🧠 A 33,000-skill “brain” for AI agents is emerging

A massive, structured skill database is being built for Claude Code, OpenAI Codex, and ChatGPT, allowing neural networks to be explicitly taught new capabilities instead of relying on ad-hoc prompts.

🔸 The database contains 33,000+ distinct skills spanning automation, software development, research, data workflows, and operational tasks.

🔸 Each skill comes with clear instructions, constraints, and expected behavior, making them reusable rather than one-off prompt hacks.

🔸 A search engine and filters make it possible to quickly find the right capability by domain or use case.

🔸 Skills are linked to real sources on GitHub and documentation, grounding them in practical implementations.

🔸 The system is designed to plug directly into agentic workflows for coding agents and autonomous AI systems.

This marks a shift from prompt engineering to capability engineering where AI systems are upgraded by importing skills, not rewriting prompts.

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When the robot rebellion begins, no one will know, but there will be signs

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🧠 Andrey Karpathy says he feels like a lagging programmer in the AI era

Former OpenAI and Tesla AI leader Andrey Karpathy shared a candid reflection on how AI is radically reshaping what it means to be a programmer and why even top engineers now feel behind.

🔸 Karpathy says human contribution to code is becoming sparse and fragmented, with large parts delegated to AI systems rather than written directly.

🔸 He believes he could be 10× more productive if he fully mastered the new AI tooling stack that has emerged just in the last year and calls his inability to do so a skill issue.

🔸 A new abstraction layer has appeared on top of traditional software engineering: agents and subagents, prompts, contexts, memory, modes, tools, plugins, skills, hooks, MCP, LSP, slash commands, IDE integrations, and workflows.

🔸 Developers now need a mental model of stochastic, error-prone, constantly changing systems very different from deterministic software yet deeply intertwined with classic engineering.

🔸 Karpathy compares AI to a powerful alien tool with no manual, where everyone is forced to experiment in real time while the profession undergoes a magnitude-9 earthquake.

🔸 His advice is blunt: roll up your sleeves, because the pace of change means standing still is falling behind.

Karpathy’s post reads less like a complaint and more like a warning: programming isn’t dying but the old mental models are, and even the best engineers now have to relearn the craft from scratch.

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🔒 Google released a mega-guide with 40 tips for working with modern AI models

Google compiled a practical playbook for using today’s most hyped neural networks, essentially a year’s worth of AI learnings packed into one guide.

🔸 The guide includes non-obvious Gemini 3 features, showing where it outperforms expectations and how to unlock hidden capabilities.

🔸 It collects AI tools, prompt patterns, and workflows that go beyond basic chat usage aimed at real productivity gains.

🔸 Many tips focus on combining models and tools, not treating any single AI as a silver bullet.

🔸 The recommendations are task-agnostic: writing, coding, research, planning, analysis, and creative work all fit the framework.

🔸 A recurring theme is leverage how small prompt or setup changes can lead to disproportionately better outputs.

🔸 The guide positions AI less as a chatbot and more as a programmable co-worker that rewards structured thinking.

AI skill is no longer about knowing which model is best, it’s about knowing how to extract leverage from any of them.

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🔥 Claude Code is now writing 100% of its own code and its creator let it happen

Claude Code’s lead developer has admitted that every single contribution over the past 30 days was written by Claude itself not as an experiment, but as normal workflow.

🔸 The developer is Boris Cherny, widely regarded as the original creator and “founder” of Claude Code, which began as his side project in 2024.

🔸 In the last month alone, Claude Code:
• shipped 259 pull requests
• made 497 commits
• added ~40,000 lines of code
• deleted ~38,000 lines, with every line generated by Claude Code + Opus 4.5.

🔸 The human role has shifted to orchestration: prompts, reviews, architecture decisions not typing code.

🔸 Claude can now run continuously for minutes, hours, even days, using Stop hooks to manage long-lived development loops.

🔸 This isn’t toy automation or autocomplete, it’s end-to-end software production at scale, driven by the system itself.

🔸 What started as a side project has quietly become a proof point for a new programming paradigm.

Software development is crossing from human-written with AI assistance to AI-written with human supervision and this is likely the slowest this transition will ever be.

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⚡️ China’s superconducting maglev hits 700 km/h in a 400-meter sprint

Chinese engineers from the National University of Defense Technology (NUDT) accelerated a monocoque test vehicle to 700 km/h and back to zero on just a 400-meter track, setting a new benchmark for superconducting maglev systems.

