Anthropic IPO Valuation Slumps to $80B
AI market rout deepens with valuations revised downward as Anthropic targets $100B run rate.
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AI market rout deepens with valuations revised downward as Anthropic targets $100B run rate.
Analysis details token routing differences across leading Mixture of Experts models.

Apache 2.0 weights ship next week after safety testing; ranks 31 on Artificial Analysis Index.
Sparse autoencoders trained on Qwen3-30B-A3B show distinct experts for specific tasks like Java coding and geometry.
NVIDIA demonstrates three methods to accelerate Mixture-of-Experts inference, increasing Ling-3.0-flash throughput by 42.5% on DGX Spark.
Sonar-MoE updates expert tensors in the backward pass to cut peak memory by 19-22% for MoE models.
A 763B-parameter MoE model pruned to 72.1 GB and 1.05 bits per parameter, optimized for code and agentic workflows.
179.9GB version of 753B-parameter GLM-5.3 MoE drops to 563B by NAS, scores 92.7% HumanEval and fits single B200.
Kimi K3.1 Pro is an open-weight MoE model with 1M token context and 104B activated parameters.
The NAS build keeps 384 of 512 experts, cuts weights about 16%, and was merged after GRPO-style LoRA.
AINews covers Meta’s Muse Spark Open and Reflection Beam 1.0 alongside Gemini, Anthropic, and OpenAI updates.
StepFun released Step 5 Preview open weights: a 600B MoE with 27B active parameters and 1M context.

Meta released Muse Spark Open, an 816B MoE that leads US open-weight models on Artificial Analysis.
Meta released Muse Spark Open, an 816B open-weight MoE with a 1M-token context.

NVIDIA released Nemotron 3.5 Super VL, a 120-billion-parameter open multimodal agent model activating 12 billion parameters.
Tencent released Hy-Memory-30B-A3B, a 3B-active memory writer that leads Mem0, MemOS, and Hy-Memory scores.
Janas streams LLM experts from SSD so models larger than RAM can run locally.
Virtual Head Attention cuts KV cache versus GQA while improving quality and folding into standard GQA inference.
Cloudflare released Clef-omni, a 30B-A3B Apache-2.0 model that scores text, image, audio, and video.
AutoTrust released JEV-35B-NVFP4, a 4-bit quantization of its 35B decision model that cuts GPU memory by 65%.
Elastic Latent Recurrence trains looped language models to match standard accuracy at one loop and improve with extra loops.
autotrust released an unofficial pruned NVFP4 GLM-5.3-Flash build that fits two NVIDIA DGX Sparks.
Mistral previewed Mistral Large 4, a 1-trillion-parameter model with 49 billion active parameters.
OpenBMB released GGUF weights for MiniCPM-V 4.7 35B-A3B, an on-device multimodal MoE model.
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