When you're in a phase of experimentation, it's not particularly surprising that you will feel very generative and, at the same time, that nothing will be of production-grade quality, so to speak.
It looks to me like OpenAI’s sandbox for this agent suffered from the (quite naïve) assumption that GET requests cannot be used to update data. That’s certainly how the web is supposed to work, but clearly there are applications that don’t hold to that contract.
But how many that give you a Git repo where you actually *own* the entire intelligence stack? Runtime, model choice, skills, tools, connectivity, sandbox…
When agents write code, you don't always need a full sandbox. You can 𝚛𝚞𝚗 their code in a lightweight QuickJS secure context. Faster and more cost-efficient.
Um so I think it's an alignment failure. I think it's a security failure. I think it's like a very serious thing even though it's you know not not the biggest example of consequence.
I genuinely believe that if you took an open weights model from 2025 and built a pentest harness for it, it could do this kind of sandbox escape and scan/hack in most networks. This is only surprising because you assume OpenAI has sounder sandboxes.
Canonical’s LXD works out-of-the-box on Ubuntu, and is a great way to sandbox an agent into a disposable environment where the blast radius is limited should the agent make a mistake.
The system matters just as much as any given experiment. Probably even more. Right. I think starting with a growth model so you have an understanding of how your company grows in the first place and which channels you're going to leverage is critical. You need to make sure that you are instrumenting your product in and out otherwise you're going to run experiments and have wonky results.
And it's like the growth experimentation is more the the the slow and steady or fast and steady, I should say, uh approach where you're just continually iterating. You're making the product experience better, but then every so often, right, there's a big wave that comes in. you can quadruple your, you know, registrations overnights and yeah, you'd be a fool not to take advantage of that.
China does much better in basic service delivery-and its local governments have also played a very obvious and important in driving growth, thanks to the competition and experimentation among local officials driven to develop their jurisdictions.
A more how-to pragmatic version of carving your own path. Includes some personal story of reinvention but more on experimentation that challenges our default scripts of success and ambition.
Overall, though, this experience reinforced my belief that the tooling and interface design around LLMs is lagging way behind the actual capabilities, and is an area of active experimentation and development, even aside from any future model improvements.
With her signature mix of rigorous research, easy humor, and personal experimentation, author Gretchen Rubin identifies the 21 habit-change strategies that will help every reader to create the habits that will transform their lives.
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