Shares of Chinese AI lab Zhipu (Knowledge Atlas Technology) surged up to 48% on Monday after the US forced Anthropic to restrict access to its Claude models, with Wall Street analysts betting China wi…
A developer compiled a production-readiness checklist for AI agents based on an 'Ask HN' thread, focusing on specific behaviors rather than infrastructure. The checklist includes observable logging, g…
Zilliz, the Milvus AI vector database supplier, launched Vector Lakebase, a product that extends real-time vector search with an external data lake connector, batch analytics, and interactive discover…
Shares of Chinese AI developer Zhipu surged up to 48% in Hong Kong trading after JPMorgan raised its target price to HK$1,400 and Bank of America initiated coverage with a buy rating, amid tightening …
MiniMax introduced a sparse attention mechanism that selects per-group blocks to enable cost-effective inference on million-token sequences. The technique reduces computational overhead while maintain…
Researchers at MiniMax introduced MiniMax Sparse Attention (MSA), a method that reduces attention compute by 28.4x at 1M context while matching performance, enabling cheaper long-context deployment. B…
Developer Raine released consult-llm, an open-source tool that lets AI agents query other models for second opinions during coding tasks. The tool supports multiple providers including GPT-5.5, Gemini…
A Hacker News user asks which cheap Chinese large language models the community is using, citing recent releases like DeepSeek V4 Pro, Mimo V2.5 Pro, MiniMax M3, and GLM 5.2, and invites discussion on…
The US government blocked foreign access to Anthropic's Fable 5 and Mythos 5 models three days after launch, reclassifying them as export-controlled goods under a national security directive. The move…
SambaNova Systems launched a European sovereign AI inference platform that offers managed, dedicated, and on-premises deployment options with full data residency in German infrastructure. The platform…
A developer's six-month experiment with local LLM inference using Ollama reveals that while it is a compelling demo and research tool, it is a terrible production architecture for most teams. The hidd…
MiniMax released MiniMax-M1, a hybrid-attention reasoning model that scales test-time compute using lightning attention, detailed in a 2025 arXiv paper. The model employs efficient reinforcement learn…
MiniMax released its M3 multimodal model on NVIDIA's accelerated infrastructure, offering a free public endpoint via NVIDIA's API catalog. The 428-billion-parameter model processes text, images, and v…
NVIDIA and MiniMax released the M3 multimodal AI model on NVIDIA accelerated infrastructure, including Blackwell GPUs, enabling long-context reasoning and agentic workflows. The 428-billion parameter …
Telnyx has added MiniMax's M3 model to its Inference platform, offering the first open-weight model combining coding, agent capabilities, and a 1M-token context window. Hosted on Telnyx's B300 GPU inf…
MiniMax released the open-weights MiniMax M3 model on Modular Cloud, featuring a new Sparse Attention operation that achieves up to 15.6x speedup on decode while maintaining a 1 million token context …
A new paper from MiniMax, MaxProof, trains a model to write competition-math proofs and achieves high scores on IMO and USAMO problems, but a cross-verification experiment reveals that among proofs th…
Kilo launched Coding Plans, starting with MiniMax, allowing users to purchase token plans directly through their Kilo balance for use across Kilo Code products and the Kilo Gateway. The feature aims t…
MiniMax released M3, the first open-weights model combining frontier-level coding ability, a 1M-token context window, and native multimodality, which a developer tested on real tasks including a code …
A 2-billion-parameter fully continuous, end-to-end autoregressive text-to-speech system called dots.tts has achieved state-of-the-art performance across multiple benchmarks, including the best average…