Open source AI matters more than ever, according to Hugging Face's Clem Delangue

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Open source AI matters more than ever, according to Hugging Face's Clem Delangue

Hugging Face CEO Clem Delangue tells Equity why companies are ditching frontier APIs for open source AI and the risks of letting a few labs control it all.

TL;DR

Hugging Face CEO Clem Delangue states that open source AI is booming.
Companies are increasingly moving from frontier APIs to open source models as they scale due to cost.
Delangue is concerned about the risk of a few large companies controlling the AI space.
Chinese labs are producing the majority of open models downloaded in the U.S., which Delangue sees as a solvable problem.
Hugging Face prioritizes capital efficiency in its fundraising strategy.
Open, transparent AI is considered even more critical for robotics than for chatbots or coding tools.

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clem 🤗 reposted

TechCrunch

Hugging Face’s CEO on why companies are done renting their AI https://t.co/ZjaKz61Iee

clem 🤗 reposted

Anthony Pompliano 🌪

We need open source, American AI models to become the default as quickly as possible.

clem 🤗 reposted

Vasek Mlejnsky

We’re the only major open-source agentic sandbox platform and the only widely used sandbox platform licensed under Apache 2.0.

Like LLMs, sandboxes are a critical part of AI infrastructure. Any smart business will want to own this infrastructure in-house to protect its IP.

If you care about AI sovereignty within your company, @e2b should be on your shortlist.

clem 🤗 reposted

MOSI

🤗 MOSS-VL-Realtime is now open source on @huggingface .

Built for real-time visual understanding over continuous video streams:

🧠 11B vision-language model

📜 Apache-2.0 license

💬 Ask questions at any point in a video stream

👀 Keeps watching while generating a response

🔄 Revises or interrupts its response as the scene changes

🤫 Can remain silent when more evidence is needed

🧩 256K-token context window

🌐 Chinese and English multimodal understanding

📦 Base, Instruct, and Realtime models are all open source

From “watch first, answer later” to “keep watching while answering.” 👀 @Open_MOSS

Thank you @sgl_project @lmsysorg for day-0 support! 🚀

clem 🤗 reposted

OpenMOSS

🤗 MOSS-VL-Realtime is now open source on @huggingface .

The 11B model family supports text, single and multiple images, single and multiple videos, and interleaved visual-text inputs in Chinese and English.@MosiAI_Official

Highlights:

🏗️ Cross-Attention architecture separating visual encoding from language reasoning

🧭 XRoPE for unified temporal-spatial positioning

🧩 Unified conversation templates for offline, streaming, and real-time interaction

🧠 256K-token context window

📜 Apache-2.0 license

MOSS-VL-Realtime continues processing new frames while generating a response, allowing it to revise or interrupt that response as the scene evolves—or remain silent when more evidence is needed.

Thank you @sgl_project @lmsysorg for day-0 support! 🚀

Huggingface: https://t.co/UimbBocrP6

Github: https://t.co/kkUl4QZQyk

Technical blog: https://t.co/qqwJFSBhxH

Join the community: https://t.co/pZ5aMLZ1nn

👇

https://t.co/UcNoGanAOi

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!

clem 🤗 reposted

Podcast Alpha

Chinese models are now 41% of Hugging Face downloads.

They passed the US.

Clem Delangue @ClemDelangue, CEO of the main open model platform, cites Hugging Face's own Spring 2026 report: Chinese open weights lead monthly and overall downloads. His harder claim is that open source is the accelerant behind AI leadership, so if China keeps leading open source, it could lead AI overall within a year or two.

Peter Diamandis @PeterDiamandis has walked through the same China-catching-up dynamic on his show, pointing at GLM matching Western frontier benchmarks.

For US frontier labs, this is a moat-erosion signal. For any US enterprise standardizing on Chinese open weights, it is a sovereignty question that has not been priced.

The full argument on why open source decides the AI race: https://t.co/9hvHpgtIp9

Source: Equity by TechCrunch - https://t.co/sMp6CzV9QV

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

Ahmad

Local AI is the future.

Learning how to run Opensource models (Inference), how to evaluate them systematically (Evals), and how to customize them (Fine-tuning / RL / Post-training) are invaluable skills to start learning today.

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

clem 🤗 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 !