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šŸ”„ GPT's ā€˜Spotify Wrapped’ for AI Obsessed

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Microsoft is aiming to eliminate C and C++ from its codebase by 2030, sounds wild, right? But there's a twist, why Rust is at the center of it all, then it’s not, at all?

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AI INSIGHTS

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Microsoft engineer, Galen Hunt, revealed an ambitious research effort: using AI + algorithms to systematically eliminate C and C++ across Microsoft’s largest codebases by 2030. Microsoft has already been pushing Rust in places like:

  • Azure

  • Windows kernel components

  • Security-sensitive infrastructure

This project is the logical next step: industrial-scale language migration. According to Hunt, the breakthrough isn’t ā€œjust using LLMs to refactor code.ā€ Instead, Microsoft built 2 layers of infrastructure:

  • Algorithmic code infrastructure

  • AI-driven code transformation

This system is already running at scale today for code understanding problems, so this is actually a long-term research bet, not a quick product change. Then, after the post started circulating, Hunt clarified that Windows is NOT being rewritten in Rust.

→ The real goal is making language-to-language migration possible at scale. Rust just happens to be the best test case today. Yet no one knows the truth behind.

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AI SOURCES FROM AI FIRE

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2. 8 Game-Changing Marketing Trends to Bet on for 2026. Your current tactics are losing traffic. We list 8 trends for 2026 that fix zero-click issues

3. 7 Google Antigravity Features that Vibe Coders Use to Build 10X Faster. How to stop writing code & start managing AI agents that build, test, and ship for yourself

4. Stop Trading Time For Money! Build An AI Affiliate MACHINE. Learn how to turn your AI influencer into a 24/7 money-making machine without chasing deals

DAY 6: BEGINNERS DAILY AI PLAN

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It’s time to stop doing everything manually. Today, we’re jumping into AI automation. AI stops being ā€œcoolā€ and starts being useful.

Think about it: AI can now handle repetitive tasks, like sending emails, scheduling meetings, and even generating reports. What you’ll learn today:

  • How AI automation actually works

  • The difference between Zapier vs Make (and which one fits you)

  • How to automate a simple task step by step

  • 12+ ready-to-use automated workflows & actionable ideas

  • How to turn boring daily work into background tasks

If you missed Day 5: Only 7 Prompt Rules You Need to Master Any AI Video Tool, even Future 2026 Ones, Go through it first to get the full picture.

TODAY IN AI

AI HIGHLIGHTS

šŸ’Ŗ You may know that OpenAI just released ChatGPT tone updates & personality types. To help 10x the chatbot’s accuracy, just copy & use this custom personality.

šŸ“… Similar to Spotify Wrapped, this personalized GPT year-in-review includes awards, even a custom image & poem based on your most-discussed topics. Get yours here.

🧾 Next, we got Google's year in review: 8 areas with research breakthroughs in 2025. This was a year of AI agents, reasoning & scientific discovery. Listen to the article here.

⚠ OpenAI’s CEO Sam Altman says in 10 years’ time college graduates will be working ā€˜some completely new, exciting, super well-paid’ job in space. Read his speech here.

šŸŽ® YouTube's new Playables Builder now lets you make bite-sized games from text, clips or images & share it directly with your audience. Learn more or see demo here.

šŸ’° Big AI Investment: TikTok's owner, ByteDance, plans to spend $23B on AI infra in 2026. Despite U.S. export controls, ByteDance aims to lead in AI & data centers.

NEW EMPOWERED AI TOOLS

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AI BREAKTHROUGH

anthropics-bloom-framework-fixing-whats-broken-in-ai-evaluation

Anthropic open-sourced Bloom, a new evaluation framework designed to measure AI behaviors without relying on static prompt tests that models eventually memorize. Most behavioral benchmarks today are built on fixed prompt sets. Over time:

  • Those prompts leak into training data

  • Newer models learn how to pass the test

  • Scores go up… but real safety understanding doesn’t

Bloom keeps the behavior definition constant while continuously generating fresh situations that could trigger it. It runs a fully automated, four-stage pipeline:

  • Behavior grounding → A high-level behavior is translated into concrete scoring criteria

  • Scenario generation → The system ideates many diverse, realistic situations where that behavior might appear

  • Parallel rollouts → Models are tested in multi-turn simulations

  • Judging & metrics → Transcripts are scored, summarized, and turned into structured metrics

Instead of pass/fail, Bloom tracks how reliably a behavior shows up. This turns evaluation into a behavioral profile, not a checkbox. Hopefully, we could see more widespread and responsible adoption of AI across industries.

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