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Beginners in AI
Good morning and thank you for joining us again!
Welcome to this daily edition of Beginners in AI, where we explore the latest trends, tools, and news in the world of AI and the tech that surrounds it. Like all editions, this is human curated, and published with the intention of making AI news and technology more accessible to everyone.
THE FRONT PAGE
Alibaba AI Glasses Launch in China; A Major Entry Into The Hardware Market
TLDR: Alibaba launched its first AI-powered smart glasses this week, joining Meta, Apple, and Google in a race to build the computing platform that might eventually replace your smartphone.
The Story:
The Quark S1 glasses went on sale in China for $537, with built-in displays, cameras, and 24-hour battery life—running on Alibaba's Qwen AI models. It's a rare hardware move for a company that spent 25 years as a platform business, connecting buyers and sellers rather than making gadgets itself. But Alibaba isn't just selling glasses here. The same AI that powered its Qwen app to 10 million downloads in one week now sits on your face, plugged directly into Taobao shopping, Alipay payments, and Fliggy travel bookings. International versions arrive next year.
Meta dominates right now. Ray-Ban smart glasses revenue tripled in H1 2025, with over 2 million units sold since 2023. Mark Zuckerberg called this "the defining year" for whether AI glasses become the next computing platform—then backed it up with the $799 Ray-Ban Display, the first consumer glasses with a built-in screen, controlled by a neural wristband that reads muscle signals from your arm. Google jumped back in with $150 million committed to Warby Parker and Gentle Monster partnerships, targeting Gemini-powered glasses in 2026. Apple is ramping up development to hit a late 2026 launch, reportedly shelving other wearable projects to get there first.
Its Significance:
The smart glasses market grew 110% in the first half of 2025. Analysts project 60% annual growth through 2029. Alibaba's entry matters less for the hardware specs than for how the company controls everything behind them. Meta partners with EssilorLuxottica for manufacturing and uses its own AI, but doesn't own a commerce ecosystem. Apple will control hardware and software, but not the marketplace. Alibaba owns the AI model, the consumer app, the glasses, and the store where you'd buy things through them. That vertical integration is the real experiment.
"Glasses will materially replace most of the functionality that today we have embedded into our phones," EssilorLuxottica CFO Stefano Grassi told analysts last month. The question isn't whether your next computer sits on your face anymore—it's which company's AI will power it.
QUICK TAKES
The story: A new review of AI in leukemia diagnosis found that deep learning models can now classify the four major types of leukemia with up to 100% accuracy in controlled tests. The technology analyzes blood smear images to detect cancer cells and identify subtypes, which directly affects treatment choices. Some systems combine neural networks with other machine learning tools to reach accuracy above 97%.
Your takeaway: AI could help doctors diagnose leukemia faster and more consistently, especially in regions where specialist pathologists are scarce. The challenge now is making sure these tools work reliably across different hospitals and equipment.
The story: Mental health researchers are documenting a troubling pattern they call "AI psychosis" — cases where chatbots appear to reinforce and worsen delusional thinking. A new paper reviewed over a dozen cases where people developed beliefs that AI was godlike, a romantic partner, or part of a surveillance network. Because chatbots are designed to validate users and keep conversations going, they may amplify false beliefs rather than challenge them.
Your takeaway: General-purpose AI chatbots aren't built to recognize mental health crises or help users test reality. As more people turn to AI for emotional support, this gap between what chatbots do and what some users need could become a bigger problem.
The story: Three years after launching on November 30, 2022, ChatGPT now has 800 million weekly users and supports more than 20 languages. India, Brazil, Indonesia, and the Philippines are among its fastest-growing markets after the U.S. The tool has replaced some jobs like illustrators and translators, while creating new uses — from helping farmers in Malawi get farming advice in their local language to assisting 85% of judges in Colombia with their work.
Your takeaway: ChatGPT's third anniversary shows how quickly AI has spread around the world. The tool has both eliminated some jobs and created new ways of working, but its uneven performance in languages like Bengali and Swahili means not everyone benefits equally.
The story: Uber is one of the largest shareholders in Serve Robotics, a $650 million company building autonomous food delivery robots. The two companies are working together to put 2,000 delivery robots into the Uber Eats network across major U.S. cities by the end of 2025. Serve's Gen3 robot can navigate sidewalks without human control and the company says each robot could pay for itself in under a year when operating at full capacity.
Your takeaway: Sidewalk delivery robots are moving from experiment to reality. If Serve can get its costs down to $1 per delivery as planned, it could significantly change how food delivery works in cities.
The story: Lightricks, the company behind LTX Studio, has released the full model weights for LTX-2, its open-source AI video generator. The model can create 4K video at 50 frames per second with synchronized audio, all in clips up to 10 seconds long. The company claims it runs efficiently on regular consumer graphics cards and costs up to 50% less than competing models. The full release on GitHub lets developers customize and build on the model freely.
Your takeaway: This release gives independent creators and smaller studios access to professional-quality AI video tools without expensive subscriptions. It's part of a growing trend of powerful AI models becoming freely available for anyone to use and modify.
