Artificial Intelligence

286 Articles

This is an image that would have been difficult to chroma key by hand.

CorridorKey Is What You Get When Artists Make AI Tools

March 18, 2026 by 45 Comments

You may not have noticed, but so-called “artificial intelligence” is slightly controversial in the arts world. Illustrators, graphics artists, visual effects (VFX) professionals — anybody who pushes pixels around are the sort of people you’d expect to hate and fear the machines that trained on stolen work to replace them. So, when we heard in a recent video that [Niko] of Corridor Digital had released an AI VFX tool, we were interested. What does it look like when the artist is the one coding the AI?

It looks amazing, both visually and conceptually. Conceptually, because it takes one of the most annoying parts of the VFX pipeline — cleaning up chroma key footage — and automates it so the artists in front of the screen can get to the fun parts of the job. That’s exactly what a tool should do: not do the job for them, but enable them to enjoy doing it, or do it better. It looks amazing visually, because as you can see in the embedded video, it works very, very well.

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Controlling Vintage Mac OS With AI

March 12, 2026 by 11 Comments

Classic Mac OS was prized for its clean, accessible GUI when it first hit the scene in the 1980s. Back then, developers hadn’t even conceived of all the weird gewgaws that would eventually be shoehorned into modern operating systems, least of all AI agents that seem to be permeating everything these days. And yet! [SeanFDZ] found a way to cram Claude or other AI agents into the vintage Mac world.

The result of [Sean]’s work is AgentBridge, a tool for interfacing modern AI agents with vintage Mac OS (7-9). AgentBridge itself runs as an application within Mac OS. It works by reading and writing text files in a shared folder which can also be accessed by Claude or whichever AI agent is in use. AgentBridge takes commands from its “inbox”, executes them via the Mac Toolbox, and then writes outputs to its “outbox” where they can be picked up and processed by the AI agent. The specifics of how the shared folder work are up to you—you can use a network share, a shared folder in an emulation environment, or just about any other setup that lets the AI agent and AgentBridge access the same folder.

It’s hard to imagine any mainstream use cases for having a fleet of AI-controlled Macintosh SE/30s. Still, that doesn’t mean we don’t find the concept hilarious. Meanwhile, have you considered the prospect of artificial intelligence running on the Commodore 64?

Ask Hackaday: What Will An LLM Be Good For In The Plateau Of Productivity?

March 9, 2026 by 73 Comments

A friend of mine has been a software developer for most of the last five decades, and has worked with everything from 1960s mainframes to the machines of today. She recently tried AI coding tools to see what all the fuss is about, as a helper to her extensive coding experience rather than as a zero-work vibe coding tool. Her reaction stuck with me; she referenced her grandfather who had been born in rural America in the closing years of the nineteenth century, and recalled him describing the first time he saw an automobile.

Après Nous, Le Krach

The Gartner hype cycle graph. Jeremykemp, CC BY-SA 3.0.

We are living amid a wave of AI slop and unreasonable hype so it’s an easy win to dunk on LLMs, but as the whole thing climbs towards the peak of inflated expectations on the Gartner hype cycle perhaps it’s time to look forward. The current AI hype is inevitably going to crash and burn, but what comes afterwards? The long tail of the plateau of productivity will contain those applications in which LLMs are a success, but what will they be? We have yet to hack together a working crystal ball, but perhaps it’s still time to gaze into the future. Continue reading “Ask Hackaday: What Will An LLM Be Good For In The Plateau Of Productivity?” →

A Live ISO For Those Vibe Coding Experiments

March 5, 2026 by 18 Comments

Vibe coding is all the rage at the moment if you follow certain parts of the Internet. It’s very easy to dunk upon it, whether it’s to mock the sea of people who’ve drunk the Kool-Aid and want the magic machine to make them a million dollar app with no work, or the vibe coded web apps with security holes you could drive a bus through.

But AI-assisted coding is now a thing that will stick around whether you like it or not, and there are many who want to dip a toe in the water to see what the fuss is about. For those who don’t quite trust the magic machines in their inner sanctum, [jscottmiller] is here with Clix, a bootable live Linux environment which puts Claude Code safely in a sandbox away from your family silver.

Physically it’s a NixOS live USB image with the Sway tiling Wayland compositor, and as he puts it: “Claude Code ready to go”. It has a shared partition for swapping files with Windows or macOS machines, and it’s persistent. The AI side of it has permissive settings, which means the mechanical overlord can reach parts of the OS you wouldn’t normally let it anywhere near; the point of having it in a live environment in the first place.

