Hugging Face

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Updated: May 7, 2026 at 12:27 AM

Hugging Face

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Hugging Face

Apr 27, 2026, 09:35 AM

https://twitter.com/huggingface/status/2021807476807811260

RT https://twitter.com/HuggingPapers: StepFun's Step 3.5 Flash

A sparse MoE model with 196B parameters, 11B active per token.

Achieves frontier-level reasoning comparable to GPT-5.2 xHigh and Gemini 3.0 Pro at 1/6th the decoding cost.

Ranks #1 on MathArena with 97.3% on AIME 2025.

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Hugging Face

Apr 27, 2026, 09:35 AM

https://twitter.com/huggingface/status/2021978734237298944

RT https://twitter.com/turingcom: OpenEnv treats environments as first class infrastructure.

Through our collaboration with https://twitter.com/AIatMeta and https://twitter.com/huggingface, Turing is helping labs run tool-using agents against RL Environments that share:

-A standard step and reset API
-WebSocket sessions with per-client state
-MCP-style tool discovery and calling
-Observability hooks for rewards, errors, and drift

The payoff is simple. You can reuse the same evaluation pattern across domains and see where agents actually fail in long, tool-heavy workflows. Learn more below.

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Hugging Face

Apr 27, 2026, 09:35 AM

https://twitter.com/huggingface/status/2022031451991224515

💚💚💚 https://twitter.com/NVIDIAAIDev/status/2022023402047799389#m

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Hugging Face

Apr 27, 2026, 09:35 AM

https://twitter.com/huggingface/status/2021614551507059113

RT https://twitter.com/andimarafioti: 30x real-time speech-to-text in your browser.
No installs. No servers.
Just open the website.

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156

Hugging Face

Apr 27, 2026, 09:35 AM

https://twitter.com/huggingface/status/2021910444160823708

RT https://twitter.com/vanstriendaniel: Data Designer from https://twitter.com/nvidia now has full https://twitter.com/huggingface Hub integration:
- load any dataset as a seed
- generate synthetic data,
- push results straight to the Hub

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Hugging Face

Apr 27, 2026, 09:35 AM

https://twitter.com/huggingface/status/2021642658188538348

RT https://twitter.com/mervenoyann: GLM-5 is out on https://twitter.com/huggingface 🔥

> A40B/744B, trained on more tokens (28.5T)
> outperforms/on par with closed sota
> allows commercial use (MIT licensed) 💗

use with vLLM/SGLang locally or through HF Inference Providers thanks to https://twitter.com/novita_labs and https://twitter.com/Zai_org 📦

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Hugging Face

Apr 27, 2026, 09:35 AM

https://twitter.com/huggingface/status/2021671530108006705

RT https://twitter.com/lvwerra: Public benchmarks lag behind what frontier labs are using internally to test and develop LLMs, yet they are the key driver of progress for LLMs.

This needs to change!

Excited to work with https://twitter.com/SnorkelAI who are investing $3M do build out the evaluation ecosystem with the community.

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Hugging Face

Apr 27, 2026, 09:35 AM

https://twitter.com/huggingface/status/2021682818636820781

RT https://twitter.com/Xianbao_QIAN: Pony Alpha is open sourced finally. Welcome GLM 5 by https://twitter.com/Zai_org on https://twitter.com/huggingface !

- 744B parameters (40B active)
- 28.5T pretrain tokens
- DeepSeek Sparse Attention (DSA)
- Trained by asynchronous RL infrastructure slime
- MIT license
- Native FP8 version available

https://huggingface.co/zai-org/GLM-5

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Hugging Face

Apr 27, 2026, 09:35 AM

https://twitter.com/huggingface/status/2021638634739527773

RT https://twitter.com/Zai_org: Introducing GLM-5: From Vibe Coding to Agentic Engineering

GLM-5 is built for complex systems engineering and long-horizon agentic tasks. Compared to GLM-4.5, it scales from 355B params (32B active) to 744B (40B active), with pre-training data growing from 23T to 28.5T tokens.

Try it now: http://chat.z.ai/
Weights: http://huggingface.co/zai-org/GLM-5
Tech Blog: http://z.ai/blog/glm-5
OpenRouter (Previously Pony Alpha): http://openrouter.ai/z-ai/glm-5
Rolling out from Coding Plan Max users: http://z.ai/subscribe

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Hugging Face

Apr 27, 2026, 09:35 AM

https://twitter.com/huggingface/status/2021608733449802066

RT https://twitter.com/AntLingAGI: One for all, and all for one 🧧
Introducing Ming-flash-omni-2.0: A specialist in every domain, unified as a capable generalist. A gift from Ling =)
- Unified Acoustic Synthesis: Speech, audio, and music combined for unbounded creativity;
- "Seeing" to "Knowing": Moving beyond input to true deep semantic understanding;
- Native Visual Fusion: Seamless generation, editing, and segmentation;

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