On the Shifting Global Compute Landscape
•
57
AI & ML interests
The AI community building the future.
Recent Activity
View all activity
Papers
View all Papers
Articles
sayakpaul
updated
a
dataset
about 2 hours ago
Post
110
More lightweight multimodal models are coming 👀
StepFun has been focused on multimodal AI from the very beginning. Their latest release a new foundational model: STEP3-VL🔥
https://huggingface.co/collections/stepfun-ai/step3-vl-10b
✨ 10B - Apache2.0
✨ Leads in the 10B class and competes with models 10–20× larger
StepFun has been focused on multimodal AI from the very beginning. Their latest release a new foundational model: STEP3-VL🔥
https://huggingface.co/collections/stepfun-ai/step3-vl-10b
✨ 10B - Apache2.0
✨ Leads in the 10B class and competes with models 10–20× larger
Post
94
Agentic capability is the new battleground🔥
LongCat-Flash-Thinking-2601, the latest reasoning model from Meituan- LongCat
✨ MoE - 560B total / 27B active
✨ MIT license
✨ Agentic tool use
✨ Multi-environment RL
✨ Parallel + iterative reasoning
meituan-longcat/LongCat-Flash-Thinking-2601
LongCat-Flash-Thinking-2601, the latest reasoning model from Meituan- LongCat
✨ MoE - 560B total / 27B active
✨ MIT license
✨ Agentic tool use
✨ Multi-environment RL
✨ Parallel + iterative reasoning
meituan-longcat/LongCat-Flash-Thinking-2601
Post
181
GLM-Image from Z.ai is out 🔥
It was fully trained on Ascend Atlas 800T A2 with MindSpore, probably the first SOTA multimodal model fully trained on domestic chips 👀
zai-org/GLM-Image
✨ Hybrid Architecture: combined autoregressive + diffusion design delivers strong semantic alignment with high-fidelity details
✨ Strong performance in long, dense, and multilingual text rendering
✨ MIT licensed (VQ tokenizer & ViT weights under Apache 2.0)
✨ Now live on Hugging Face inference provider 🤗
It was fully trained on Ascend Atlas 800T A2 with MindSpore, probably the first SOTA multimodal model fully trained on domestic chips 👀
zai-org/GLM-Image
✨ Hybrid Architecture: combined autoregressive + diffusion design delivers strong semantic alignment with high-fidelity details
✨ Strong performance in long, dense, and multilingual text rendering
✨ MIT licensed (VQ tokenizer & ViT weights under Apache 2.0)
✨ Now live on Hugging Face inference provider 🤗
Post
1839
From ChatGPT Healthcare to Claude for healthcare, AI in medicine is speeding up🚀
Now BaichuanAI joins with Baichuan-M3 🏥 an open medical LLM trained for clinical decision-making
https://huggingface.co/collections/baichuan-inc/baichuan-m3
✨ 235B - Apache2.0
✨ Lower hallucinations via Fact-Aware RL
✨ Built for long medical chats
Now BaichuanAI joins with Baichuan-M3 🏥 an open medical LLM trained for clinical decision-making
https://huggingface.co/collections/baichuan-inc/baichuan-m3
✨ 235B - Apache2.0
✨ Lower hallucinations via Fact-Aware RL
✨ Built for long medical chats
- 2 replies
Post
2710
AgentCPM-Explore🔥 on device agent foundation model released by OpenBMB
openbmb/AgentCPM-Explore
✨ 4B - Apache2.0
✨ Supports 100+ multi-turn environment interactions with search + verification
✨ Full training/inference stack is openly shared as well
openbmb/AgentCPM-Explore
✨ 4B - Apache2.0
✨ Supports 100+ multi-turn environment interactions with search + verification
✨ Full training/inference stack is openly shared as well
Post
2511
Based on 2025 Chinese AI Timeline, here are some interesting takeaways:
✨ DeepSeek cadence: They shipped almost every month! (except Feb 2025)
✨ Qwen trajectory: Not a single “hit” model, but an expanding product line. VL/Math/Coder/Reranker/Embedding/Omni/Next/Image
✨ Multimodal trend: Steadily rising share, shifting from generation to editing + tooling.
✨ Reasoning as a main track: more engineered, system-level reasoning.
✨ From foundation to components: growth in infra models (embeddings, rerankers, OCR, speech) signals a move toward deployable stacks.
✨ Ecosystem broadening: more players beyond the top labs.
Follow for more updates👉
zh-ai-community
✨ DeepSeek cadence: They shipped almost every month! (except Feb 2025)
✨ Qwen trajectory: Not a single “hit” model, but an expanding product line. VL/Math/Coder/Reranker/Embedding/Omni/Next/Image
✨ Multimodal trend: Steadily rising share, shifting from generation to editing + tooling.
