Hugging Face CEO on the Shift to Open-Source and Local AI Models

Melvin Vivas · X video post · 2026-06-24 · 0:39 · 103 views · Open on X

Topics: Industry Trends & Job Market, LLM Fundamentals · Level: beginner

Summary

Melvin Vivas reshares a short clip in which Clem Delangue, co-founder and CEO of Hugging Face, says AI is moving toward open-source and local models. He gives three reasons: they cost less, they are easier to customize, and they keep data private. The clip stops before it says who the new collaboration is with, so the main lesson is the case for open and local models.

Key points

• According to Hugging Face's CEO, more and more of the world is running on open-source and local models.
• Open and local models are much cheaper than the big LLM APIs.
• Companies can customize open models more easily, for example by fine-tuning them.
• Models that run on your own device are private by design, so your data stays with you.
• Hugging Face says more than 16 million AI builders work in the open on its platform.
• The clip ends before naming the collaboration partner, and the post itself asks who it is.

Resources mentioned

• Hugging Face · website · x.com · free · recommended by both Bashiri Smith & Melvin Vivas
  Platform for hosting and finding ML models, datasets and papers. The quoted post says LocateAnything was trending there.
  Also in: Using an ML agent to train an open-source TTS model on your voice (Melvin Vivas on X · notes), Deploy Open-Source Models with Hugging Face Inference Endpoints (Melvin Vivas on X · notes), Deploying Qwen3.8 27B on Hugging Face Inference Endpoints (Melvin Vivas on X · notes), Using Hugging Face credits: Jobs, Inference Endpoints and Open Models (Melvin Vivas on X · notes) and 38 more
• Clem Delangue · person · x.com · free
  Co-founder and CEO of Hugging Face, who speaks publicly about open-source AI.
  Also in: Open Model GLM 5.2 Helped Mitigate OpenAI-Caused Cyberattack (Melvin Vivas on X · notes)