Since the topic came up in the whole "I run models locally so it's all fine" conversation:

[tante@tldr.nettime.org]

Since the topic came up in the whole "I run models locally so it's all fine" conversation:

"Open Source AI" does not meaningfully exist. It's just openwashing proprietary shit

Does Open Source AI really exist?

The OSI has presented their definition of Open Source AI and a closer reading only shows that "Open Source AI" probably just isn't a thing that can exist.

Smashing Frames (tante.cc)

[tante@tldr.nettime.org]

(I know there are niche attempts that work even worse than all the other models)

[malachai@furry.engineer]

@tante OMG thank you. "I run my model locally" has become the everlasting thoughtstopper for any #AntiAI comment. I'm becoming extremely irritated with that response.

[djgummikuh@mastodon.social]

@tante Open Source LLMs do not exist. I refuse to limit the definition of "AI" to only GenAI LLM Nonsense. And on the ML side you have a lot of OSS

[openhuman@mastodon.online]

@tante olmoe by Allen.ai and some Firefox things

[jmaris@eupolicy.social]

@DJGummikuh @tante there are a few in the works

[kitkat_blue@mastodon.social]

@tante

Meredith Whittaker explains *why* open source ai is simply a masquerade:

Open Source

The 2026 AI Impact Summit in India is the latest iteration of an event that has become a bellwether for global discourse around the AI industry, especially the question of whether, and how, it can be governed. But it also demonstrates how important ideas can be invoked in ways that dilute their meaning or co-opt their force. In this series—produced by AI Now Institute, Aapti Institute, and The Maybe—we bring together leading advocates, builders, and thinkers from around the world who live and breathe substance, analysis, and meaningful action into these ideas.

AI Now Institute (ainowinstitute.org)

"The key novelty of the current AI moment is the presence of concentrated amounts of data that had not been available before, and powerful distributed computational systems to process that data to train and perform inference on AI models."

1/

[kitkat_blue@mastodon.social]

@tante

cont'd

"Even with open-source AI, you still need huge amounts of data, labor, and infrastructure. They don’t challenge the concentration that includes distribution networks, economies of scale, entrenched reach, the ability to define the tooling and the standards, and so on. Claiming they do these things confuses and distracts us from the type of solutions we need."

/2 /end

[gulfie@yiff.life]

@tante it's like saying windows 11 is open source because it runs on your home computer

[csolisr@hub.azkware.net]

For instance, anything based on this specific corpus: huggingface.co/papers/2506.052…

[ghostonthehalfshell@masto.ai]

@tante

The thing that is giving me the greatest joy this morning when I woke up was watching Chris Noland and his wife discuss how people are openly rejecting data centers, and they show a short clip of people in the streets, breaking out in cries of joy when one person announced that the data center project had been rejected from their city

[yugthebug@mastodon.social]

@tante when ai is open source they just mean its proprietry and not on the cloud

[fritzadalis@infosec.exchange]

@tante @aburka
Now always closed open - but minded