✨ Reasoning as a main track: more engineered, system-level reasoning.
✨ From foundation to components: growth in infra models (embeddings, rerankers, OCR, speech) signals a move toward deployable stacks.
✨ Ecosystem broadening: more players beyond the top labs.
Follow for more updates👉
- 2 replies
Post
229
Spirit AI (千寻智能) shared its VLA foundation model Spirit v1.5 on huggingface 🔥
It’s now No. 1 on RoboChallenge’s Table30 leaderboard, beating Pi0.5 🏆
Spirit-AI-robotics/Spirit-v1.5
It’s now No. 1 on RoboChallenge’s Table30 leaderboard, beating Pi0.5 🏆
Spirit-AI-robotics/Spirit-v1.5
Post
1462
Wechat AI is shipping!
WeDLM 🔥 A new language model that generates tokens in parallel, making it faster than standard LLMs , with the same Transformer setup!
https://huggingface.co/collections/tencent/wedlm
✨ 7B/8B - Base & Instruct
✨ Apache 2.0
WeDLM 🔥 A new language model that generates tokens in parallel, making it faster than standard LLMs , with the same Transformer setup!
https://huggingface.co/collections/tencent/wedlm
✨ 7B/8B - Base & Instruct
✨ Apache 2.0
-
- 4 replies
Post
2081
Qwen just released two new model series: Qwen3-VL-Embedding & Qwen3-VL-Reranker 🚀
✨ 2B / 8B - Apache2.0
✨ 30+ languages
✨ Supported text, images, screenshots, videos, and arbitrary multimodal combinations
Qwen3-VL-Embedding: Flexible vector sizes (64–2048)
https://huggingface.co/collections/Qwen/qwen3-vl-embedding
Qwen3-VL-Reranker: Built for recall>rerank pipelines
https://huggingface.co/collections/Qwen/qwen3-vl-reranker
✨ 2B / 8B - Apache2.0
✨ 30+ languages
✨ Supported text, images, screenshots, videos, and arbitrary multimodal combinations
Qwen3-VL-Embedding: Flexible vector sizes (64–2048)
https://huggingface.co/collections/Qwen/qwen3-vl-embedding
Qwen3-VL-Reranker: Built for recall>rerank pipelines
https://huggingface.co/collections/Qwen/qwen3-vl-reranker
Post
575
MOSS Transcribe Diarize 🔊 A multimodal model for Speaker-Attributed, Time-Stamped Transcription from OpenMOSS.
MOSS Transcribe Diarize: Accurate Transcription with Speaker Diarization (2601.01554)
OpenMOSS-Team/MOSS-transcribe-diarize
✨ Single-pass end-to-end SATS
✨ 128k context, ~90 min audio
✨ Robust to overlap & noise
MOSS Transcribe Diarize: Accurate Transcription with Speaker Diarization (2601.01554)
OpenMOSS-Team/MOSS-transcribe-diarize
✨ Single-pass end-to-end SATS
✨ 128k context, ~90 min audio
✨ Robust to overlap & noise
- 1 reply
Post
268
Daily Papers just got an AI reading assistant 🔥
You can ask any question you want: clarify a paragraph, get a short summary...all without leaving the page!
✨ Powered by HuggingChat + Hugging Face MCP server
You can ask any question you want: clarify a paragraph, get a short summary...all without leaving the page!
✨ Powered by HuggingChat + Hugging Face MCP server
Post
1804
Chinese open source AI in December 2025 was about the stack coming together: open, end to end, and ready to ship 🔥
https://huggingface.co/collections/zh-ai-community/december-2025-china-open-source-highlights
✨ Big wave of foundation models: still scaling, but efficiency, reasoning, and deployment now matter more than size
- DeepSeek-V3.2
- Z.ai GLM-4.7
- MiniMax-M2.1
- Xiaomi: MiMo-V2-Flash
✨ Multimodal reasoning is now default
- Z.ai GLM-4.6V
- Z.ai AutoGLM-Phone 9B
- Bytedance: Dolphin-v2
✨ Image & video: editable assets and real workflows
- Qwen-Image-Layered / Image-2512
- Meituan: LongCat-Image & Image Edit
- AIDC: Ovis-Image-7B
- Live-Avatar / LongCat-Video-Avatar
- HY-WorldPlay / RealVideo
✨ Audio goes edge ready
- GLM-ASR-Nano / Fun-ASR-Nano
- GLM-TTS / VoxCPM1.5
- CosyVoice 0.5B
✨ The quiet backbone: data & infrastructure
- Finch (FinWorkBench)
- Tencent ARC: TimeLens-100K
- BIGAI: TongSIM-Asset
- MiniMax: VTP-Base
✨ Also congrats on Minimax and Z.ai announced their IPOs and Moonshot announced a new $500M funding round 🔥
Like everyone else, I was OOO at the end of December, so feel free to share (in comments or PR) any I missed in this list!
