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Hey folks,

The White House just dropped its official AI Action Plan and it reads like a full-blown playbook for turning the U.S. into the global AI superpower. It’s 28 pages long, split into 3 big pillars, and packed with everything from open-source support to energy grid expansion.

Pillar One is speeding up AI innovation. That means fewer regulations, more freedom to build, and a big push to get federal agencies and the military actually using AI.
Pillar Two is all about infrastructure with more chips, more power, more data centers, and fixing a grid that hasn’t seen a real upgrade since bell bottoms were cool.
Pillar Three goes global: exporting U.S. AI systems, tightening chip exports to China, and coordinating safety standards with allies.

Whether you love it or loathe it, this is the most aggressive AI strategy the U.S. has ever rolled out and it’s making one thing clear: the race is officially on with China.

Let’s dive in..

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🤜 Qwen 3 vs. Kimi K2: Precision vs. Power Play

🐝 The Buzz: Two AI heavyweights, Alibaba’s Qwen 3 and Moonshot’s Kimi K2 are fighting it out in 2025. One’s all about sharp specialization and global versatility; the other flexes massive scale and agentic smart agents.

🎯 Qwen 3: The Specialist

• Dual-mode genius: Qwen 3 splits tasks into "thinking" and "fast mode," swapping on the fly for efficiency or depth.

• Multilingual champ: Covers 119 languages with a 128K context window which is solid global reach.

• Benchmark beast: Qwen tops the charts on CodeForces, LiveCodeBench, BFCL in reasoning but stumbles slightly on hardcore math like AIME.

• Developer tasty: Scales from tiny to gigantic (0.6B–235B params), runs well even on single-GPU setups, and ships Apache 2.0 open-source.

⚡️ Kimi K2: The All-in-One Agent

• Trillion-parameter beast: 1T total parameters, with 32B active thanks to MoE magic, packed for problem-solving modes.

• Agentic architecture: Built for chain-of-thought reasoning, tool access, code, and long-term context that makes it a natural bot engine.

• Coding masterclass: Leads open-source in SWE‑bench (65.8% vs GPT‑4.1’s 54.6%) and LiveCodeBench (53.7%)

• Cost-efficient firepower: Roughly half the token cost of GPT‑4 but delivers similar or better output

• Open-source, heavy context: 128K window, Modified MIT license, ready for tinkering or embedding in serious workflows

⚖️ Clash of Strengths

💡 Takeaway: Qwen 3 is your specialist Swiss Army knife, fast, precise and flexible. Kimi K2 is the power-packed all-rounder that is agent-ready, low-cost, and practically built for doing things. For razor-sharp code, go Qwen. For go-big, automated workflows that scales affordably, Kimi’s the boss.

⚡️ GitHub Spark: Make Apps by Talking, Not Typing

🐝 The Buzz: GitHub just quietly launched Spark, an AI magic wand that builds micro-apps ("sparks") from natural language prompts, no code required. Ask your dev assistant, “Make me a habit tracker” and boom, you’ve got one that works across your phone, desktop, or even as a PWA.

✨ Spark’s Superpowers

• Plain-English app creation: Tell Spark what you want, and it builds it: from live previews to X-ray code tweaks. Each prompt iteration gives you interactive feedback.

• Built-in runtime, no setup drama: Spark handles hosting, storage, theming, and deployment as part of its managed runtime, so what you ask for just works.

• Smart iteration tools: Spark offers revision variants (3–6 creative spins), auto-saves every version, and lets you compare what each AI model (like Claude Sonnet 3.5, GPT-4o, o1-preview) produced.

• Shareable & remixable creations: You can share your sparks with read-only or read-write permissions. Others can fork them, explore the prompt history, and even remix your version.

• Powered by multi-model smarts: Spark taps into Claude Sonnet 4 and lets you switch among GPT‑4o, OpenAI’s mini/previews, Gemini, and more.

💡 Takeaway: Spark is a whole new development paradigm: talk your app into existence, iterate live, share and remix your creation, all without writing or deploying a line of code. It’s early days, but this feels like the start of app-making becoming as easy as chatting.

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🐝 AI buzz bits

🎨 Google Photos is levelling up creativity with new AI features allowing users to remix photos into eye-catching styles like anime or 3D animations, plus a cool option to transform images into short videos, perfect for reinvigorating your photo memories!

⚡ The AI boom is cranking up the heat on electricity costs, with the largest U.S. power grid shelling out a record $16.1 billion to keep the lights on amidst skyrocketing demand fueled by AI, causing power prices to surge.

💰 Nvidia's staggering market cap of $3.5 trillion makes it the world's most valuable company, boasting over $90 million in market cap per employee, three times more than its nearest rival.

🖥️ Microsoft is rolling out a slew of AI features for Windows 11, including Copilot Vision for screen analysis and smarter task management, making your PC more intuitive than ever.

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🤘 TGIF