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Oct 7

Oct 7Wed
  1. OpenBMB (MiniCPM) · new models on Hugging FaceOfficialAI score72

    OpenBMB releases MiniCPM-V 4.7 35B-A3B, its first open-source on-device MoE vision model

    AIOpenBMB releases MiniCPM-V 4.7 35B-A3B, which it calls the first open-source MoE model to run smoothly on-device without compromising performance.

    Why it matters: The source details how Lookahead Expert Scheduling, layer-wise quantization, and speculative sampling aim to run an MoE model on-device, useful context for anyone tracking on-device deployment.

Oct 6

Oct 6Tue
  1. meng shaoXAI score48
    Image from @shao__meng's post

    Independent review layer keeps LLM data agent from judging its own SQL

    AIA data analysis agent built by @Sumanth_077 separates generation, deterministic guardrails, and review: Qwen writes read-only SELECT queries, code enforces hard rules such as a single SELECT, SQLite read-only mode, and a 200-line limit, and a separate TypeSafe AI Jev model checks question clarity, SQL relevance, and whether answers are grounded in returned rows.

  2. MiniMax (official)OfficialAI score4

    MiniMax lists upcoming events on its Luma event page

    AIMiniMax tagged several partner companies, including Friendli, Anaconda, Kilo Code, Novita, Artificial Analysis, Nous Research, RadixArk, and Vercel, in a post directing readers to its event listings.

  3. MiniMax (official)OfficialAI score12
    Image from @MiniMax_AI's post

    MiniMax hosts AI events at SF Tech Week with partner companies

    AIMiniMax is taking part in SF Tech Week with a series of events on October 6, 7, and 8, featuring partners including Friendli.AI, Anaconda, Kilo Code, Novita AI, Artificial Analysis, Nous Research, RadixArk, Vercel, Fireworks AI, DigitalOcean, Modular, and Evermind.

  4. StepFunOfficialAI score8
    Image from @StepFun_ai's post

    StepFun joins SF Tech Week with a Bay Area presence

    AIStepFun says it is taking part in SF Tech Week, with its presence visible along Highway 101 on the way into San Francisco. The post frames the company as part of the builder, researcher, and team gathering across the Bay Area this week.

  5. ARC PrizeOfficialAI score14

    DeepSeek to share ARC-AGI-3 results in coming weeks

    AIDeepSeek says its ARC-AGI-3 evaluations are more operationally intensive than expected, so results will follow once testing is complete. The scores will be reported with a new DeepSeek provider adapter harness.

  6. Guillaume Lample @ NeurIPS 2024XAI score26
    Image from @GuillaumeLample's post

    Mistral model beats GLM 5.3 on STEM, CAD, and finance tasks

    AIOn human evaluation, the model outperforms GLM 5.3 on STEM, CAD, and finance tasks and performs on par on agentic coding. The post is part 5 of a thread, so the model's name and other details come from earlier posts not included here.

  7. IThome · AINewsAI score41

    Strata engine runs quantized Qwen3.8-Flash-Next 125B on 12GB VRAM GPUs

    AIDeveloper Niko1221 open-sourced Strata, an engine that runs quantized Qwen3.8-Flash-Next, a 125B-parameter model, on consumer GPUs with at least 12GB of VRAM. It loads the MoE model into RAM and keeps only frequently used experts in VRAM, and uses a lightweight model for speculative decoding.

  8. KhazixXAI score12
    Image from @Khazix0918's post

    Khazix says Claude may now support Chinese

    AIKhazix on X says he may be seeing things, asking whether Claude now supports Chinese. The post contains no further details, specifications, or official confirmation.

Oct 5

Oct 5Mon
  1. KrASIA · Big TechNewsAI score68

    US and China AI release cycles shorten as AI takes on more R&D work

    AINikkei found the average gap between upgraded high-performance model releases among five US and four Chinese developers fell from 125 days (January 2023 to March 2026) to 44 days (April to September 2026).

    Why it matters: The piece links faster release cycles to AI systems doing much of their own R&D, a shift that bears on how developers and regulators track model progress.

  2. Epoch AIOfficialAI score62

    China faces larger semiconductor supply-chain losses than the US, Epoch AI finds

    AIEpoch AI finds that China spends about 2.7 times as much of its final demand on semiconductor producers as the US does, measured as chip revenue per $1,000 of spending in 2022.

    Why it matters: The study adds a separated semiconductor input-output dataset, showing China's exposure to chip disruptions is larger than the US's, which helps readers judge supply-chain risk.