✅ Hugging Face drops a free 200-page textbook on building neural networks from scratch

Hugging Face just released a comprehensive open textbook that teaches how to create and train AI models from the ground up, completely free.

🔸 The 200-page guide covers the full training pipeline, from core math and data preparation to backpropagation and model optimization.
🔸 It’s written in accessible language and packed with diagrams, making deep learning fundamentals understandable even for beginners.
🔸 The release fits Hugging Face’s mission of open AI education and transparency, lowering the barrier for anyone to learn how modern neural networks actually work.

In an industry dominated by closed systems and paid courses, Hugging Face just turned AI education itself into open-source infrastructure.

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🚀 The first Nvidia H100 GPU just went to space

A small satellite, roughly the size of a mini-fridge, has carried the first Nvidia H100 into orbit, part of an early experiment by Starcloud, a startup aiming to build gigawatt-scale data centers in space.

🔸 The satellite includes solar panels, radiators, and a single H100 GPU, designed to test how high-performance chips operate beyond Earth’s atmosphere.
🔸 Starcloud’s long-term goal is to create massive orbital data centers with millions of GPUs running on direct solar power.
🔸 Operating in a sun-synchronous orbit means the data center is always in sunlight, removing the need for batteries or nighttime power plants, a huge advantage in energy efficiency and cost.
🔸 A proposed 5-gigawatt orbital facility would weigh around 20,000 tons and cover 16 square kilometers, nearly half the total mass humanity has ever launched into space.

The concept hinges on launch economics: Starcloud’s plan assumes orbital costs of about $30 per kilogram, achievable only with SpaceX’s Starship. Until then, the company is testing power, cooling, and GPU performance in orbit, a first step toward making space the next frontier for AI compute.

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📈 AI is enriching investors while compressing wages

Artificial intelligence is accelerating wealth for investors even as it diminishes the value of human labor, creating a historic concentration of capital in tech stocks.

🔸 The seven largest technology companies now have a combined market capitalization exceeding $20 trillion, an all-time high.
🔸 These companies’ shares account for roughly 35% of the S&P 500, marking a level of concentration unseen even during the dot-com bubble in 2000.
🔸 While AI boosts productivity and profit margins, it simultaneously reduces the economic leverage of human workers, widening inequality.
🔸 Investors are reaping unprecedented gains, but the broader workforce sees limited upside from the same technological boom.

The rise of AI highlights a fundamental shift: the greatest beneficiaries of technological progress are increasingly shareholders, not employees.

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⚙️ Reduino lets you program microcontrollers entirely in Python

A new library, Reduino, makes Arduino-style projects accessible without learning C++, letting hobbyists and engineers code microcontrollers in native Python.

🔸 Simplified coding: Control LEDs, RGB strips, sensors, and other electronics using familiar Python syntax, loops, conditions, arrays, tuples, and even classes.
🔸 Automatic translation: Python code is converted behind the scenes into C++ system files, ensuring compatibility and stability.
🔸 Seamless deployment: The library can compile and upload code directly to devices, removing the traditional Arduino workflow friction.
🔸 No C++ required: Beginners can focus on logic and experimentation without learning Arduino’s programming language.

Reduino could reshape DIY electronics by making Python the universal language for microcontrollers, lowering the barrier for creators and innovators alike.

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💸 Fewer checks, bigger bets: early rounds now dominated by single investors

Peter Walker, Head of Insights at Carta, shared data showing a sharp shift in early-stage funding, lead investors are now taking nearly 100% of Seed and Series A rounds. The rest, a symbolic 1%, goes to angels.

🔸 The logic is simple: lead investors secure better terms today and tighter control tomorrow, while founders get a cleaner cap table and faster closes.
🔸 For follow-on rounds, a fully led seed signals conviction “if Fund X took the whole thing, they must’ve seen something.”
🔸 Angels and syndicates are getting edged out, but founders benefit from speed, clarity, and fewer competing opinions.
🔸 The trade-off: less investor diversity means fewer networks and viewpoints early on.

So what’s better — many small believers or one big backer?

