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Anthropic just released Claude-mythos-5 .
While many people are focused on benchmarks and model rankings, I think the bigger lesson is something else.
Every new generation of AI is reducing the gap between having an idea and building a solution.
A few years ago, creating a product required a larger team, more time, and specialized skills across multiple areas.
Today, a single person can research, design, code, test, document, and launch faster than ever before.
Technology is no longer the biggest obstacle.
The real advantage comes from identifying meaningful problems, making good decisions, and taking consistent action.
AI continues to increase the speed of execution, but it cannot replace curiosity, ownership, and persistence.
The people who learn how to work effectively with AI will not simply become more productive. They will be able to create opportunities that were previously out of reach.
In the future, success may depend less on how much work you can do yourself and more on how well you can direct intelligent tools toward solving real problems.
Tools will continue to improve.
The question is whether we are improving with them.
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Hot take after talking with @Alli Minetti Labs from Contra Labs:
The future isnāt āAI designers.ā
Itās designers with AIāpowered workflows that:
- Speed up the tedious 10px moves
- Keep humans in the driverās seat
- Turn ideation into a superpower across web, brand, and video
New UnContrad episode with Alli is is now live.
watch here
Incredible!
Anthropic's Claude AI is officially building its own successors, triggering an explosive flywheel effect where AI models advance rapidly without needing any human direction!
A staggering 80% of Anthropic's production code is now fully written by Claude, boosting engineer output to a mind-blowing 8x higher than recent baselines.
The new "Claude Mythos Preview" achieved a jaw-dropping 52x speedup in optimizing AI training code, completely crushing the 4x improvement managed by skilled human engineers.
Operating with unprecedented independence, Claude-powered agents executed an entire AI safety research project and bridged a massive 97% of the performance gap on an ultra-complex problem.
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I've been testing a new app design workflow this weekend, and it feels fundamentally different from how I've worked for the past 20 years.
Normally my process looks something like:
Idea ā Sketch ā Figma ā Prototype ā Handoff ā Build
This time I skipped most of it.
I wanted to see how far I could come without Figma using Codex. My first prompt was simply:
"Create a meal-planning app using the Build-iOS-App plugin."
It built a full app for me, but the first version was very generic, so I gave it a few design references and some visual guidelines and asked it to generate 3 different design mockups. Codex generated new design directions, I picked one and it applied the directly to the working prototype.
Mindblown. But then I asked it to create a logo inspired by another food app.
It did and even implemented it into the app directly together with an app icon.Ā
No Figma involved.
As if this wasn't enough I was also testing a setup that exposes the iOS Simulator directly inside Codex using serve-sim.
That meant I could review the running app, click on areas I didn't like, leave comments such as "too much space here", and have Codex update the implementation directly.
No alt-tabbing between Xcode, simulator and Codex just to explain a simple detail.
Within about an hour I had a working prototype, visual design direction, branding, app icon, and multiple design iterations.
The quality wasn't perfect, but that's not what stood out to me.
What stood out was how little time I spent creating design artifacts.
Most of my time was spent reviewing, directing, and refining.
For early-stage product exploration, this felt less like designing screens and more like art directing a system.
I'm not convinced tools like Figma are going anywhere, but I do think workflows are changing much faster than most of us realize.
Has anyone else been experimenting with similar design-to-code workflows?
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