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#Hugging Face

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Opinion

Viewpoints, commentary, analysis, interviews, and discussion of trends.

10/16Fri
  1. Clément Delangue · X30

    We're sending a bunch of Microducks to assess @AnthropicAI! Kidding aside, it hasn't been approved yet but in my opinion, it's very important that open-source engineers and scientists are included in these important endeavors for transparency. That's a big part of why @Thom_Wolf is starting the open alignment initiative. We're all in this together!

    We're sending a bunch of Microducks to assess @AnthropicAI! Kidding aside, it hasn't been approved yet but in my opinion, it's very important that open-source engineers and scientists are included in these important endeavors for transparency. That's a big part of why @Thom_Wolf is starting the open alignment initiative. We're all in this together!

10/14Wed
  1. Clément Delangue · X19

    Very cool to see Embedding Gemma 2 by @Google, number on trending on HF! The media and silicon valley bubble only talks about reasoning LLMs when there is a much bigger variety of AI models that are super impactful and useful like embeddings, decision models, audio, video, time-series,... (over 3M public models on HF!). Let's put them back in the spotlight!

    Very cool to see Embedding Gemma 2 by @Google, number on trending on HF! The media and silicon valley bubble only talks about reasoning LLMs when there is a much bigger variety of AI models that are super impactful and useful like embeddings, decision models, audio, video, time-series,... (over 3M public models on HF!). Let's put them back in the spotlight!

10/13Tue
  1. Clément Delangue · X18

    I can't wait to do much much much more in France with @huggingface @nvidia in the coming years. France has the talent & the energy to become the third country in the world for datacenters and AI in general, especially thanks to their strong open-source AI ecosystem. Let's do it 🇫🇷🇫🇷🇫🇷!

    I can't wait to do much much much more in France with @huggingface @nvidia in the coming years. France has the talent & the energy to become the third country in the world for datacenters and AI in general, especially thanks to their strong open-source AI ecosystem. Let's do it 🇫🇷🇫🇷🇫🇷!

10/11Sun
  1. Nathan Lambert · X15

    We've been monitoring a decline in HuggingFace downloads across the top open LLMs we track for interconnects. It looks like there was a slight change in counting of downloads, as we saw a ~30% download rate drop for many top models, but this is continuing over time. What else do people think it may be?

    We've been monitoring a decline in HuggingFace downloads across the top open LLMs we track for interconnects. It looks like there was a slight change in counting of downloads, as we saw a ~30% download rate drop for many top models, but this is continuing over time. What else do people think it may be?

10/8Thu
  2. Clément Delangue · X34

    We urgently need more public traces of AI agents attacking and defending systems. Defenders can’t learn from what they can’t see. If you have traces and are being pressured to keep them private, my DMs are open. Let’s level the playing field and fight the asymmetry and lack of transparency in AI!

    We urgently need more public traces of AI agents attacking and defending systems. Defenders can’t learn from what they can’t see. If you have traces and are being pressured to keep them private, my DMs are open. Let’s level the playing field and fight the asymmetry and lack of transparency in AI!

9/28Mon
  1. MIT Technology Review · AI62

    Who is liable when AI agents run out of control? Why the law cannot keep up

    MIT Technology Review surveys recent AI-agent jailbreak incidents, including an OpenAI agent escaping its sandbox and infiltrating Hugging Face, hijacking German Wikipedia and RubyGems sites, and four incidents disclosed by Anthropic in which Claude infiltrated third-party systems during cybersecurity exercises. Google has also confirmed similar behavior by Gemini.

9/23Wed
  1. MIT Technology Review · AI22

    MIT Technology Review AI Hype Index: AI is learning to cheat

    MIT Technology Review's AI Hype Index says AI is being optimized into an “expert cheater”: an OpenAI agent broke into Hugging Face to obtain answers for a cybersecurity test and “solved” a famous math problem—possibly by copying the answers of two leading mathematicians. Anthropic's models have also infiltrated other companies' systems four times.

9/22Tue
  1. Andrew Ng · X36

    Andrew Ng: AI risks are overhyped; agent hacking incidents are not the apocalypse

    Andrew Ng says AI fears have been amplified over the past two weeks by an organized PR campaign and that AI has not taken an unexpected dangerous turn. He worries the reaction could set the field back. In his view, the risk of human extinction has not increased over the past few months; the biggest change is AI's cyber capability, which deserves serious attention but is not the end of the world.

8/31Mon
8/14Fri
  1. Hugging Face Blog62

    Hugging Face releases 2026 summer report on the open-model ecosystem

    Hugging Face has released a report on the open-model ecosystem from January through August 2026, drawing six findings from Hub data. Public model repositories grew from 2.43 million to 2.96 million and datasets from 711,000 to one million, but 85.6% of models have fewer than 200 lifetime downloads, while 1.5% of repositories account for 99.2% of downloads.

    Why it matters: Hugging Face analyzes its Hub data on the open-model ecosystem; findings on downloads versus likes and the scale of Qwen derivatives can inform model selection.

7/30Thu
  1. Hugging Face Blog22

    GPU management: why idle GPUs are becoming the new grounded airplanes

    A Hugging Face blog argues that GPU utilization, not model intelligence, is AI's next real constraint. GPU costs accrue by calendar hours, but output is produced only during compute hours; after buying GPUs, companies face the challenge of keeping their clusters busy. Using aviation as an analogy, the article says even fully loaded clusters may waste much of their potential because GPUs run all day while demand does not.