Hi fam! 👋
One of the most fascinating things about AI right now is that every week seems to bring a new battleground.
A few months ago, everyone was talking about models. Then it was agents. Now the conversation is spreading across everything from AI-powered software development and robotics to chips, infrastructure, and creative tools.
Meanwhile, one question keeps popping up:
As AI gets better at doing things for us, what skills should we still invest time learning ourselves?
The future of AI feels Like Magic, and it’s here!
The AI world isn't taking the summer off. companies continue to pour billions into infrastructure, while the next generation of AI agents moves closer to becoming part of everyday work.
Here are the stories that caught our attention this week.
At WWDC 2026, Apple unveiled its long-awaited Siri AI upgrade. The new version promises more natural conversations, deeper personalization, and tighter integration across Apple devices.
Why this matters: Apple has been criticized for falling behind in AI. This is its clearest attempt yet to catch up.
OpenAI launched Sites, a new Codex feature that can create and deploy internal web apps directly from text prompts. Employees can describe what they need and generate working tools without traditional development workflows.
Why this matters: AI is increasingly moving from content generation to software creation and business automation.
NVIDIA introduced Cosmos 3, a new foundation model designed specifically for physical AI and robotics applications. The company says it will help robots better understand and interact with the real world.
Why this matters: The next AI revolution may not happen on screens—it may happen in the physical world.
Alphabet announced a massive $80 billion fundraising plan aimed largely at expanding AI infrastructure and data center capacity as demand for AI services continues to surge.
Why this matters: The AI race is increasingly about infrastructure. The companies with the most computing power may have the biggest advantage.
Perplexity introduced new collaboration tools that allow teams to share research spaces, organize findings, and work together on AI-assisted research projects.
Why this matters: AI search is evolving from an individual productivity tool into a collaborative workspace.
Midjourney previewed upcoming features aimed at maintaining character consistency across multiple images and scenes, one of the most requested features from creators.
Why this matters: Creating a single great image is no longer enough. The next challenge is generating entire visual stories with consistent characters and styles.
Let AI Interview You 🎙️
Instead of grilling the AI for answers, let it interview you.
When you ask for quick fixes, you get generic, surface-level advice. AI needs context to be truly useful. Next time you start a new project or marketing plan, drop this prompt first:
"Interview me to determine the best strategy for [your goal]. Ask one question at a time."
The result? It forces you to clarify your resources, constraints, and goals before generating ideas. You get a bulletproof plan tailored to your exact situation, not a recycled template.
The best way to get a better answer? Let the AI ask the questions.
Are You Optimizing for the Wrong Thing? Focus on the Right Goals with AI
What if the reason you're stuck isn't because you're doing too little—but because you're optimizing for the wrong thing?
In this week's 99% More Efficient, we explore a simple AI prompt that can completely change how you approach goals, projects, productivity, content creation, and even business decisions:
"Am I optimizing for the wrong thing?"
Using real-world examples—from growing a newsletter and social media accounts to learning AI and improving business processes—we show how AI can help uncover the hidden assumptions behind your goals and identify the metrics that actually matter.
Because sometimes the biggest productivity gain doesn't come from doing something better.
It comes from realizing you should be doing something else entirely.
👉 Read the full article: Focus on the Right Goals with AI
From the Archive: Is AI using your face?
As AI becomes more powerful, one question hasn't gone away:
What happens to the photos and information we share online?
Back in 2024, we explored how AI systems use publicly available images, what happens when your face appears in training data, and why privacy concerns were becoming increasingly important.
Two years later, with AI-generated videos, digital avatars, and increasingly capable AI models, the conversation feels even more relevant.
If you've ever wondered what AI companies can actually learn from the content we post online, this article is still worth a read.
Text generation | Image Generation | LMAI recommends |
|---|---|---|
Like Magic AI NFT 🏞️
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Thank you for being a valued subscriber. Together, let's embrace the magic of AI and creativity!
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