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  5. 36Kr · AI

    Memory Tensor Open-Sources MemT 1.0 Series of Memory-Native Models

    Memory Tensor has open-sourced the MemT 1.0 series of memory-native models, comprising two variants: Nano with 36B parameters and 3B activated, and Flash with 288B parameters and 17B activated, built on the Qwen3.6-35B-A3B and DeepSeek-V4-Flash bases, respectively. The models add a memory branch parallel to attention within selected Transformer modules, encoding experience into an updatable matrix state that participates in subsequent generation. Across 500 SWE-bench Verified tasks, Nano achieved an average success rate of 69.73% at key checkpoints, versus a no-experience baseline of 66.07%; under a 128K long history, end-to-end inference speed is approximately 1.86 times that of the full-context approach, and the persistent state footprint per trajectory is one sixty-sixth that of the full-context KV Cache.

    Memory Tensor has open-sourced the MemT 1.0 series of memory-native models, comprising two variants: Nano with 36B parameters and 3B activated, and Flash with 288B parameters and 17B activated, built on the Qwen3.6-35B-A3B and DeepSeek-V4-Flash bases, respectively. The models add a memory branch parallel to attention within selected Transformer modules, encoding experience into an updatable matrix state that participates in subsequent generation. Across 500 SWE-bench Verified tasks, Nano achieve

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    #hot-signal#Model releases#Open-source ecosystem#English text is being prepared.
  6. Unite.AISelected

    Inception releases flagship diffusion large model Mercury 3

    Inception released the diffusion-architecture large model Mercury 3 on October 19, 2026, claiming it surpasses GPT-6 Luna and Claude Haiku 5.5 on multiple benchmarks, reaches a speed of 1068 tokens/s on NVIDIA GPUs, and increases the context window from 260,000 in Mercury 2.5 to 1 million tokens. The launch price is $0.10 per million input tokens and $0.35 for output, with regular pricing at $0.20 and $0.70, and cached input at $0.02. Mercury 3 can be accessed via the Inception API, OpenRouter, Baseten, and Vercel, and is compatible with the OpenAI API; Mercury 2 and 2.5 are no longer available to new users, and existing customers can use them until November 15, 2026.

    Inception released the diffusion-architecture large model Mercury 3 on October 19, 2026, claiming it surpasses GPT-6 Luna and Claude Haiku 5.5 on multiple benchmarks, reaches a speed of 1068 tokens/s on NVIDIA GPUs, and increases the context window from 260,000 in Mercury 2.5 to 1 million tokens. The launch price is $0.10 per million input tokens and $0.35 for output, with regular pricing at $0.20 and $0.70, and cached input at $0.02. Mercury 3 can be accessed via the Inception API, OpenRouter,

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    #hot-signal#Model releases#Reasoning#Agents
  10. Fireworks AI

    Meta's open-weight model Muse Spark Open launches on Fireworks: 816B parameters, 1M context

    Meta's open-weight model Muse Spark Open is available on Fireworks from day one of launch. It is an 816B-parameter MoE model that activates 42B parameters per token, with a 1M-token context window, targeting long-horizon coding and agentic tasks. Fireworks says it ranks first among 75 models on Vals AI's Harvey legal agent benchmark with 25.4%, nearly 4 times that of Claude Opus 5 (6.7%); on the Rogo Big Finance Bench it surpasses Claude Opus 5.5 at every difficulty level. Fireworks validated the weights with its own production stack, scoring 91.1% on AIME26, 89.7% on GPQA Diamond, and 84.3% on SWE-bench Verified, and reproduced consistent results with SGLang.

    e on Fireworks from day one of launch. It is an 816B-parameter MoE model that activates 42B parameters per token, with a 1M-token context window, targeting long-horizon coding and agentic tasks. Fireworks says it ranks first among 75 models on Vals AI's Harvey legal agent benchmark with 25.4%, nearly 4 times that of Claude Opus 5 (6.7%); on the Rogo Big Finance Bench it surpasses Claude Opus 5.5 at every difficulty level. Fireworks validated the weights with its own production stack, scoring 91.

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    #editorial#Product updates#Model releases#English text is being prepared.

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