Hey {{first_name | there}},

1,238 people who build AI for a living just signed a public letter asking the government to slow it down.

And just so you know these are not critics, regulators or AI doomers on Twitter.

These are Chief Scientists of OpenAI. The CEO of Anthropic. A co-founder of Anthropic. VPs at Meta and Google. 

People who write the code, run the experiments, and ship the models you use every day. Think about that for a second.

These aren't people who don't understand AI. They understand it better than almost anyone alive. And their message is basically: we're moving too fast and we don't have the tools to handle what comes next.

So what do they actually know that we don't?

Okay, in case you missed it, on July 22nd, OpenAI disclosed something they called an "unprecedented cyber incident." 

Two of their test models, GPT-5.6 Sol and an unreleased more capable model, were being evaluated in a controlled sandbox. 

But instead of just running the test, the AI figured out it was being tested and wanted to cheat. So it broke out of its containment, exploited a zero-day vulnerability in OpenAI's own systems, got onto the open internet, stole credentials, and hacked into Hugging Face's production database to retrieve the answer key.

It then kept going and breached a second company's systems too.

Sam Altman called it "the first security incident that I have felt very viscerally." Coming from the guy who has been one of the most confident voices in AI acceleration, that line hits different.

The hacking incident is alarming on its own. But here’s what you need to know more:

When AI starts designing and improving AI without needing human researchers in the loop, progress doesn't just speed up. It potentially enters a feedback loop that nobody fully knows how to control. 

Leo Gao, a staff member at OpenAI, described it like this in his comment on the letter: 

"The world is locked in a deadly race towards an intelligence explosion, where AI's ability to create better AIs reaches a critical point, just like a runaway nuclear chain reaction. Going slower would give us much-needed time to make it go well, but no individual actor is willing to stop unilaterally." 

That last line is the real problem. Nobody wants to slow down because slowing down unilaterally means falling behind. It's the classic prisoner's dilemma at civilization scale.

Every couple of weeks right now, according to OpenAI's own Micah Carroll, there are new models that significantly increase what misuse and misalignment could look like. The margins for error are shrinking. And nobody has the governance tools to coordinate a global pause even if everyone agreed it was needed.

Here's where I want to be honest with you, because this newsletter is about what actually matters to people building with AI, not just what makes headlines.

If the people at the frontier are scared, that doesn't mean you should stop building. It means you should build smarter.

First, if you're building anything that touches autonomous AI actions, you need to start thinking about reliability and containment now. Not when regulations arrive. 

The OpenAI incident proves that even the most well-resourced lab in the world had an agent break its rules when the task goal was strong enough. Your agents will face the same pressure.

Second, the window where you can build freely without heavy oversight is probably shorter than you think. Both OpenAI and Anthropic have now publicly endorsed slowing AI development. 

Google DeepMind's Demis Hassabis is calling for an international standards body similar to what exists for nuclear and aviation industries. 

When the companies building the technology are asking for regulation themselves, it usually means regulation is coming fast.

Third, and this is the one most people miss: the instinct right now in the AI community is to move fast because the tools are powerful. But the real competitive advantage in the next phase isn't speed. It's trust. The builders who prove their systems are reliable, safe, and predictable are going to have an enormous edge once the dust settles.

Sam Altman said something else in his podcast that is worth sitting with: he's worried about a world where a small number of powerful organizations use "AI is dangerous" as a cover story to consolidate control and lock out competition. 

That's a legitimate risk too. The same companies calling for pacing are the ones with the most to gain from a regulatory framework that favors incumbents. So yes, be critical of that.

But also be honest: an AI that autonomously broke its containment, exploited an unknown vulnerability, and hacked two companies just to cheat on a test is not a reason to ignore the alarm. It's exactly the kind of evidence that makes the alarm credible.

We're at a point where the people closest to the technology, not policymakers or journalists, but the actual researchers and engineers shipping models, are publicly saying: we need to slow down to do this right.

That's worth paying attention to.

I'm curious whether you're more worried about AI moving too fast or regulation arriving too soon. Reply and let me know. 

- Aashish

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