Mozilla Wants to Build a ‘Rebel Alliance’ for Open-Source AI

tech

Mozilla Wants to Build a ‘Rebel Alliance’ for Open-Source AI

Mozilla, the non-profit behind the Firefox browser, is reinventing itself as a champion of open-source AI, in what its president Mark Surman says is an attempt to build a “Rebel Alliance” resisting the concentration of power in the tech industry.

TL;DR

Mozilla is shifting its focus to champion open-source AI.
The organization aims to create a "Rebel Alliance" to resist power concentration in tech.
A new report from Mozilla argues for investment in AI "harnesses" and other ecosystem layers, not just models.
The report's claims about open-source AI capabilities being close to closed models are questioned.
Concerns are raised about the report's limited acknowledgment of open-source AI risks, such as deepfakes and cybersecurity flaws.
Mozilla may be planning to release its own AI harness in the future.
The "evil empire" in Mozilla's analogy represents centralized, winner-takes-all tech companies.

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Yann LeCun reposted

Matt Rouif

Independence is a choice — and one of the most important ones we’ve made at @photoroom_ML .

We partner with the biggest labs when it’s the right move. But we also train our own open-source foundation model: PRX, a text-to-image model built in Europe with the support of the French government through France 2030.

That combination is the whole point. Independence isn’t about doing everything yourself. It’s about control and choice. Using the best available technology when it makes sense, while owning the parts that truly matter: the architecture, the training design, and the full data pipeline underneath.

This independence is what keeps us future-proof. It means we can always offer our users the best possible solution, no matter what comes next.Our team just released Part 4 of the PRX series, diving deep into the least glamorous but most critical piece: the data.We share how we build a broad, diverse corpus, re-caption every image with a VLM, and stream it efficiently at 7B scale. One detail I particularly love: the pipeline is designed so we can honor a user’s opt-out decision at any time, without having to rewrite terabytes of data. Control isn’t just something we keep for ourselves; it’s something we give back to the people who trust us.

PRX is open source (Apache 2.0). You can read the full pipeline, run the model, and even spot our bugs. Article linked in the first comment. Huge congrats to @jon_almazan and @DavidBert7 and the whole team! Thanks for the support @julien_c @ylecun @ClemDelangue @Thom_Wolf

clem 🤗

or maybe let's make sure the most important technology in the history of humanity is not controled by just 4 men? Aka let's push for open science & open-source AI to distribute capabilities, power and wealth!

Yann LeCun reposted

clem 🤗

Going to be in San Francisco next week. Should we organize some sort of a meetup or march in support of open-source and local AI?

clem 🤗 reposted

Digg

Hugging Face CEO @ClementDelangue floated a San Francisco "meetup or march" for open-source and local AI. The reaction so far is basically: yes, do it outside.

Digg is tracking 57.9K views and a 100% positive early read across 45 visible reactions. https://t.co/44G42AfxlS

Yann LeCun reposted

Sriram Krishnan

It is clear open source models and harnesses are having a moment. There's a few factors at work

1/ It is now obvious that you can catch up to near-SOTA performance and do so with a clear training lineage. See:@thinkymachines Inkling launch today.

2/ There are several well-funded, talented teams building open weight models now in the US and abroad. Along with the explosing of other near SOTA models (Grok/Cursor, Muse Spark), it is clear we are going to have a diverse ecosystem of models atleast on coding and agentic use.

3/ Organizations are increasingly looking for control over how their data is used and are willing to trade off some access to frontier level tokens for this control. Organizations and countries are increasingly nervous about the frontier labs potentially competing with them down the road and don't want their data to enable a future competitor.

4/ Open source is a slider: you could bring your own open harness, your evals, your business context and are free to pick and choose your model of choice.

5/ Companies have now actively shifted from "how do we get our people to use tokens" to being uncomfortable with their token cost ballooning without a clear line to revenue.

6/ Geo-politically, countries will be weighing open weight models as a way to get frontier-level tokens inside controlled environments that may not be otherwise possible.

All of this leads to more choice for all of us !

clem 🤗

I’ve said it many times: the countries or companies that are leading in open science and open source AI will start leading the frontier a few years later as it accelerates AI progress massively! That’s how the US took the lead

clem 🤗

https://t.co/KHJ7KyCKrV https://t.co/2LC2Hln5a6

clem 🤗 reposted

Ahmad

Almost half capacity

You guys show up every time we ask

That's why Local & Opensource AI is going to win

See you next Saturday 🫡 https://t.co/WzZvjbuzn3

Yann LeCun reposted

Yann LeCun

Replying to @deanwball

The "ungovernability" (and openness) of Linux and the Internet is precisely what has made their success.

The same will be true of open weight AI foundation models.

clem 🤗

Banning open-source AI would hurt defenders 10x more than attackers, which would make the world 10x more dangerous and this is a good example why! https://t.co/Fv1z0zvJoZ

Elon Musk

Overwhelming support for open source