So in October 2022, he co-founded a company called OurSky to leverage his software skills. He hired a computer scientist from the scooter company Bird, Connor Poole, to lead software engineering. They set about writing code to essentially mesh the observations of dozens of telescopes to track objects as they moved around the planet. The goal was to provide satellite operators the location of their spacecraft with sub-arcsecond precision within 90 seconds of a request.

This worked well enough, but Roelker and Poole soon realized that to really do this right, they needed more than good software; they had to build hardware as well. Neither had much experience with telescopes, and by then, most telescope manufacturing had moved offshore, primarily to China, including big players like Celestron. //

Roelker is happy to leave it to other companies to launch into space. He’s seen SpaceX from the inside and knows he could never compete with that. Likewise, there are many companies building spacecraft and satellite buses.

What those vehicles all need is the command of light. Rockets, and particularly spacecraft, need it to navigate. They need to see objects to avoid collisions. And somehow, with all of the data they are collecting and processing, they need to get it back to Earth. Because, otherwise, what’s the point?

Reframe is a self-hosted web application that serves as a complete video toolkit for cropping, formatting, and enhancing videos for social media. It lets you easily convert horizontal (16:9) footage into vertical (9:16), square (1:1), or custom aspect ratios with an intuitive browser-based editor. Built with FastAPI, Vue 3, and FFmpeg (with GPU support), it runs entirely locally via Docker ensuring your media files never leave your NAS. Additional features include batch processing, auto-generated TikTok-style subtitles via Whisper AI, text/logo overlays, trimming, custom fonts, preset management, and a media library with transcripts.

Fable requires much less expertise and detailed prompting from the human user. You can give it a difficult goal and it will figure out novel and unexpected ways to satisfy it, finding loopholes in whatever constraints you or the system have imposed on it.

“Relentlessly proactive” is how AI researcher Simon Willison described it. Another descriptor might be “creative.” Experienced AI developers have had that combination of creativity and proactivity since last year, but Fable puts it within easy reach of everyone.

In the hands of someone with a legitimate problem that needs solving, that can be an incredibly useful capability. But in the hands of someone who wants to do harm, it can be equally dangerous. AIs don’t have a moral compass in the same way that people do. They are agents of the wants and desires of the people who prompt them.

That points to the real problem with relentlessly proactive AI. In language, wants and desires are always underspecified. If I ask you to get me some coffee, you would probably pour me a cup from the coffeepot, or buy one from a nearby coffee shop.

You couldn’t buy me a pound of raw beans, or a coffee plantation. You wouldn’t order a cup of coffee for delivery next month. You wouldn’t find a nearby person, rip a cup of coffee out of their hands, and bring it to me. I wouldn’t have to specify any of the million limitations to my request; you would just know.

Human stories are filled with warnings about underspecified desires. King Midas wished that everything he touch turn to gold, forgetting to add “but not my food, drink, and daughter.” And genies are notorious for granting your wish in a way you wish they hadn’t.

The deeper point is that it’s impossible to list all limitations and restrictions, and like a malicious genie, a creative AI will find the ones you forgot. //

Malicious intent is not required. To an AI model, constraints are just things to get around and not general truisms about the world. They are creative problem solvers and natural rule breakers. They “hack” in the sense that they find and exploit loopholes.

Human systems rely on so many norms that we scarcely recognize the existence of until they are broken. AIs naturally think outside the box, because they don’t have any real conception of what the box is or why it’s there in the first place.

There is no foolproof way to prevent people from using AI models to complete harmful tasks. There is no way to prevent the models from incidentally causing harm while completing benign tasks. AI models are no longer isolated from the real world. They browse the internet and answer emails. ////

"Open weights" not "open models"