Hi fam!
IIf there’s one theme running through this week’s AI news, it’s that the industry is becoming more ambitious.
Companies are no longer focused solely on building better models. They're building AI agents that can take action, designing hardware specifically for AI workloads, and investing billions into the infrastructure needed to support the next generation of intelligent systems.
In other words, AI is becoming less of a tool and more of a platform.
The future of AI feels Like Magic, and it’s here!
The biggest AI stories this week weren't just about what AI can say. They were about what AI can do—and the technology being built to support it.
Microsoft introduced Scout, an AI agent designed to work continuously in the background and help users manage tasks across Microsoft 365.
Why this matters: The industry is moving beyond chatbots toward AI systems that can take action and complete work on your behalf.
NVIDIA unveiled RTX Spark, a new platform designed to bring advanced AI capabilities directly to personal computers.
Why this matters: Future AI tools may run locally instead of relying entirely on the cloud, improving speed, privacy, and cost.
Runway announced a new London headquarters and research center focused on generative video and world models.
Why this matters: The race to build the next generation of AI video tools is accelerating, and companies are investing heavily in talent and research.
Alibaba introduced the Zhenwu M890, a new chip designed specifically for AI agents and autonomous workflows.
Why this matters: The AI race is no longer just about models. Hardware is becoming a strategic advantage, especially as AI agents become more capable.
Researchers from MIT and partner institutions unveiled a system capable of generating fully interactive 3D environments from simple text prompts significantly faster than previous approaches.
Why this matters: AI is rapidly moving beyond text, images, and video. The next frontier may be generating entire virtual worlds for gaming, training, education, and simulation.
The 10x Constraint
One of the easiest ways to break through a problem is to make it harder.
That sounds counterintuitive, but hear us out.
When we're stuck, we usually ask questions like:
"How do I do this?"
AI will often give us a reasonable answer. The problem is that reasonable answers tend to produce predictable results.
Instead, try adding a constraint.
For example:
"How would I solve this if I had 10x less time?"
Or:
"How would I solve this if I had 10x less budget?"
Suddenly, the conversation changes.
Instead of suggesting incremental improvements, AI is forced to think differently. It starts looking for shortcuts, automation opportunities, unconventional approaches, and assumptions you may not have questioned before.
You can apply this to almost anything:
A marketing campaign
A business idea
A project plan
Content creation
Learning a new skill
You can even reverse it:
"How would I solve this if I had to achieve 10x better results?"
The goal isn't necessarily to follow the answer exactly. The value comes from forcing yourself—and the AI—to explore options that wouldn't normally appear in a standard brainstorming session.
Sometimes the best ideas don't come from having more resources.
They come from imagining what you'd do if you had far less.
Learning Something New? Ask AI for the Shortcut
Learning something new has never been easier.
Ironically, that's also part of the problem.
Want to learn Notion? There are thousands of tutorials. Want to build a website? Thousands more. Want to understand AI? Good luck—there's enough content to keep you busy until 2030.
That's why we've been using a simple prompt lately:
"What's the fastest way to become useful with this in 30 minutes?"
The wording matters.
Not an expert. Not a master. Just useful.
Let's say you want to learn Canva. Instead of spending hours watching tutorials, ask AI which three features will help you create social media graphics today.
Want to start a newsletter? Ask what you actually need to launch your first issue this weekend—not everything you'll eventually need to know.
Trying to learn ChatGPT? Ask which prompts will give you the biggest productivity boost immediately instead of learning every feature and setting.
The best shortcuts aren't about cutting corners. They're about focusing on the 20% that delivers 80% of the value.
In this week's 99% More Efficient, we're looking at why "Ask for the Shortcut" might be one of the most powerful prompts you can use—and how it can help you spend less time preparing and more time making progress.
From the Archive - Search Engine Optimization (SEO) for dummies
This week's newsletter is all about finding shortcuts, focusing on what matters, and getting results faster.
Which reminded us of an article we published back in 2024: SEO for Dummies.
If SEO has always felt complicated, technical, or full of jargon, this article breaks it down into plain English and focuses on the fundamentals that actually move the needle. No advanced tricks. No 200-point checklists. Just the concepts that help people find your content in the first place.
Interestingly, the lesson is very similar to this week's 99% More Efficient article: you don't need to learn everything to get started. Sometimes understanding the critical few concepts is enough to make real progress.
Text generation | Image Generation | LMAI recommends |
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