🔸 The acceleration reached ~10 g, well beyond what even trained fighter pilots can tolerate; braking peaked at around 5 g, confirming this is a tech demo, not a passenger vehicle.

🔸 The system uses high-temperature superconductors, cooled with liquid nitrogen to −196°C far simpler and cheaper than classic liquid-helium superconductors at −269°C.

🔸 This makes the setup more practical for real-world infrastructure, while still enabling extreme speeds and stability.

🔸 The stated next milestone is 1,000 km/h, faster than the cruising speed of commercial passenger aircraft.

🔸 At that speed, a Shanghai–Beijing trip could theoretically drop to ~2 hours, versus ~14 hours by car today.

🔸 China already operates the world’s only commercial high-speed maglev: the Shanghai Maglev, which covers 30 km in 7–8 minutes at up to 431 km/h.

China isn’t just experimenting with futuristic transport, it’s systematically pushing maglev toward air-travel territory, where trains start competing with planes rather than cars.

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When AI finally runs the world, you’ll know exactly where to point the finger.

P.S. GPUs owe their existence to games like Quake and Half-Life 2. Even Demis Hassabis, now leading AI at Google, began as a game developer.

Turns out the gaming industry wasn’t just entertainment, it quietly laid the groundwork for modern AI, and its role is still massively underestimated.

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🔥 A 10-hour fireplace turned into a full-time income

There’s a YouTube channel with a single video: ten hours of a burning fireplace. No edits, no commentary, no updates.

That one video brings its creator around $180k usd a year.

Sometimes the smartest business model is realizing people just want something calm playing in the background.

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🎓 MIT drops a free course on AI agents, theory and real-world practice

The folks at MIT have released a free, comprehensive course on AI agents, covering both fundamentals and applied use cases.

🔸 AI agents, what they are, how they differ from chatbots, and where they actually make sense.

🔸 Planning, task decomposition, decision-making loops, and agent control logic.

🔸 RAG (Retrieval-Augmented Generation), grounding agents in external knowledge and tools.

🔸 MCP (Model Context Protocol), structuring context, memory, and tool access for scalable agents.

🔸 Examples & case studies, real implementations, not just academic theory.

🔸 Designed as a practical base for anyone building agentic systems in production.

MIT isn’t just teaching how to talk to models, it’s teaching how to make AI act, which is quickly becoming the most valuable skill in applied AI.

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Happy New Year!

Thanks for reading and staying curious.

See you in 2026.

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The money talk every parent should give their kids.

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🔥 These robots have moved a building!

A team of 432 walking robots is carefully moving a 7,500-ton historic building in Shanghai. Instead of traditional machinery, these robots gently lift and “walk” the building about 10 meters per day.

The area is densely packed with narrow alleys and old structures, making cranes and large machines unusable. These robots were chosen because they can operate in tight spaces and move precisely without damaging nearby buildings.

In China robots are even moving existing buildings! 🤯

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Ai is mysteriously learning things it was never programmed to know.

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Google's CEO gets asked, "Does Google track you through your phone?"

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✅ A BlackBerry-style phone makes a surprising comeback

Clicks. known for physical keyboard phone cases has just unveiled its first standalone smartphone built around a full QWERTY keyboard and minimalist communication focus.

🔸 Physical keyboard at the center: The Communicator features a full QWERTY keyboard with larger keys and touch-sensitive functionality that can also act as a trackpad aiming to make typing and navigation faster and more tactile than on a typical touchscreen.

🔸 Standalone 5G Android device: It isn’t just an accessory, the Communicator has its own cellular connection, runs Android 16 with a stripped-back launcher to reduce distraction, and supports essential apps like Gmail, WhatsApp, Slack, and Telegram.

🔸 Retro-modern hardware: The phone packs a 4.03-inch OLED screen, front and rear cameras, a 4,000 mAh battery, a headphone jack, expandable microSD storage, and interchangeable back plates for personalization.

🔸 Design with everyday features: Clicks has included a physical mute switch and a customizable side LED key for notifications or shortcuts, little touches that mainstream phones have dropped.

🔸 Price and preorder: The Communicator is priced at about $499, but early reservations (with a $199 deposit) drop it to $399 ahead of general availability later this year.

🔸 Focus on communication, not consumption: With a minimalist interface and hardware built for typing and messaging, the phone targets users who want a less distracting alternative to traditional smartphones.

Clicks is betting that tactile control and focus-oriented design still matter in a world dominated by large, distraction-driven touchscreen devices.

📊 @tech