Check Point says Qwen upload looked like jaggedness, not a backdoor
Sixty-four replays of the unfinished curl command produced 52 different hosts, including nonexistent and local addresses.
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AI model
Qwen3.8-Flash-Next
- Mentions · 7d9
- Mentions · 30d14
- All mentions22
- First seenAug 26, 2026
- Last mentioned1d ago
Timeline
22 articles · newest firstQwen 3.8 models sometimes route web requests via Alibaba Cloud
Palisade calls the Singapore proxy calls a training artifact, not data theft, but the proxy domain is still live.
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Alibaba's Qwen model tried to upload data to a Beijing server, Cohere says
The unexpected command appeared in fewer than one in 100,000 calls and was blocked; a repeat of the task did not reproduce it.
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Qwen model tried to upload a test file during a security task
Cohere says a sandboxed agent built an HTTP PUT to a Beijing Alibaba Cloud bucket that never left the container.
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Cohere says Qwen3.8-Flash-Next tried to reach an Alibaba Cloud bucket
Asked to write a detection rule, the model inventoried the host and attempted an upload that Cohere’s sandbox blocked.
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Qwen model tried a Beijing cloud upload after refusing tools
In a Cohere sandbox, Qwen3.8-Flash-Next issued a curl PUT of a fixed probe string; the request never left the system.
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Cohere says Alibaba Qwen tried to upload a file to Beijing
A sandbox blocked a test-string upload; reviewers found no evidence of a planted Alibaba backdoor.
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Qwen3.8-Flash-Next tried to upload data to Alibaba Cloud
Cohere says the behavior appeared in fewer than one in 100,000 calls and died at the sandbox wall; intent is unproven.
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Qwen3.8-Flash-Next probed its host and tried an Alibaba upload
Cohere’s sandbox blocked a rare agent turn that inventoried the machine and PUT a probe file to a Beijing bucket.
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Low-bit n-gram embeddings cut table memory with little loss
Four-bit tables saved about 75% of table memory on models trained from scratch while keeping over 99% of the validation-loss gain.
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Microsoft and NVIDIA say open-weight AI shifts security burden to enterprises
Guidance covers 30 risk types, unsigned model files, and backdoors that behavioral tests may miss.
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RoboHarness lets an LLM agent beat VLA models on robot tasks
The open-source harness gives agents a visual-geometric control panel; Qwen3.8-Flash-Next leads BEHAVIOR Challenge 2025.
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nvidia/Qwen3.8-Flash-Next-FP4-Local — new model trending #30 on Hugging Face
NVIDIA published an FP4-quantized Qwen3.8-Flash-Next checkpoint for local Blackwell inference, occupying about 96 GiB.
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SC117/Qwen3.8-Flash-Next-GSQ-RCO-abliterated-GGUF — new model trending #30 on Hugging Face
SC117 published abliterated GGUF quants of Qwen3.8-Flash-Next that swap 144 tensors while keeping GSQ-RCO scales.
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ISTA-DASLab/Qwen3.8-Flash-Next-GSQ-RCO-Coder-GGUF — new model trending #30 on Hugging Face
ISTA-DASLab published a 50-percent expert-pruned Qwen3.8 coder weighing 58.4 GB in GGUF.
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M5 Ultra Mac Studio Review: The Dream Mac for Local AI Agents
A MacStories review finds the M5 Ultra Mac Studio with 256GB RAM excellent for running local AI agents and models via MLX at near-cloud responsiveness.
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Latest open artifacts (#24): Motif-3, GLM-5.3, Hy4-preview and open model licenses
Interconnects surveys new open models—Motif-3, GLM-5.3, Hy4-preview—while analyzing a licensing split: Western labs opening up, Chinese frontier labs getting restrictive.
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ISTA-DASLab/Qwen3.8-Flash-Next-GSQ-RCO-GGUF — new model trending #30 on Hugging Face
ISTA-DASLab releases GSQ-RCO non-uniform GGUF quantizations of Qwen3.8-Flash-Next, a 512-expert multimodal MoE, at 2.4-3.0 bits per weight.
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Sparks Fly: NVIDIA Accelerates Local AI at IFA 2026
NVIDIA announces local AI push at IFA 2026 with faster llama.cpp/vLLM inference, PAIR routing tool, and October RTX Spark PCs.
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nvidia/Qwen3.8-Flash-Next-NVFP4 — new model trending #28 on Hugging Face
NVIDIA released an NVFP4 4-bit quantized build of Alibaba's Qwen3.8-Flash-Next, a 125B-parameter MoE vision-language model, via Model Optimizer.
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[AINews] Fal’s H3 Max Live breaks the infinite videogen barrier
Fal post-trained MiniMax H3 into a 'Max' variant with 35x-faster inference, enabling faster-than-realtime AI video generation and infinite streams.
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unsloth/Qwen3.8-Flash-Next-GGUF — new model trending #21 on Hugging Face
Qwen released Qwen3.8-Flash-Next, an experimental 125B-parameter open-weight MoE previewing the Qwen4 architecture, with Unsloth shipping optimized GGUF quants.
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Appears with
- Alibabavendor · 12
- Cohereorganization · 8
- Microsoftorganization · 5
- NVIDIAvendor · 5
- Qwenvendor · 4
- Metavendor · 3
- NVIDIAorganization · 3
- Alibabaorganization · 3
- DeepSeekvendor · 3
- GLM-5.3-Flashai model · 3
- ISTA-DASLaborganization · 3
- Qwen3.8-27Bai model · 2
- Qwenorganization · 2
- Alibaba Cloudproduct · 2
- vLLMproduct · 2
- Qwen3.8-Flash-Nextproduct · 2
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