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Topic: "pipeline-parallelism"
not much happened today
DeepSeek released a new paper on mHC: Manifold-Constrained Hyper-Connections, advancing residual-path design as a key scaling lever in neural networks. Their approach constrains residual mixing matrices to the Birkhoff polytope to improve stability and performance, with only about 6.7% training overhead. The innovation includes systems-level optimizations like fused kernels and activation recomputation, highlighting a frontier-lab integration of math and kernel engineering. Additionally, discussions around long-horizon agents emphasize context management bottlenecks, introducing Recursive Language Models (RLMs) that manage context dynamically rather than relying on larger context windows. This work signals a shift in architectural design and efficiency for base model training and agent development.
NVIDIA to invest $100B in OpenAI for 10GW of Vera Rubin rollout
qwen3-omni deepseek-v3.1 nvidia openai oracle intel enfabrica wayne gpu-infrastructure deterministic-inference reinforcement-learning fp8-precision gpu-performance ai-infrastructure strategic-partnerships investment datacenters cuda-graphs pipeline-parallelism data-parallelism artificialanlys gdb
NVIDIA and OpenAI announced a landmark strategic partnership to deploy at least 10 gigawatts of AI datacenters using NVIDIA's systems, with NVIDIA investing up to $100 billion progressively as each gigawatt is deployed, starting in the second half of 2026 on the Vera Rubin platform. This deal significantly impacts the AI infrastructure funding landscape, potentially supporting OpenAI's $300 billion commitment to Oracle. The announcement caused major stock market reactions, with NVIDIA's market cap surging by $170 billion. Additionally, advancements in deterministic inference for reinforcement learning and FP8 precision gains in GPU performance were highlighted by AI practitioners.
not much happened today
oute-tts-0.3-1b oute-tts-0.3-500m olm-1b qwen-2.5-0.5b hover gpt-4o deepseek-v3 harvey meta-ai-fair stability-ai alibaba deepseek hugging-face text-to-speech zero-shot-learning multilinguality emotion-control motor-control reinforcement-learning local-ai distributed-inference pipeline-parallelism mathematical-reasoning process-reward-models legal-ai education-ai ai-security humor reach_vb drjimfan vikhyatk mervenoyann aiatmeta iscienceluvr alibaba_qwen awnihannun ajeya_cotra emollick qtnx_ designerx
Harvey secured a new $300M funding round. OuteTTS 0.3 1B & 500M text-to-speech models were released featuring zero-shot voice cloning, multilingual support (en, jp, ko, zh, fr, de), and emotion control, powered by OLMo-1B and Qwen 2.5 0.5B. The HOVER model, a 1.5M-parameter neural net for agile motor control, was introduced, leveraging human motion capture datasets and massively parallel reinforcement learning. kokoro.js enables running AI models locally in browsers with minimal dependencies. Meta AI awarded $200K LLM evaluation grants for projects on regional language understanding, complex reasoning, and interactive programming environments. Stability AI's Twitter account was hacked, prompting security warnings. Alibaba Qwen improved Process Reward Models (PRMs) for better mathematical reasoning using a consensus filtering mechanism. DeepSeek V3 uses pipeline parallelism to enhance distributed inference and long-context generation efficiency. Discussions on AI policy in legal frameworks and AI's role in democratizing education were highlighted. Lighthearted AI-related humor was also shared.