Search “Reasoning”

Tencent Hunyuan has released the technical report for Hy-Nomas, an interactive video world model, and has open-sourced Hy-Nomas-Bench for reproducible research. Officially, Hy-Nomas was also used to reproduce Genie 4's examples and a comparison video was released, along with an online demo that requires no waitlist. Earlier introductions stated that Hy-Nomas supports free interaction with text prompts and camera trajectories, long-horizon generation with world memory, lightweight LoRA adaptation

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Artificial Analysis releases the Progress Index and simultaneously launches Intelligence Index v5. The Progress Index uses item response theory to estimate a general capability score for each model from all evaluations (including tasks that have been retired or not included in the Intelligence Index), for cross-time comparison; the Intelligence Index is still used to measure the intelligence level of current models. Its data shows that after the emergence of reasoning models, the frontier has im

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In solar-storage projects, Jingneng Cloud uses edge gateways to unify protocols such as Modbus TCP/RTU and DL/T645 into a JSON Schema reported via MQTT; in the cloud, EMQX, Kafka, and Flink clean the data before writing it to TimescaleDB, keeping the P99 latency of 30-day data queries within 200ms. Electricity price forecasting uses LightGBM, charging and discharging strategies use a rule engine plus an optimization solver, and the ONNX inference service, with a single replica of 2 cores and 4G,

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Ceva announced that the 2026 Ceva Edge Technology Seminar will be held on November 5 at the Hilton Hotel in Zhangjiang, Shanghai, targeting semiconductor engineers, SoC architects, and embedded developers. The event is divided into two tracks: AI and Sensing, and Connectivity Technology. Topics cover the memory and bandwidth bottlenecks of LLM inference, NPU architectures for generative and multimodal AI, AI applications below 1TOPS, as well as Bluetooth 7, Wi-Fi 7/8, UWB, and 5G NTN custom chip

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Moore Threads' revenue in the third quarter of 2026 was 1.552 billion yuan, up 1773.92% year on year, with non-GAAP net profit attributable to shareholders of 20.0724 million yuan, turning positive on a single-quarter basis for the first time, for a non-GAAP net margin of about 1.29%. Cumulative revenue for the first three quarters was 3.289 billion yuan, non-GAAP net profit attributable to shareholders remained a loss of about 131 million yuan, and net cash flow from operating activities was -3

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TMTPost's Digital Intelligence Frontier reviewed the impact on the embodied intelligence industry in the roughly 50 days since OpenAI released GPT-6 Astra: Astra can directly control a robotic arm to complete tasks such as drawing a bridge without training on specialized robot data, and Nvidia's Jim Fan said it pushed the benchmark of his company's robotics framework to about 99%. However, an evaluation by SenseTime together with multiple institutions concluded that while it already has the abil

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TMTPost's Large Model Home compared Anthropic's prospectus with Zhipu's interim report, pointing out that Chinese and U.S. large-model companies are taking two different commercialization paths. In the first half of the year, Anthropic reported revenue of $16.29 billion and a net loss of $80.7 billion, of which $72.4 billion came from fair value losses on convertible notes caused by rising valuations, while its operating loss narrowed to $693 million; Zhipu reported revenue of 954 million yuan a

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Japanese semiconductor package substrate manufacturer Ibiden plans to invest 1.28 trillion won to expand production capacity for high-performance CPU package substrates used in AI servers, with new equipment to be phased into operation starting in fiscal year 2029. Ibiden expects demand for CPU substrates to continue rising as AI inference workloads grow and agentic AI becomes more widespread. In the first half of fiscal year 2026, its revenue was 262.546 billion yen and operating profit was 60.