https://huggingface.co/collections/zh-ai-community/december-2025-china-open-source-highlights
✨ Big wave of foundation models: still scaling, but efficiency, reasoning, and deployment now matter more than size
- DeepSeek-V3.2
- Z.ai GLM-4.7
- MiniMax-M2.1
- Xiaomi: MiMo-V2-Flash
✨ Multimodal reasoning is now default
- Z.ai GLM-4.6V
- Z.ai AutoGLM-Phone 9B
- Bytedance: Dolphin-v2
✨ Image & video: editable assets and real workflows
- Qwen-Image-Layered / Image-2512
- Meituan: LongCat-Image & Image Edit
- AIDC: Ovis-Image-7B
- Live-Avatar / LongCat-Video-Avatar
- HY-WorldPlay / RealVideo
✨ Audio goes edge ready
- GLM-ASR-Nano / Fun-ASR-Nano
- GLM-TTS / VoxCPM1.5
- CosyVoice 0.5B
✨ The quiet backbone: data & infrastructure
- Finch (FinWorkBench)
- Tencent ARC: TimeLens-100K
- BIGAI: TongSIM-Asset
- MiniMax: VTP-Base
✨ Also congrats on Minimax and Z.ai announced their IPOs and Moonshot announced a new $500M funding round 🔥
Like everyone else, I was OOO at the end of December, so feel free to share (in comments or PR) any I missed in this list!
Post
1911
MiniMax M2.1 blog is out🔥
https://huggingface.co/blog/MiniMaxAI/multilingual-and-multi-task-coding-with-strong-gen
Only a year into open source, MiniMax is already making a great impact. Not only through solid models/products, but also by how well the team uses community platforms like Hugging Face.
HF Teams, blogs, Daily Papers, Spaces as project pages, and always experimenting with new ways to engage. Super impressive!
https://huggingface.co/blog/MiniMaxAI/multilingual-and-multi-task-coding-with-strong-gen
Only a year into open source, MiniMax is already making a great impact. Not only through solid models/products, but also by how well the team uses community platforms like Hugging Face.
HF Teams, blogs, Daily Papers, Spaces as project pages, and always experimenting with new ways to engage. Super impressive!
Post
3615
2025.1 - DeepSeek entered the scene, backed by High Flyer Quant
2026.1 - IQuest enters the game, backed by Uniquant Quant 📈 and launching IQuest-Coder on huggingface
https://huggingface.co/collections/IQuestLab/iquest-coder
✨ 40B models: Instruct / Thinking / Loop
✨ Loop = MoE-level performance with only ~5% extra training cost
✨ Native 128K context
2026.1 - IQuest enters the game, backed by Uniquant Quant 📈 and launching IQuest-Coder on huggingface
https://huggingface.co/collections/IQuestLab/iquest-coder
✨ 40B models: Instruct / Thinking / Loop
✨ Loop = MoE-level performance with only ~5% extra training cost
✨ Native 128K context
- 1 reply
AdinaY
submitted
a
paper
to Daily Papers
14 days ago
craffel
authored
a
paper
20 days ago
qgallouedec
submitted
a
paper
to Daily Papers
22 days ago
Post
767
Following up on LLaDA 2.0 , the paper is now out on Daily Papers🔥
It has sparked a lot of discussion in the community for showing how discrete diffusion LLMs can scale to 100B and run faster than traditional AR models.
LLaDA2.0: Scaling Up Diffusion Language Models to 100B (2512.15745)
It has sparked a lot of discussion in the community for showing how discrete diffusion LLMs can scale to 100B and run faster than traditional AR models.
LLaDA2.0: Scaling Up Diffusion Language Models to 100B (2512.15745)
Post
4608
Finch 💰 an enterprise-grade benchmark that measures whether AI agents can truly handle real world finance & accounting work.
FinWorkBench/Finch
✨ Built from real enterprise data (Enron + financial institutions), not synthetic tasks
✨ Tests end-to-end finance workflows
✨ Multimodal & cross-file reasoning
✨ Expert annotated (700+ hours) and genuinely challenging hard
FinWorkBench/Finch
✨ Built from real enterprise data (Enron + financial institutions), not synthetic tasks
✨ Tests end-to-end finance workflows
✨ Multimodal & cross-file reasoning
✨ Expert annotated (700+ hours) and genuinely challenging hard