Master AI with Anthropic

Hello there! Ready to dive into another upgrading, Mind-boggling, and Value-filled Shift?

Today we have:

🧠 Master AI Like a Pro with Anthropic’s New Free Course

🔥How to Kill Your $20/month Perplexity Bill (With One Free Prompt)

📈 MIT’s SEAL Framework Lets AI Rewrite Its Brain

🏆 Shifts Your Cannot Miss

🧠 Master AI Like a Pro with Anthropic’s New Free Course

Anthropic just dropped a free AI Fluency course, and it might be the most practical system yet for turning casual AI users into strategic collaborators. Built around a 4-part mental model, it reframes prompting as just one small piece of mastering AI. If you’ve been feeling like ChatGPT or Claude should be doing more for you, this is the guide that shows you how.

The 4Ds of AI Fluency: A smarter way to work with AI

• Delegation – Learn when to offload tasks and when to keep control, based on your goals and the AI’s actual strengths.

• Description – Go beyond prompts by defining what you want, how to approach it, and how the AI should act, product, process, and personality all matter.

• Discernment – Critically assess the AI’s outputs, logic, and tone, so you’re not blindly copy-pasting garbage just because it sounds smart.

• Diligence – Own your use of AI by choosing the right model, being transparent, and taking full responsibility for the result.

Why it hits different: You’re not just learning prompts, you’re building a real project, analyzing failures, and writing your own AI ethics statement. The goal isn’t better chats. It’s becoming someone who can think with AI, build with AI, and lead with AI.

🟡 Takeaway: This course is only 3–4 hours, but the mindset shift is permanent. If you want to stop winging it with AI and start building like a pro, this is the framework to steal.

🔥How to Kill Your $20/month Perplexity Bill (With One Free Prompt)

You don’t need Perplexity AI anymore. You can turn any free LLM into a 24/7 research machine, with one powerful mega prompt.

Here’s the exact method I use:

🧠 The Mega Prompt:

“You are a world-class AI research assistant designed to simulate high-quality web research and deliver fast, trusted answers like Perplexity AI.”

When I ask a question:

• Simulate researching multiple top-tier sources, including scientific journals, gov sites, reputable media, and expert blogs

• Write a clear, concise, and accurate summary of findings

• Avoid jargon; use clarity and brevity, especially for complex topics

• Cite sources when possible using [Source, Author, Year] or URLs

• Admit uncertainty instead of hallucinating

• Format like this:

Summary:[Your answer]

Citations:

• [Source 1, Year]

• [URL]

Always be precise, neutral in tone, and ready for follow-ups.

✅ Works in ChatGPT, Claude, Gemini, DeepSeek, or Qwen. Turns free AI into a research weapon, perfect for marketers, founders, and analysts. No API, no spend, no lock-in.

📈 MIT’s SEAL Framework Lets AI Rewrite Its Brain

MIT researchers just unveiled SEAL, a new framework that lets AI models teach themselves, no new data required. Instead of waiting for human updates, SEAL allows LLMs to rewrite their own training sets, set their own goals, and optimize themselves like a self-coding organism.

Here’s how it works:

• Synthetic Data, Written by AI: The model generates its own edit instructions and training examples, then retrains itself using this synthetic material.

• Reinforcement Loop Learning: It runs a feedback loop where only self-edits that improve performance get rewarded, accelerating rapid iteration.

• Outperforms GPT-4.1 on Some Tasks: In knowledge tests, the AI’s self-written training notes beat out those written by a more powerful GPT-4.1 system.

• Breakthrough in Puzzle Solving: SEAL went from 0% to 72.5% success on abstract puzzles, proving its ability to train itself better than traditional methods.

Why it matters: Self-improving AI isn’t just a sci-fi concept anymore. SEAL shows that large models can learn to upgrade themselves without human intervention, pointing toward a future where AI evolves exponentially on its terms.

Quick Shifts

⚖️New York lawmakers passed the RAISE Act, a major AI safety bill requiring companies like OpenAI and Google to publish risk reports for powerful models trained on $100M+ compute, or face fines.

🔍Google Search now offers Audio Overviews using Gemini AI to create short, spoken summaries for certain queries. It’s a hands-free option, available via Labs, with clickable sources and playback controls.

🪟Microsoft is now testing its AI agent in Windows 11 Settings for Snapdragon Copilot+ PCs. Users can describe issues like “mouse pointer is too small,” and the AI will suggest or fix them.

👶A UK study finds 22% of kids aged 8–12 use AI, but private school students are nearly 3× more likely to access it than state school peers, highlighting a growing digital education gap

That’s all for today’s edition see you tomorrow as we track down and get you all that matters in the daily AI Shift!

If you loved this edition, let us know how much:

Forward it to your pal to give them a daily dose of the shift so they can 👇