Hey hustlers,

Let's address the elephant in the inbox.

We went quiet. For way too long. No emails, no updates, just silence.
And honestly? We thought about not coming back at all.

But then we looked at what happened in AI while we were gone. And wow. The entire game changed.
Models got insanely powerful. AI agents started doing actual work on their own. Investors threw a quarter trillion dollars at AI companies in just 90 days.
New tools are launching every single day.

It got overwhelming. Even for us.

So we asked ourselves: what would genuinely help people make sense of all this?
That's what you're reading right now.

Here's the deal. Every issue, you get:

→ Some AI stories that actually matter (not another 15 headlines you'll scroll past and forget)

→ The best resources we found that week. Could be an AI tool, a GitHub repo, a cheatsheet, a YouTube video. Whatever is genuinely worth your time, it goes here.

→ One research paper, explained like we're telling a friend about it over coffee. No jargon. Plus the link so you can read it yourself.

Let's get into our first one.

Apple is testing four different frame designs for its AI smart glasses, set to launch in 2027. Unlike Meta's Ray-Ban glasses, Apple is going "screenless", relying on voice and haptics instead of visual displays.

Why you should care: AI is moving from your phone to your face. The next computing platform is being decided right now.

Stanford's 2026 AI Index Report dropped on April 13. The big finding: China has closed the gap with the US on nearly every AI metric. Public trust in AI oversight is also hitting new lows.

Why you should care: The AI tools you use next year will come from two competing ecosystems, each with different rules and philosophies.

A PwC study released April 13 shows that 75% of AI's economic gains are captured by just 20% of companies. Everyone else is stuck in pilots and experiments.

Why you should care: Having AI tools isn't the advantage anymore. Speed of using them is. Execution matters more than innovation right now.

Read more: https://www.pwc.com/gx/en/news-room/press-releases/2026/pwc-2026-ai-performance-study.html

🔧 AI Tool: Hermes Agent v0.8.0 Nous Research's self-improving AI agent that runs on your own server, remembers your interactions, and builds skills over time. Just hit 40K GitHub stars.

🐙 GitHub Repo: Karpathy Skills for Claude Code - A single CLAUDE.md file that makes Claude Code work way better, based on Andrej Karpathy's observations of common AI coding mistakes. 13K stars in days. →

🎬 YouTube: Over 50 Insane Ways To Use The New ChatGPT by Matt Wolfe

Matt Wolfe walks through 50+ creative ways to use ChatGPT's latest image and design capabilities. From generating thumbnails to designing rooms to creating pixel art. Even if you've been using ChatGPT for a while, this video will show you things you didn't know it could do.

The AI Scientist-v2: An AI System That Can Do Scientific Research On Its Own

This one is wild.

What they built: An end to end system called AI Scientist-v2 that uses something called agentic tree search. Think of it as an AI exploring hundreds of possible research paths simultaneously and picking the most promising ones to pursue deeper.

What they found: They submitted three fully AI generated papers to a real peer reviewed workshop at ICLR (one of the top AI conferences). One of them scored high enough to pass the acceptance threshold. First time that's ever happened.

Why it's interesting: This doesn't replace human scientists. But imagine drug discovery, climate research, or materials science moving 10x faster because AI can run thousands of experiments that humans simply don't have time for. That future just got a lot closer.

📎 Read the paper: https://arxiv.org/abs/2504.08066

We almost didn't send this email. Months of silence does that to you. You start thinking nobody's waiting, nobody noticed, why bother coming back.

But then we remembered why we started this in the first place. AI is moving fast and most people feel left behind. Not because they're not smart enough, but because nobody's making it simple enough.

That's the job. That's what we're here for. And we're not going quiet again.

Glad to be back. Glad you're still here.

If this was useful, forward it to someone who keeps saying "I really need to learn about AI." You'd be doing them a favour.

Hit reply and tell us: what's the one AI topic you wish someone would just explain properly? We'll cover the best ones in upcoming issues.

See you in the next one ✌️

Passive Income Habit