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On October 29, Kakao open-sourced two embedding models on Hugging Face, Kanana-2-3b-embedding (3 billion parameters) and Kanana-2-1.3b-embedding (1.3 billion parameters), targeting personalized AI agents and RAG scenarios. Kakao said that in internal evaluations, the two models outperformed llama-nemotron-embed-1b-v2 and Qwen3-Embedding-4B of comparable scale in Korean retrieval performance, with comparable English performance and higher inference efficiency, while memory usage and inference spe

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Microsoft has opened the GitHub Copilot agent harness public preview through the Foundry Agent Service in Microsoft Foundry, offering built-in sandboxes, reusable skills, MCP integration, and sub-agent support; the same harness already supports Copilot Code, Copilot Studio, GitHub Copilot, CLI, and VS Code. When creating a prompt agent, this harness must be selected and cannot be changed afterward; CPU, memory, and idle duration are controlled by Microsoft, and bring-your-own-model is not suppor

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At GitHub Universe, Microsoft announced multiple updates, saying it is redefining the SDLC for the agent era. GitHub Copilot Fusion is claimed to reach frontier-level quality, with a 40% speed improvement and up to 77% lower cost; the unified Copilot harness has entered Foundry as a managed service for building long-running agents that can reason, call tools and complete work; Copilot Projects provides an orchestration loop for multi-agent collaboration across repositories. Microsoft also said i

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Mistral has released the model weights of its flagship model Large 4 (ML4), which was previously available only as an API preview. After three weeks of testing by customers and cybersecurity partners and further training with reinforcement learning, ML4's success rate on Terminal-Bench 4.0 rose from 28% to 41%, and two new reasoning effort levels, Low and Medium, were added. Mistral research lead Pierre Stock said that at equivalent capability the new version uses about 50% fewer tokens than the

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GitHub announced that on top of its August expansion it is adding more than 4 million additional CPU cores and 160 PB of storage, and rebuilding its Git architecture to decouple compute from storage, which it says can deliver up to a 35x throughput improvement. At the GitHub Universe conference, Copilot Fusion became generally available, routing frontier models across three tiers—Standard, High, and Max—based on task difficulty; the company says the Max tier improves task completion rates while

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On October 28, 2026, NVIDIA released the speech transcription and translation model Nemotron 3.5 Transcribe, supporting 40 languages including Japanese and capable of transcribing recordings up to 1 hour long. The model is an open-weight 30B MoE architecture that activates approximately 4B parameters during inference, can specify via text instructions whether to retain filler words and how numbers are written, and supports speaker diarization for up to 8 people and bidirectional Japanese-English

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South Korean inference chip startup FuriosaAI has completed a $620 million funding round at a valuation of $2.9 billion, led by the Korea National Growth Fund with a $280 million investment. The company says its TCP chip, based on the RNGD architecture, consumes less than half the power of Nvidia GPUs and is compatible with PyTorch and vLLM; this round of funding will be used to expand production capacity for its next-generation TCP chips, with plans to produce 20,000 units this year and double

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Mistral AI announced that it is opening the weights of its frontier model Mistral Large 4 (codename Le Chonk), which has 1 trillion parameters with 52 billion active parameters and native multimodal support. ML4 was trained in a European data center on 3,800 Nvidia Grace Blackwell GPUs, improving from 28% to 41% on Terminal-Bench 4.0, tying GLM-5.3 for the best coding-agent score while using an average of 47% fewer tokens per task. Open weights mean enterprises can deploy it on their own hardwar

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Hangzhou-based compute-in-memory AI chip company Weinan Hexin has completed an over 1 billion yuan C2 round of financing, led by Jiantou Investment, with the funds used for product development iteration and supply chain mass production stocking. Combined with the C1 round completed in September, the company raised over 2 billion yuan within two months and a cumulative 3 billion yuan in half a year. Its 3D-CIM architecture targets large model inference; all three chips for edge-side and cloud-sid

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The New Stack published an article discussing how to safely take over work after an AI agent crashes: before dispatching a refund, the application first writes the amount, authorization, idempotency key, and status to transactional storage, and the replacement agent inherits the original operation rather than re-reasoning. The article points out that durable execution frameworks such as LangGraph and Temporal can restore progress, but cannot determine whether the payer has already submitted the

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