clem 🤗@ClementDelangue
Concentration of power, capabilities and economic wealth is the biggest risk in AI. We need open science and open-source more than ever!
6:01 PM · Jun 9, 2026 · 91K Views
Yann LeCun and Prime Intellect CEO Vincent Weisser argue that concentration of power is the greatest risk facing AI
Story Overview
Two prominent voices in AI are framing the field's biggest danger not as rogue superintelligence but as the hoarding of capabilities and control by a handful of entities. Yann LeCun and Vincent Weisser push open-source development as the practical counterweight, pointing to the AI Alliance's newly launched Project Tapestry as one concrete step toward federated model building that lets participants keep sovereignty over their data and infrastructure.
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Open Question
What the April launch actually delivered so far
The project announced a Paris workshop with roughly thirty researchers to sketch architecture and priorities, then moved into execution mode by late May. No trained models, participation rules, or timelines for frontier runs have been released yet, leaving the effort still in the coalition-building phase.
Developer Impact
Who stands to gain from decentralized training
Institutions and nations wary of ceding compute or data to single companies now have a stated venue for joint work. Whether that translates into usable shared infrastructure depends on governance details that remain undefined beyond the initial partner list.
Sentiment
Many users endorse the view that concentration of power is AI's greatest risk and open source is essential for democratization and local control, while others dismiss the concerns as overstated or react with hostility.
Pos
76.5%
Neg
23.5%
17 comments with sentiment.
Cluster Engagement
Posts from X
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VIEWS8.6KBOOKMARKS40LIKES103RETWEETS17
Yann LeCun@ylecun
@ClementDelangue @Dan_Jeffries1 Everyone, please join Project Tapestry https://thealliance.ai/projects/tapestry
clem 🤗@ClementDelangue
Concentration of power, capabilities and economic wealth is the biggest risk in AI. We need open science and open-source more than ever!
2hViews 8.6KLikes 103Bookmarks 40
REPLIES9
Joscha Bach@Plinz
@ClementDelangue I hate to tell you but there are even bigger risks than someone having a better AI model than you
13hViews 5.7KLikes 64Bookmarks 4
clem 🤗@ClementDelangue
@Plinz Most of the other risks are, in my view, either much less likely, or made more likely and more damaging by extreme concentration of power, capabilities and wealth
13hViews 1.8KLikes 59Bookmarks 3
Graham Neubig@gneubig
@ClementDelangue "The only safe models are the ones that make us tons of money and put everyone else out of work" is quite the message to rally behind...
This is not one that we can let go quietly.
14hViews 1.3KLikes 47
Paul Weitzel@IThinkIAgree
@ClementDelangue Yep
13hViews 216Likes 6Bookmarks 4
Beff (e/acc)@beffjezos
@ClementDelangue Yes.
13hViews 1.9KLikes 28
Kevin@kevincodex
@ClementDelangue open source should win
14hViews 380Likes 25
Yann LeCun@ylecun
@ClementDelangue @Dan_Jeffries1 💯💯💯
clem 🤗@ClementDelangue
Concentration of power, capabilities and economic wealth is the biggest risk in AI. We need open science and open-source more than ever!
2hViews 1.7KLikes 20Bookmarks 0
Scott Santens@scottsantens
@ClementDelangue Will you sign on to the AI Pledge for Humanity in support of an AI dividend?
http://Aipledgeforhumanity.org
3hViews 93Likes 4
Firas Hermez@FirasHermez
@Plinz @ClementDelangue Serious question, what are the bigger you are talking about?
In my mind I have planetary / cosmic level threats, this is an addition to what power hungry / mentally unstable humans might do
What else am I missing?
12hViews 232Likes 3
Zhipeng Wang 🇺🇦@PKUWZP
@ClementDelangue @jeremyphoward I actually think the biggest hurdle for open-model development is the amount of compute. If we can bring down model training cost to an affordable range, open-models can easily out-perform proprietary models.
12hViews 135Likes 3
emozilla@theemozilla
@ClementDelangue let's get the boys together and finally train that 10T we have always been talking about
13hViews 349Likes 6
Sujan@ArchonofAgents
@carlkolon @ClementDelangue What makes you feel AI causes extinction. What is the realistic basis for this? Other than fiction?
Meanwhile extreme concentration of power is already happening, and happened with Google’s monopoly on search.
11hViews 10Bookmarks 1
Carl Kolon@carlkolon
@ClementDelangue That’s definitely a big risk but I don’t think it’s the biggest. What about extinction?
14hViews 279Likes 1
Noam Lewis@TheNoamLewis
@ClementDelangue How about organizing a co-op to fund training for open models? Just complaining won't get us anywhere. And regulating to slow it down is stupid because nobody will regulate the Chinese, it will just be economic suicide.
10hViews 161Likes 1
anya@annaeremburg
@ClementDelangue the conviction is right but "open source" has become the thing everyone agrees on while disagreeing about everything underneath it - model weights without compute access, data provenance, or governance is a flag without a country
14hViews 367Likes 4
Veronica@BettyMacht54525
@ClementDelangue Couldn't agree more. AI is built on the collective wisdom of humanity over millennia—it belongs to all of us. Any move to privatize AI is purely selfish and narrow-minded, and it’s a direct threat to social order and fairness.
14hViews 47Likes 1
Joman 👺@jomangblandino
I’d love to see Hugging Face add a clause requiring that any use of its datasets as well as any dataset uploaded to its platform must be subject to a mandatory reciprocal open research license, regardless of the company involved. This is probably the only real way to stop these players from undermining open research and the community.
13hViews 227Likes 3
LuffyCodes@AlerixCodes
@ClementDelangue The tech is exciting. The concentration of power around it is the part that keeps me thinking🤔
13hViews 207Likes 3
Kazba@Kazba22
@ClementDelangue the polymarket board showing anthropic at 91% would like a word
14hViews 104Likes 3
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