2025 holiday season. The company handles box free, in store returns for online brands at thousands of locations and has seen how often fraud slips through when refunds are issued quickly. The AI tool is currently being tested with well known fashion and sportswear brands while retailers process an estimated eight hundred fifty billion dollars worth of returns this year. The goal is simple, reduce the roughly seventy six and a half billion dollars lost annually to return fraud without making honest customers feel punished. ⚙️ How It Works • Pattern spotting - The AI scans return requests from the moment they are started online, looking at timing, frequency, locations, order history and product details. • Risk scoring - Each return is given a risk score, most sail through automatically, but higher risk returns are flagged for extra checks before the refund is approved. • Network wide view - Because the system sits across thousands of drop off points, it can spot people trying similar tricks at different locations or across multiple brands.