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🥗 One photo, full nutrition: AI app counts calories from any meal

A new app called CalPulse can now identify the full nutritional breakdown of food from a single photo, whether it’s a café dish, delivery meal, or restaurant plate.

🔸 Snap a photo, upload it to CalPulse, and the app instantly analyzes calories, proteins, fats, and carbs.
🔸 It also recognizes menu items from restaurants and delivery services, matching them to verified nutritional databases.
🔸 Designed for precision tracking, it helps users log macros without manually entering ingredients.

AI is making calorie counting effortless, just point, shoot, and eat smarter.

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🎥 YouTube turns likes into mini-animations to boost engagement

YouTube has updated its like button, it now shows custom animations depending on the video’s theme. A car video gets a spinning wheel, a football clip a bouncing ball, and a travel vlog a plane taking off.

🔸 The like itself hasn’t changed, you still can’t “multi-like” or react with emojis, only one click but the visual effect now varies across content types.
🔸 Dislikes remain static with no animation added.
🔸 The goal is to make liking more fun and “convert better,” nudging users to click more often.

More likes mean richer engagement data for algorithms, longer average watch time (since people are less likely to quit videos they’ve liked), and deeper platform attachment through frequent interaction.

A small UI tweak but a clever psychological move to keep viewers watching longer.

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🥤 Coca-Cola drops new AI-generated New Year ad made in a month, not a year

Coca-Cola has unveiled its latest New Year campaign, created entirely with the help of artificial intelligence marking the second year the brand has leaned on AI for its holiday storytelling.

🔸 The project involved a team of 100 people who generated and refined over 70,000 AI-created clips before assembling the final video.
🔸 Compared with traditional film production, the process was dramatically faster and cheaper.
🔸 What once took nearly a year of shooting and editing was completed in just one month thanks to generative tools.

For Coca-Cola, AI is becoming more than a creative experiment, it’s turning into a new production model for global campaigns.

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🎆 China breaks world record with nearly 16,000-drone sky show

In Liuyang, known as the “fireworks capital of the world,” organisers launched 15,947 drones in one synchronized display, setting two Guinness World Records for “largest number of drones controlled by a single computer” and “largest number of drones launching fireworks”.

🔸 Each drone flew a precisely controlled path using RTK positioning and mesh-network communications, forming shapes like towers, blossoms and a glowing “Sky Tree”.
🔸 The event replaced traditional chemical fireworks with digital choreography, signalling a shift from classic pyrotechnics to high-tech light shows.
🔸 While visually spectacular, the show also leveraged technologies used in autonomous systems mmwith implications beyond entertainment, including mapping or coordinated drone deployments.
🔸 The organisers acknowledged the risks: drone swarms require flawless software and precision, and past drone shows in Liuyang have malfunctioned, causing drones to fall toward crowds.

This display isn’t just a stunning light show, it’s a demonstration of how large-scale drone orchestration is maturing.

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🤖 Dobot’s affordable robot dog aims to make home robotics mainstream

Dobot has launched the Rover X1, a multi‑purpose robot dog priced around US $1,030, designed to bring advanced robotics into everyday households.

🔸 The Rover X1 combines precise sensors and AI-powered navigation with a consumer-friendly design, handling tasks from item transport and filming to home security and coding education.
🔸 Over 5,000 units were reserved on the first day, showing strong early demand for versatile, affordable home robots.
🔸 Unlike most single-function robots on the market, Rover X1’s multi-purpose capabilities aim to justify its presence in the home and expand the adoption of robotic assistants.
🔸 The launch aligns with China’s push for “home service robots” as a growth sector, signaling both policy support and market potential.

Versatile, accessible, and AI-enabled, the Rover X1 could shift robot dogs from novelty gadgets to practical household helpers if it proves reliable and easy to integrate into daily life.

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🩷 Tinder will soon use AI to read your camera roll and match you better

Tinder is testing a new AI feature called “Chemistry” that analyzes your camera roll with your permission to understand your lifestyle and interests more deeply than profile bios or prompts ever could.

