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 it actually means that if you take the median programmer and their pull requests towards an average open source project, they're already getting outclassed by agents. I would rather get an agent-written pull request to one of my projects than I'd get one written by a human, and it's not just because the quality's better. It's also because I feel a lot less bad if I just reject it.
So, in my opinion, this is the absolute best time to ever have been an open source software maintainer. Not only do we get this wealth of glorious pull requests made by agents with all the boxes ticked, we also get to tap into a creativity of people who did not have access to contribute to a project before.
It's like they have all the wisdom of their most senior engineers looking at every single diff and that is fantastic. Which means that you don't have to worry about remembering and looking and nitpicking and all the things that we're not good at anyway
And so, every, you know, every week, we had actual customer feedback, requests, new users coming in. We're learning things from reality as opposed to our own kind of hypothesized or extrapolated conception of it.
And often I found with my clients I have to tell them like it's doing a good job at generating the actual design, but in actually expressing what the design is supposed to do, it cannot do that yet. You have to do that part yourself.
Because the model can do this at every given model generation, but there is often not a product that lets the model do this and lets it express this kind of ability to do this.
which is why when I see manifestos today I'm just like too soon. Not a bad idea. Would love to have one just too soon. It took 15 years for the technical change of object-oriented programming to come before we could say here are the consequences of it. Here's how in a simple way we can express how to effectively use this technology that we've been using day in and day out for 15 years. The genie comes along. People are like, "Well, what's the new manifesto? It's just not manifesto time yet.
And what you see when we work with them internally is now they're just like they're just making pull pull requests. Like they don't they don't need to hand it off as much. Sometimes they do but like a lot of times they just make pull requests and it's like the thing is built and that's it and I think that's incredible for the way that companies work
Maybe as AI writes more and more code of our code, it's less about like the details of how you express logic in a particular programming language and much more about those kinds of high-level trade-offs.
projects are flooded with junk contributions at the moment to the point that people are trying to convince GitHub to disable pull requests, which is something GitHub have never done.
Being a great listener when people speak. Deep insights about understanding, connection, helping people express themselves, overcoming assumptions, the ethics of gossip, and more. Specific techniques for the support response, encouraging elaboration, and keeping it balanced. You can’t be ethical without being a good listener. When people say, “I can’t talk right now,” what they really mean is “…
One of the most common requests I receive is for resources to become a better storyteller. In this book, award-winning novelist Will Storr looks at how the brain responds to stories, and how to captivate your audience and connect with their emotions.
Today, we are constraining the models, the models can't quite express themselves in terms of the UI to people. But if you think about it, we've kind of boxed them in that way, but given these models can code, they should be able to write the best interfaces to express their ideas over time.
It's just that Zig, C, C++, all those languages that were being tested, they're all LLVM backends, right? That's the one that actually turns the thing into the executable part. And if there's a variation in speed, it just means in one language you didn't quite express what you are supposed to correctly.
We ought to be especially careful in the cases where what we delegate to a device, app, agent, or system is an aspect of how we express care, cultivate skill, relate to one another, make moral judgments, or assume responsibility for our actions in the world
The app costs a few dollars up front and then has an optional subscription for unlimited requests, but I would recommend going directly to OpenAI’s developer dashboard, creating your own account, and copy/pasting your own API key into Petey.
Partly because of another book that nearly made it onto my list: Domain-Specific Languages by Martin Fowler. It talks about the idea of writing a small language inside another language, to express ideas in a specific domain
For me, a good prototype expresses a single idea or tests a single hypothesis, so a prototype is actually a great container for a creative prompt, which typically takes the form of a single encapsulated concept or provocation.
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