We can see the attraction of using an environment such as this one for experimenting without commitment, but we’d be interested to hear your views in the comments. It’s about a year since we asked you all about vibe coding, has the art moved forward in that time?

Building A Dependency-Free GPT On A Custom OS

March 3, 2026 by 8 Comments

The construction of a large language model (LLM) depends on many things: banks of GPUs, vast reams of training data, massive amounts of power, and matrix manipulation libraries like Numpy. For models with lower requirements though, it’s possible to do away with all of that, including the software dependencies. As someone who’d already built a full operating system as a C learning project, [Ethan Zhang] was no stranger to intimidating projects, and as an exercise in minimalism, he decided to build a generative pre-trained transformer (GPT) model in the kernel space of his operating system.

As with a number of other small demonstration LLMs, this was inspired by [Andrej Karpathy]’s MicroGPT, specifically by its lack of external dependencies. The first step was to strip away every unnecessary element from MooseOS, the operating system [Ethan] had previously written, including the GUI, most drivers, and the filesystem. All that’s left is the kernel, and KernelGPT runs on this. To get around the lack of a filesystem, the training data was converted into a header to keep it in memory — at only 32,000 words, this was no problem. Like the original MicroGPT, this is trained on a list of names, and predicts new names. Due to some hardware issues, [Ethan] hasn’t yet been able to test this on a physical computer, but it does work in QEMU.

It’s quite impressive to see such a complex piece of software written solely in C, running directly on hardware; for a project which takes the same starting point and goes in the opposite direction, check out this browser-based implementation of MicroGPT. For more on the math behind GPTs, check out this visualization.

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AI Assistant Uses ESP32

February 27, 2026 by 22 Comments

Having an AI assistant is all the rage these days, but AI assistants usually don’t know about your automation setups and may have difficulty dealing with tasks asynchronously. Enter zclaw. It gives you the option to have a personal assistant on an ESP32 backed by Anthropic, OpenAI, or OpenRouter. The whole thing fits in 888KB, and while it doesn’t host the LLM, it does add key capabilities to monitor and control devices connected to the ESP32.

You communicate with the assistant via telegram. You can say things like “Remember the garage sensor is on GPIO 4.” Then later you might say: “In 20 minutes, check the garage sensor and if it is high, set GPIO 5 low.” It has an RTOS for scheduling tasks and is aware of the timezone and common periods. Memory persists across reboots, and you can pick different personas.

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A grim reaper knocking on a door labelled "open source"

What About The Droid Attack On The Repos?

February 22, 2026 by 36 Comments

You might not have noticed, but we here at Hackaday are pretty big fans of Open Source — software, hardware, you name it. We’ve also spilled our fair share of electronic ink on things people are doing with AI. So naturally when [Jeff Geerling] declares on his blog (and in a video embedded below) that AI is destroying open source, well, we had to take a look.

[Jeff]’s article highlights a problem he and many others who manage open source projects have noticed: they’re getting flooded with agenetic slop pull requests (PRs). It’s now to the point that GitHub will let you turn off PRs completely, at which point you’ve given up a key piece of the ‘hub’s functionality. That ability to share openly with everyone seemed like a big source of strength for open source projects, but [Jeff] here is joining his voice with others like [Daniel Stenberg] of curl fame, who has dropped bug bounties over a flood of spurious AI-generated PRs.

It’s a problem for maintainers, to be sure, but it’s as much a human problem as an AI one. After all, someone set up that AI agent and pointed at your PRs. While changing the incentive structure– like removing bug bounties– might discourage such actions, [Jeff] has no bounties and the same problem. Ultimately it may be necessary for open source projects to become a little less open, only allowing invited collaborators to submit PRs, which is also now an option on GitHub.

Combine invitation-only access with a strong policy against agenetic AI and LLM code, and you can still run a quality project. The cost of such actions is that the random user with no connection to the project can no longer find and squash bugs. As unlikely as that sounds, it happens! Rather, it did. If the random user is just going to throw their AI agent at the problem, it’s not doing anybody any good.

First they came for our RAM, now they’re here for our repos. If it wasn’t for getting distracted by the cute cat pictures we might just start to think vibe coding could kill open source. Extra bugs was bad enough, but now we can’t even trust the PRs to help us squash them!

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