Patrick Chan @patrickchankh
Joined February 2009-
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UNLIMITED access to ALL BEST MODELS. All users & plans. ONE HISTORICAL opportunity🏆 WAN | Kling | Seedream | Seedance | Minimax | Nano Banana You only have one shot. Don't let it pass. Claim before next Friday 00:00. For the next 8h: reply & retweet = 100 credits in DM
We’re releasing: ✅ Model checkpoints ✅ Training recipes ✅ Evaluation protocols 🆓 All under MIT license → advancing open-source multimodal reasoning. 🔗 huggingface.co/ServiceNow-AI/…
ReasoningBank: memory for self-evolving LLM agents • Distills strategies from both successes & failures • Enables agents to learn, reuse, and improve over time • Outperforms prior memory methods on web & SWE tasks (+34.2% eff., –16% steps)
🚀 Introducing Qwen3-Omni — the first natively end-to-end omni-modal AI unifying text, image, audio & video in one model — no modality trade-offs! 🏆 SOTA on 22/36 audio & AV benchmarks 🌍 119L text / 19L speech in / 10L speech out ⚡ 211ms latency | 🎧 30-min audio…
🚨Reasoning LLMs are e̵f̵f̵e̵c̵t̵i̵v̵e̵ ̵y̵e̵t̵ inefficient! Large language models (LLMs) now solve multi-step problems by emitting extended chains of thought. During the process, they often re-derive the same intermediate steps across problems, inflating token usage and…
Mistral releases Magistral 1.2, their new reasoning models! 🔥 Magistral-Small-2509 excels at coding + math, and is a major upgrade over Magistral 1.1. Run the 24B model locally with 32GB RAM. Fine-tune with free notebook: docs.unsloth.ai/models/magistr… GGUFs: huggingface.co/unsloth/Magist…
HunyuanWorld-Voyager is here and fully open-source! The world’s first ultra-long-range world model with native 3D reconstruction, redefining AI-driven spatial intelligence for VR, gaming, and simulations. ✅Direct 3D Output: Exports point cloud videos to 3D formats without tools…
🚀 Introducing MiniCPM-V 4.5 8B: pushing the boundary of multimodal AI! ～ SOTA VL Capability: Surpasses GPT-4o, Gemini 2.0 Pro, Qwen2.5-VL 72B on OpenCompass! ～ "Eagle Eye" Video: 96x visual token compression for high refresh rate and long video understanding ～ Controllable…
Presenting the GLM-4.5 technical report!👇 arxiv.org/abs/2508.06471 This work demonstrates how we developed models that excel at reasoning, coding, and agentic tasks through a unique, multi-stage training paradigm. Key innovations include expert model iteration with…
Introducing DeepPolisher — in collaboration with UC Santa Cruz Genomics Institute, we developed this new open-source method to improve genome assembly accuracy. It reduces indel errors by 70% and total assembly errors by 50%. Learn more: goo.gle/3Hn8PCG
🧬 Big genome research published by Google. DeepPolisher, new open-source method to improve genome assembly accuracy. DeepPolisher shows that even in biology, a lightweight model can bolt onto an existing pipeline and double the quality with almost zero extra cost. A deep…
🧬 Big genome research published by Google. DeepPolisher, new open-source method to improve genome assembly accuracy. DeepPolisher shows that even in biology, a lightweight model can bolt onto an existing pipeline and double the quality with almost zero extra cost. A deep… https://t.co/jWCp0JeVaX
🚀 Expert Parallelism now in 🤗 Transformers! Load the 120B gpt-oss model in under 𝟑 𝐬𝐞𝐜𝐨𝐧𝐝𝐬. Proud to have added Expert Parallelism to transformers for the OpenAI model by adding DistributedConfig as a first step to generalize the TP support. 🔗 github.com/huggingface/tr…
Bye Qwen3-235B-A22B, hello Qwen3-235B-A22B-2507! After talking with the community and thinking it through, we decided to stop using hybrid thinking mode. Instead, we’ll train Instruct and Thinking models separately so we can get the best quality possible. Today, we’re releasing…
🚨 Just launched: Docker for the agent era ✅ Compose now runs full AI agent stacks ✅ Docker Offload = 1-click cloud GPUs on demand ✅ Deploy same file to GCP/Azure One Compose file. From dev to prod. docker.com/solutions/dock… #DockerAI #Compose #Offload #AgenticApps
Microsoft Research just published work saying we’ve trained LLMs the wrong way: random data shuffling isn’t as close to optimal as we thought. Data order, not size, lifts LLM scores. Ordering the same training text changes model quality. DELT shows this, adding 1.7% average…
Introducing BlenderFusion: Reassemble your visual elements—objects, camera, and background—to compose a new visual narrative. Play the interactive demo: blenderfusion.github.io
Baidu just released 23 models at the same time on @huggingface - from 0.3B to 424B parameters. Let’s go!
Google released the Vertex AI Ranking API to fix noisy search and RAG outputs—where up to 70% of retrieved content often lacks relevance. It works as a semantic reranker, optimizing the last step in retrieval by reordering passages using deep semantic understanding. → Two…
🚨 Paper Alert: “RL Finetunes Small Subnetworks in Large Language Models” From DeepSeek V3 Base to DeepSeek R1 Zero, a whopping 86% of parameters were NOT updated during RL training 😮😮 And this isn’t a one-off. The pattern holds across RL algorithms and models. 🧵A Deep Dive
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