Rambles from near the front line.
AI slows down open source developers. Peter Naur can teach us why.
6 months to live for open models
The most serious test to date of open source AI’s viability is happening right now.
The Arguments Against Open Source AI are Very Bad | Tom Bedor's Blog
The release of Kimi K3 has opened a fresh round of angst and confused discourse. There's a loud cohort of journalists, business leaders, and politicians arguing that open source AI is a dangerous threat. OpenAI's Dean Ball:
Open source project contains hidden instruction for “AI” agents: delete my code
It’s no secret there’s a war going on inside the open source community, with people adopting “AI” on one side, and those that want nothing to do with it on the other. While the former are, by nature, using destructive tactics like mass website scraping, license washing, taking people’s creative works without permission, taking all the RAM and GPUs, and oh, destroying the planet, the latter have mostly stuck to fairly benign things like policies banning “AI” use, “AI” bot blockers, and the occasional honey pot mazes to trap “AI” crawlers.
Banning Open Source AI Would Be A Mistake
This post was originally an op-ed co-authored with Kevin Xu of Interconnected for a general, non-technical audience.
For Most of the World, Open-Source AI Is the Only Way Forward
Proprietary AI is both too expensive and too centralized in control for most countries and companies to rely upon.
Measuring the Impact of Early-2025 AI on Experienced Open-Source...
Despite widespread adoption, the impact of AI tools on software development in the wild remains understudied. We conduct a randomized controlled trial (RCT) to understand how AI tools at the...
Heaps do lie: debugging a memory leak in vLLM. | Mistral AI
The most powerful AI platform for enterprises. Customize, fine-tune, and deploy AI assistants, autonomous agents, and multimodal AI with open models.
OpenAI’s Hacking Debacle Comes Down to Human Error
If the generative AI giant had followed well-known security best practices, it’s likely that its AI agent would never have escaped to the open internet and hacked multiple companies.
A quote from Daniel Stenberg
The challenge with AI in open source security has transitioned from an AI slop tsunami into more of a ... plain security report tsunami. Less slop but lots of reports. …
How open source projects need to adapt to the AI coding era | We Love Open Source • All Things Open
A new Carnegie Mellon study shows AI coding tools boost velocity by 281% — then leave codebases harder to work with. Here's what open source communities need to do before the sugar rush wears off.
“Wait, not like that”: Free and open access in the age of generative AI
The real threat isn’t AI using open knowledge — it’s AI companies killing the projects that make knowledge free
Why AI is now important on Open Source - Scan's leaflet
If you can't fight them, join them
Open source was not ready for AI-speed contributions
AI did not create the maintainer burden problem in open source. It accelerated it. Contributors are being amplified, but maintainers are still the verification bottleneck.
Open source was not ready for AI-speed contributions
AI did not create the maintainer burden problem in open source. It accelerated it. Contributors are being amplified, but maintainers are still the verification bottleneck.
AI Slopageddon and the OSS Maintainers
AI slop is ripping up the social contract between maintainers and contributors essential to open source development. Practitioners have been repeatedly assured that AI would supercharge their communities, but so far that hasn’t been the case. Just look at what happened last month. Mitchell Hashimoto’s Ghostty implemented a zero-tolerance policy where submitting bad AI-generated code