🔸 The system uses computer vision to spot patterns in your photos (like travel, pets, or food) and combines them with short quiz answers to build a personalized match profile.
🔸 The pilot is currently rolling out in New Zealand and Australia, with plans to make it a major feature in Tinder’s 2026 redesign.
🔸 Match Group expects a short-term $14 million revenue dip as it experiments with the rollout, betting that deeper personalization will drive long-term engagement.

If it works, Tinder’s next matchmaker might not be an algorithm guessing from swipes but an AI quietly studying your photo gallery.

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🧠 Anthropic launches “Skills”, modular extensions that let Claude learn on the fly

Anthropic has introduced Skills, a new way for users to extend Claude’s capabilities with custom instructions, noscripts, data, and templates turning the model into a flexible, task-specific assistant without retraining it.

🔸 A Skill can contain rules (“if X then Y”), datasets, documents, or even company-specific resources like brand guidelines or tone templates.
🔸 Claude can automatically select the right Skill for a task or let users toggle between manual, semi-automatic, or fully automatic activation.
🔸 Anthropic also ships default Skill packs for common tasks like data analysis, summarization, and editing, available to all paid Claude users, including API and Claude Code.
🔸 Unlike OpenAI’s separate user-built GPTs, Skills work as modular layers on top of the main model, meaning multiple can run or switch dynamically in a single session.

By blending flexibility with simplicity, Anthropic’s Skills may redefine how users personalize AI not by building new bots, but by teaching one model to think in many modes.

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📹 REAL Video Enhancer launches, upgrade any video by tens of times

A new tool called REAL Video Enhancer has just dropped, promising professional-grade video restoration and upscaling all processed locally on your device.

🔸 Enhances and sharpens footage by tens of times, improving clarity and resolution.
🔸 Compresses files without any visible quality loss, ideal for large projects.
🔸 Removes noise, distortion, and artifacts from low-quality or old recordings.
🔸 Maintains full detail and texture integrity during enhancement.
🔸 Works entirely offline, keeping all content private.
🔸 And it’s completely free to use.

For creators and editors, REAL Video Enhancer could turn grainy clips into studio-quality footage without needing cloud access or paid software.

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💎 45 startups poised for breakout exits in the next decade

CB Insights has identified 45 private startups most likely to achieve major exits IPOs or acquisitions within 5–10 years, driven by shifts in AI infrastructure, strategic partnerships, and vertical specialization.

🔸 Infrastructure over applications: As AI agents replace traditional SaaS, infrastructure companies are becoming the real profit centers. Many founders, ex-Google, Stripe, and Robinhood engineers are building the core systems that others depend on.
🔸 Partnerships drive scale: The strongest startups aren’t going solo. They’re integrating with corporations, creating ecosystems where partnerships are as critical as technology itself.
🔸 Vertical AI wins: With foundation models turning into commodities, value is moving toward startups with domain-specific data and expertise in sectors like health, law, and energy.

The biggest exits of the 2030s may come not from AI chat apps, but from the deep infrastructure and vertical players quietly powering the entire AI economy.

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🎓 Free AI & Python courses with certificates from Google, IBM, and Microsoft

Some of the biggest tech companies are offering free, certified courses to help you build real AI and coding skills no paywall, no subnoscription.

⚙️ Google — Machine Learning Crash Course
• 40+ hours of hands-on exercises, TensorFlow tutorials, and real-world data projects.
• Includes a verified certificate from Google.

🧠 IBM — AI Engineering Professional Certificate
• Covers NLP, ML, and Deep Learning with practical labs and model-building projects.
• Recognized pathway for IBM’s AI roles.

💻 Microsoft — Python for Beginners
• A full video series made by Microsoft engineers.
• Teaches Python step-by-step perfect for coding newcomers.

🤖 DeepLearning.AI — Generative AI with LLMs
• Learn how to build prompts, use GPT models, and apply LLMs in real scenarios.
• Co-created with top AI researchers.

📊 Kaggle Learn — Python & Machine Learning Tracks
• Short, interactive modules on Python, Pandas, ML, and AI foundations.
• Practice directly in your browser no setup required.

These courses don’t just teach,they certify your skills from the companies shaping the AI revolution.

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