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Code is now advancing so fast that it’s not just writing software, it’s improving itself and autonomously creating apps and platforms. As Chinese AI models continue closing the gap with Silicon Valley and AI systems grow stronger at math and reasoning, development is accelerating exponentially. The real constraint is no longer talent or ideas, but who controls the compute, data, and capital needed to build and scale it all.

• Coding is Free and Power Scarce

• China’s AI Models continue to close the gap and undercut Silicon Valley.

• 🧰 AI Tools - Math Help

• AI Is Improving at Math Problems That Stumped Humans for Decades.

• 📚Learning Corner - Dashboard Builders

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📰 AI News and Trends

• Anthropic's $30 Billion Series G Intensifies LLM Race.

• Google Maps’ New Gemini Feature to Reportedly Let You Chat About Places and Routes.

• Global AI spending is surging as Alphabet raises billions in a massive bond deal. And new retail data shows US consumers are starting to pull back.

• Czech ice dancers have come under fire for using AI-generated music in their routine.

• A Malaysian man bought the domain AI.com in 1993 for about $3–4 and sold it in 2025 for roughly $75–80 million.

• Pentagon pushing AI companies to expand on classified networks.

• AI insiders are sounding the alarm

Other Tech News

• Russian Startup Hacks Pigeon Brains, Turns Them Into Living Drones.

• Bitcoin hovers near $65,000 as investor frustration grows.

• First atlas maps brain cell waste systems tied to Alzheimer’s, Parkinson’s.

• Waymo begins deploying next-gen Ojai robotaxis to extend its U.S. lead, and one of them already crashed into a stopped vehicle in a residential neighborhood.

• The biggest stars at the Olympics are drones.

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Coding is Free and Power Scarce

This week’s signals from Spotify, Elon Musk, and insiders at OpenAI and Anthropic all point to the same reality: “Software is becoming frictionless.”

Spotify says its top engineers haven’t written code since Dec 2025, shipping 50+ features in 2025 using AI systems that deploy fixes from a phone, while Musk predicts that by 2026–2027. As we shared earlier, code is coding itself, and it will not change anytime soon. AI will bypass programming languages entirely and turn human intent directly into optimized machine code, shrinking the idea-to-product cycle from months to minutes. At the same time, AI researchers are resigning and warning of existential risks as capabilities scale faster than regulation can keep pace, even as valuations surge toward $380B and political spending rises. The common denominator is clear, and it’s that execution is being commoditized, productivity per worker is rising 5x–20x+, and power is concentrating around data, compute, and distribution.

Over the next 1–3 years, most software will be built by autonomous agents; within 5 years, human coding will be a niche, with companies of five doing the work of hundreds. The upside is massive, cheaper innovation, faster science, and lower startup costs, but the downside is equally large: rapid job displacement, monopolized infrastructure, large-scale manipulation, and fragile systems humans no longer fully understand. In the AI economy, skill is becoming abundant, code is dissolving, and the real bottleneck is shifting to judgment, ethics, and who controls the machines that now build everything.

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China’s AI Models continue to close the gap and undercut Silicon Valley.

China’s AI race is accelerating as MiniMax launched its new open-source flagship model M2.5, positioning it as a low-cost alternative to U.S. leaders like Anthropic for coding and agentic tasks, a move that helped push MiniMax’s Hong Kong-listed shares up nearly 10%.

The release is part of a broader surge in Chinese models gaining global traction, including Zhipu AI’s GLM-5, praised for coding performance, and Moonshot AI’s Kimi K2.5, which recently became the most-used model on OpenRouter. Together, these launches signal that China is rapidly closing the gap in high-quality, low-cost AI models, increasing competitive pressure on U.S. providers and giving developers more affordable options worldwide.

📚Learning Corner

Dashboard Builders

• Looker – Best for cloud + SQL teams. Works well with BigQuery and data warehouses. Good for scalable, data-governed dashboards.

• Metabase – Best open-source option. Free, fast to deploy, and great for startups or internal tools.

• Streamlit / Plotly Dash – Ideal if you’re building custom AI, finance, or IoT dashboards in Python.

AI Is Improving at Math Problems That Stumped Humans for Decades.

AI is starting to meaningfully assist mathematicians by rapidly searching literature, combining known results, and occasionally generating valid proofs, helping resolve around 100 long-standing Erdős problems since late 2025.

Researchers at OpenAI and Google DeepMind are increasingly using LLMs as research assistants that can cut weeks of work to days, though they still produce large volumes of confident but incorrect results. A new benchmark called First Proof is testing whether AI can solve unpublished problems, with mixed early outcomes. While no major journal has yet published an AI-assisted proof, many experts expect 2026 to be the turning point, positioning AI as a powerful collaborator rather than a replacement for human mathematicians.

🧰 AI Tools of The Day

Math Help

• Wolfram Alpha – Uses symbolic computation and a vast math knowledge base to solve equations, integrals, matrix problems, and more with step-by-step solutions.

• Symbolab – An AI-powered math solver that provides step-by-step solutions for algebra, calculus, and trigonometry problems.

• Microsoft Math Solver – Interprets handwritten or typed math problems and delivers detailed solutions, graphs, and related examples.