Inevitable AI Group
Anthropic built a model that can autonomously hack into 80% of the systems it encounters.
They named it Mythos. Then they put it in a vault.
No public release. Instead: $100 million in usage credits distributed to Amazon, Microsoft, Apple, Google, and Nvidia — Project Glasswing — for defensive cybersecurity testing only. The stated reason: it's too dangerous. The actual message: the capability ceiling just moved, and they can't unring that bell.
Here's what I think when I read that.
Not fear. Not concern about the future of civilization. Pure signal. :)
The Models You're Building on Today Are the "Safe" Versions
Claude 3.7. GPT-5.4. The APIs you're integrating right now — the ones everyone's racing to build products on — those are the models the labs decided were okay to let out into the world.
Mythos exists. Which means the actual frontier is way ahead of what any of us are building on today.
That gap closes. It always has. The pattern is predictable: labs build something too powerful, run a controlled partner program with the biggest tech companies in the world, smooth the edges, then release a version 18 months later. We've seen this cycle before. Mythos is just the current iteration.
So if you're a builder and "AI too dangerous to release" sounds like a warning — you're reading it wrong.
The right read: you have 12–18 months before the next capability wave hits mass market. Build now.
The Builder's Window Doesn't Wait for Better Models
We started IAIG on a specific thesis: proven SaaS markets are wide open for AI-native versions. The incumbents built for a world that no longer exists. They're sitting on 20 years of technical debt, defending per-seat pricing to customers who've run out of alternatives.
Until now.
A two-person team in 2026 can build software that would have required a 100-person engineering team three years ago. The AI-native version of almost any B2B category does more, costs less, and ships in weeks instead of years. The per-seat model is already breaking down — and incumbents are too deep in their own pricing model to notice until it's too late.
Anthropic's announcement doesn't change that thesis. It accelerates it.
Every "too dangerous to release" headline confirms the same thing: the trajectory isn't slowing. If anything, it's bending faster. The models available in 18 months will make the stuff available today look like a prototype.
Builders who move now own distribution before the wave hits. That's how these windows work. The recovery in SaaS stocks doesn't change the structural shift — it just gives the incumbents a few more months of false comfort.
What Anthropic Actually Announced (If You Read Past the Headline)
Project Glasswing is a $100M bet that AI will find and fix vulnerabilities faster than attackers can exploit them. They're right — that's how every defensive tool works. You need a better hacker than your attacker.
The same logic applies to software markets.
The AI-native version of any B2B category will find efficiencies the legacy version can't. It will do in seconds what used to take hours. It will make the old pricing look like it was extracted from customers who had no better option — because they didn't.
The customer who paid $55 per agent per month for customer support software didn't love the product. They had no better option. Now they do.
The Danger Framing Is a Distraction
Every time a major lab drops a "responsible AI" announcement, the conversation turns to risk. Regulation. Existential danger. The ethics of building powerful systems.
Fine. Important conversation. Someone has to have it.
But while that conversation is happening, the underlying capability keeps moving. Models get more powerful regardless of the press release. The labs aren't stopping — they're governing the rollout.
Which means the real question isn't "is AI dangerous?" It's: who's building the products that actually use these capabilities when they land?
That's what we're focused on.
What We're Doing About It
We're not waiting for Mythos. We're building on the models that exist today — because today's models are already way, way ahead of what most legacy software was built to handle.
corebee.ai resolves customer support tickets without human intervention. spiceform.com builds forms that adapt to every user in real time. overboard.studio is the AI-first whiteboard Miro would have built if they started in 2026. mahakala.app is AI-native scheduling for a dollar a month.
Each one started with the same question: what's the AI version of what the market is already paying for?
That question gets easier to answer every week. Anthropic just made it a little easier again.
The most bullish AI announcement isn't the one that says "we built something too good to ship." It's the one that confirms: the models are ahead of the market.
That gap is the builder's window. It's wide open.
If you want to build inside it, we're looking for the next CEO.