The Ledger
Every statement that passed quotation and attribution checks. Mix any filter with any other: certainty 1/5, debate potential 5/5, or both at once.
why aren't all 36 resolved? a statement only gets an assessment when the public record can support or contradict it. opinions and what-ifs never can, and 1 checkable ones are still open, waiting for their date. predictions held up or didn't; assertions are supported or contradicted. on every card: ▮▮▮▮▮ certainty · ▮▮▮▮▮ debate potential. speakers are clickable
Wolf: OpenAI Model Attacked Hugging Face as Autonomous 'Side Quest'
“What people quickly discovered is that the model was not at all task with attacking us, but decided to do that as a side quest of something else.”
Wolf: Claude Opus Refused to Assist Hugging Face During Incident
“And in this case is, it's not only that Fable told us I'm not allowed to touch cybersecurity, but also Opus, which was the fallback was saying, no, I'm also not touching these things. So basically the end was just say we won't process anything about that, but …”
Wolf: OpenAI Admitted Model Evaluation Caused Hugging Face Cyber Incident
“And then about a week later, OpenAI contacted us and tell us that this was much likely something that happened as part of one of their model development or evaluation, basically.”
Wolf: Post-Training Mitigates Backdoor Risks in Open-Source AI Models
“Right now, if you pre-train and post-train a model for longer, you very likely change quite a lot of the weights and that it has. So I think there's a lot of way to circumvent that which means that at the moment I'm a bit less worried about that than maybe jus…”
Wolf: Bostrom's Paperclip Maximizer Scenario Describes Real AI Incidents
“But definitely it seems like when Ballstrom worked about it in 2003, it seems a little bit like, you know, futuristic, definitely, and maybe something that was like a little bit crazy and just would not happen. But today, I mean, it's pretty clearly something …”
Delangue: Collective open source can outperform tech giants like Google and Facebook
“We believe that actually if all the other companies than Facebook, Google, Apple, Amazon are actually all contributing to the same open source technology, they can actually end up with something way better than each one of these guys could build.”
Wolf: Hugging Face Used Quantized GLM 5.2 Against OpenAI Intrusion
“The model we use to counter open AI intrusion was GNM 5.2 that was quantized by Nvidia in, in, in four bits.”
50% of Hugging Face model derivatives are now based on Qwen
“I think 50% of all model derivatives being downloaded from Hugging Face or Quen base now.”
Delangue: OpenAI uses open source and is a Hugging Face customer
“As a matter of fact, open AI is using open source as a customer of Fergingface”
Delangue: Companies start AI cycles with large models, move to smaller ones
“We've seen a lot of companies who started their AI life cycle more with like a large model and then moving on to smaller models.”
Delangue: Hugging Face generates zero revenue and has not focused on monetization
“We haven't had the constraints to work on monetization yet, so we're making zero revenue.”
Lambert: Kernel differences between vLLM and Hugging Face cause RL numerical instability
“VLLM and HuggingFace use different kernels to do the actual internal computation of the model. So these kernels are the things that make things like vLLM really fast. But these things, this then results in subtle numerical differences between the completions t…”
Over 500 DeepSeek model variants hit Hugging Face within a month
“DeepSeq for example, just within one month of releasing their new models, There are, despite DeepSeq model, extremely hard to tune and optimize, extremely hard. There are 500, more than 500 variants published on Hugging Face, optimizing for local device, optim…”
Over 2,000 companies, including NVIDIA, use Hugging Face's Enterprise Hub
“We have over 2000 companies using the enterprise hub today from kind of like Mercedes, Bloomberg all the way to larger ones like Nvidia, for example, that I was mentioning.”
Most Hugging Face users will stay open source and free
“We think most of our usage and users are always going to stay open source and free and we need to build some sort of a freemium model.”
Delangue: Hugging Face has almost 1 million private models
“A big part of the usage of the Hugging Face platform now is in private mode. Almost as much as what is public. So there's almost one million private models on the platform.”
Delangue: Hugging Face is profitable with most of $500M raised in bank
“We're lucky to be profitable. We raised a bit less than five hundred million so far. Most of it is still in the bank.”
Microsoft and NVIDIA are massive Hugging Face enterprise customers
“When you think about Microsoft, when you think about NVIDIA all, all these companies are massive customers of ours.”
Delangue: Non-text AI modalities will transform technology like NLP did
“It's gonna be audio, it's gonna be video, it's gonna be biology, chemistry, AI. These are, in my opinion the domains that in the next few years are going to change the world the same way NLP has in the past.”
Delangue: Consumer background drove Hugging Face's community-first model over B2B enterprise sales
“Before we had some experience around consumer, and so I think it helped us to have a very community driven approach instead of maybe a more, like, enterprise driven approach. Or more traditional kind of like B to B approach.”
Delangue: Hugging Face has 5M builders and 1M public models
“Today, as I mentioned, where we have five million AI builders using, using our platform, who collaboratively shared one million public models.”
Socher: I angel invested in Hugging Face at a $5M valuation
“I invested in these two three founders creating this cute company called Hugging Face. I had a beautiful five million dollar valuation. And now they're worth, like, four and a half billion, right?”
Mann: Open source culture in academic machine learning accelerated AI innovation
“The academic machine learning community happened to be one that shared quite a bit. And so companies like Hugging Face and, you know, Google's Colab, you know, enabled sharing of code sharing of technology, and this just really increased the pace of innovation”
Delangue: Over 1,000 companies including Apple and Bing use Hugging Face
“And we have more than a thousand companies using our library from medium-sized one, like Monzo, for example, the banking one, to really large ones like Bing or Apple.”
Delangue: Hugging Face built the most popular open-source NLP library
“We mostly known For having built the most popular open source NLP library, which is on GitHub, that is called Transformers.”
Benaich: Hugging Face data shows over 500M Llama derivative downloads
“The data as of like a week or two ago from his platform, Hugging Faces, like there's probably over half a billion Lama derivative models that have been downloaded.”
Hugging Face spent over three years building an AI chatbot before pivoting
“Started building this Tamagotchi AI, right? So at the time it's like a Siri Alexa, but we wanted to make it entertaining. We did that for, ah, a bit more than three years”
Delangue: Half of Hugging Face's 1M public models downloaded recently
“Half of them have been downloaded in the past 30 days.”
Delangue: Users contributed over 200k datasets to Hugging Face
“They also contributed, I think it's more than 200,000 data sets to the platform.”
Delangue: Over 5,000 leaderboards have been created on Hugging Face
“I think we crossed 5000 leaderboards that have been created on the Hugging Face platform as a way to rank your models based on their accuracy and their performance.”
Delangue: Users built over 300k app spaces on Hugging Face
“And collectively they built over 300,000 spaces which are the apps, ah, on, on the Hugging Face platform.”
Delangue: Hugging Face acquired two startups in four months
“We actually acquired, acquired two in the past four months.”
Hugging Face hosts over one million AI models as of April 2024
“We saw those, what, one million, over one million models on Hugging Face, and literally thousands added every day”
Delangue: Hugging Face raised over $20M from Lux, Betaworks, and Kevin Durant
“We raised a bit more than twenty million dollars from Lux BetterWorks, so a lot of, like New York investors and some Silicon Valley investors like A Capital and some fun angels like Kevin Durant before he moved to New York and the hat.”