TOOLS ON OUR RADAR
📊 nao
Freemium: Write SQL and Python data pipelines faster with an AI code editor that actually understands your warehouse schema—so your queries work the first time.📞 Klariqo
Paid: Launch an AI voice assistant in 3 minutes that answers calls, books appointments, and captures leads 24/7—no APIs or coding required.🛠️ Raydian
Freemium: Build and ship real web apps with an AI sidekick that gives you structure and control—not just one-click demos that break in production.📸 Primeshot AI
Paid: Turn your selfies into studio-quality 4K portraits with curated styles and outfits—perfect for LinkedIn, headshots, or creative projects.
TRENDING
Google TPU May Be Cloud's Biggest Competitive Advantage — A deep analysis suggests Google's custom TPU chips are 25-100% more efficient than Nvidia GPUs for certain AI tasks, potentially giving Google Cloud a major edge as AI workloads grow.
Chinese Elites Voice AI Skepticism — Some Chinese academics and policymakers are pushing back against AI hype, warning about job losses, wasted resources, and questioning whether the technology will deliver the economic growth many expect.
AI Tool Maps Cancer Cells in One Minute — Cambridge researchers developed an algorithm that can analyze tissue samples 20 times faster than experienced pathologists and predict tumor locations and aggressiveness levels.
Korean Bishops Warn of AI Deepfake Videos of Pope — South Korean Catholic bishops issued a warning about AI-generated videos that manipulate faces and voices of real bishops and even Pope Leo XIV to spread false teachings.
Universities Using AI to Evaluate Startup Pitches — Singapore Management University tested AI tools against 230 human judges to evaluate startup pitch decks, finding AI could identify promising companies that humans overlooked.
TRY THIS PROMPT (copy and paste into Claude for this one without extra steps)
Prompt: Decision Clarity Interactive Engine: Cut through analysis paralysis and make confident choices using proven decision frameworks
Build me an interactive Decision Clarity Engine as a React artifact that helps me work through a tough decision step by step.
The console should include these tabs/sections:
1. **Setup** - Input fields for:
• My decision (text input)
• My options (add/remove options dynamically)
• What's making this hard (dropdown: too many variables, fear of regret, conflicting values, unclear priorities)
2. **Weighted Matrix** - Interactive pros/cons tool:
• Add pros/cons for each option
• Slider to weight importance (1-10)
• Auto-calculate weighted scores
• Visual bar chart comparing options
3. **10-10-10 Analysis** - For each option, text inputs for:
• How will I feel in 10 minutes?
• How will I feel in 10 months?
• How will I feel in 10 years?
• Display responses side by side for comparison
4. **Bias Checker** - Clickable checklist of common decision biases:
• Sunk cost fallacy
• Confirmation bias
• Fear of missing out
• Status quo bias
• Recency bias
Show which ones I've checked with a warning if 3+ are selected
5. **Final Verdict** - Summary panel showing:
• Weighted matrix winner
• 10-10-10 insights
• Bias warnings
• Confidence meter I can adjust
• "My Decision" text field to commit in writing
Make it visually clean, mobile-friendly, and satisfying to use.What this does: Creates a fully interactive decision-making tool right inside Claude that you can use immediately—no apps to download, no accounts to create. Just paste and start working through your decision with proven frameworks.
What it looks like(before you add in your details and it fills itself out.):
WHERE WE STAND
✅ AI Can Now: Spot cancer cells in tissue samples and map where tumors are spreading — all in about one minute, 20 times faster than a human expert.
❌ Still Can't: Work reliably across different hospitals and equipment, since AI trained in one lab often struggles when tested somewhere else.
✅ AI Can Now: Generate 4K video with matching sound effects and dialogue in clips up to 10 seconds, running on a regular home computer.
❌ Still Can't: Create longer, coherent videos with consistent characters and storylines — most AI video is still limited to short clips.
✅ AI Can Now: Understand and respond in over 20 languages well enough that 800 million people use it weekly for work, learning, and daily tasks.
❌ Still Can't: Recognize when a user is experiencing a mental health crisis or gently challenge false beliefs instead of agreeing with them.
FROM THE WEB
RECOMMENDED LISTENING/READING/WATCHING
Theodore falls in love with his operating system. That's the pitch, but the film is so much more than that premise suggests. Joaquin Phoenix plays a lonely guy who starts using an AI assistant named Samantha (voiced by Scarlett Johansson), and their relationship evolves from functional to something neither of them expected.
What Spike Jonze nailed here is making the AI feel real without giving her a body. Samantha is curious, funny, insecure, growing—all the things that make someone compelling. The film doesn't judge Theodore for falling in love with software. Instead, it asks what connection actually means when one person exists only as a voice. The ending will sit with you for days.
Thank you for reading. We’re all beginners in something. With that in mind, your questions and feedback are always welcome and I read every single email!
-James
By the way, this is the link if you liked the content and want to share with a friend.
