MarkTechPost 人工智能
StepFun has released Step 5 Preview as open weights. FP8 and BF16 checkpoints are live on Hugging Face and ModelScope. Step 5 Preview is a sparse Mixture-of-Experts model from StepFun built for long-horizon agentic…
MarkTechPost 人工智能
Perplexity has open-sourced SPACE, the sandbox platform behind every task in Perplexity Computer. The Perplexity SPACE sandbox gives each agent task its own Firecracker microVM. Credentials and outbound traffic are…
MarkTechPost 人工智能
Liquid AI released d1-ultra, a text and image decision model that returns calibrated probabilities in 1 forward pass. It scores 65 on the Artificial Analysis Decision Index and costs $0.042 per million input tokens. The…
MarkTechPost 人工智能
Meta released Muse Spark Open, an 816B-parameter open-weight MoE model with 42B active parameters and a 1M-token context. It leads open models on MCP-Atlas and runs on 2 M5 Ultra Mac Studios. The post Meta Releases Muse…
MarkTechPost 人工智能
NVIDIA released Nemotron 3.5 Super VL, an open 120B-parameter multimodal MoE model with 12B active parameters, 1M-token context and NVFP4 weights that run on 1 DGX Spark, plus 2 Bolt edge models. The post NVIDIA…
MarkTechPost 人工智能
Introduction Teams shipping AI agents at scale keep running into the same pattern. Even agents built on top-tier models like Fable and Astra struggle to carry out complex, end-to-end tasks inside a specific product…
MarkTechPost 人工智能
At Open Source Summit Europe 2026, openKylin outlined its vision for transitioning from resource management to intent management in the AI era. The community introduced KART, a unified AI runtime, alongside core desktop…
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Aikido Security's Altar-1 compresses GLM-5.3 from 1.51 TB to 328 GB, runs on 4x H200 for on-prem pentesting.
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Perplexity Research pairs RFT with hint-guided self-distillation on GLM 5.2, reducing live tool-call failures by 21.2% between checkpoints.
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Fastino's GLiNER2.5-Decide is a 340M open-weight encoder that returns rule-constrained, scored decisions on CPU for routing and guardrails.
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FLUX 3 Action from Black Forest Labs is a 7B open-weights world action model topping RoboLab-120 at 42.92%.
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BottleCap AI's ThinkingCap-Qwen3.8-27B cuts thinking tokens 37.2% across 12 benchmarks with only 0.86pp accuracy loss. Drop-in for vLLM.
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Contrastive-LM's CLM-8B scores agent actions instead of generating text, running up to 9× faster than TypeSafe's Jev zero-shot.
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Learn how to use TypeSafe AI's Jev model in Python for typed decisions, confidence scoring, and async deployment
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Google's Gemini 3.8 Flash TTS and Flash-Lite TTS add prompt-based voice design, 2,000+ voices, and 100+ language support.
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NVIDIA's Nemotron 3 Diarization is a 100M-parameter open-weight model that tracks 8 overlapping speakers in real-time streaming audio.
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Nokia's open-source AnyJev turns open LLMs into calibrated decision models with no training, lifting automatable traffic 6.8x
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