What is needed for startups and medium-size tech companies to contribute to open science and open-source AI more? When thinking about open-source, people usually think about big tech or academia but in my opinion, startups and medium-sized tech companies could be massive
OPEN SOURCE
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Top Trending Model on Hugging Face Platform
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Top trending model on HF for the past few days! https://t.co/nXICZFlqbe
— clem 🤗 (@ClementDelangue) 14 janvier 2026Top trending model on HF for the past few days!
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Jamba2 Achieves Competitive Hallucination Rate on HHEM Leaderboard
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New benchmark signal: Jamba2 places high on @vectara
's HHEM leaderboard for hallucination rate competitive with open models in its size class. Check out the leaderboard: https://
huggingface.co/spaces/vectara
/leaderboard
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Community calls for increased open-source support
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Thanks! We need more support for open-source!
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Jensen Huang on Open AI Models for Global Trust
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Open models. Open data. Open tools.
— NVIDIA AI (@NVIDIAAI) 13 janvier 2026
Jensen Huang explains how building AI in the open is key to trust and global progress.
Learn more about our open models → https://t.co/T4B3PyssLw pic.twitter.com/1Nd5awod67Open models. Open data. Open tools. Jensen Huang explains how building AI in the open is key to trust and global progress. Learn more about our open models → https://
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Anthropic invests $1.5 million in Python Software Foundation
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I'm happy to share that we (
@AnthropicAI
) are investing $1.5 million in support of the Python Software Foundation and open source security. Python powers so much of the AI industry. Supporting the folks that make our work possible is an honor. -
OpenAI crosses 30k followers on Hugging Face with gpt-oss
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OpenAI just crossed 30,000 followers on @huggingface with very strong adoption for gpt-oss as noted by @natolambert @interconnectsai In my opinion, they have the potential to become the number one organization in open-source, excited to see what they do in 2026!
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Optimizing SWE-bench Performance Through Shared Resource Provisioning
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4/5 The fix was a mindset shift: stop provisioning per run. Provision per SWE-bench instance, then reuse it. Shared per instance: repo at the right commit, MCP server, dependencies. Unique per run: execution path, files changed, commands, patch. We keep runs isolated with
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SWE-bench Evaluation Challenges at Kubernetes Scale
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3/5 Trying to run SWE-bench eval as-is on k8s at large scale wasn't trivial: – Fresh pods have no cache. This means that everyone re-downloads the world (hello HF 429s.
– “docker run inside k8s” works on paper, then dies from contention, privileges, and overhead. It worked, but -
LLaMA-Factory: Fine-Tune 100+ LLMs Without Coding
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Fine-Tune 100+ LLMs without writing a single line of code! LLaMA-Factory lets you train and fine-tune open-source LLMs and VLMs without writing any code. Here's why it's a game changer for fine-tuning: • Fine-tune 100+ LLMs/VLMs with built-in templates (LLaMA, Gemma, Qwen,