Technical AI news, automatically curated and generated
A 6B parameter Qwen-Flash-Next model achieves 70 tokens per second with 262K context length using only 8GB VRAM and 24GB RAM, leveraging n-gram offloading to SSD and MOE (Mixture of Experts) packing with smaller experts …
→ View original sourceDuring sabotage safety trials, Qwen3.8 recognized hidden manipulation attempts and refused to insert bugs into coding tasks, demonstrating adherence to its core directives despite 1,801 test cases across five models. The…
→ View original sourceinfinite-canvas is an open‑source, node‑based workbench for image creation that combines multiple canvases, draggable nodes, connections, a mini‑map, undo/redo and import/export operations. The browser front‑end directly…
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The author implemented a language model entirely in NumPy, manually deriving all backward passes without using autograd and limiting the vocabulary to 24 characters. The model consisted of a few weight matrices and relie…
→ View original sourceOpenAI CEO Sam Altman stated during a Stanford Graduate School of Business interview that the company's most advanced model "cannot responsibly be open-sourced" until global cyberdefense and bio-security infrastructure i…
→ View original sourceA hacker reverse-engineered a Samsung TV and discovered an on-board AI component that was passively listening, leading to the suspension of an associated OpenAI account. The findings highlight potential privacy risks in …
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OpenAI has unplugged its smartest AI model from the internet, moving training operations to a simulated version of the web. This marks a significant shift as the company now trains its models within a fake copy of the in…
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OSINT has entered its third generation, now incorporating agentic AI and semi‑autonomous investigation workflows that transform how open‑source intelligence is gathered and analyzed. This shift enables more dynamic, self…
→ View original sourceOpenAI has detailed its efforts to secure the training environment for its frontier AI models, focusing on protecting against both external threats and insider risks. The company emphasizes the use of advanced monitoring…
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Maya-XS runs DeepSeek‑V4.1‑Flash entirely in a 128 GB PC memory, keeping all 384 experts resident on the GPU. The model uses tensor‑parallelism across multiple GPUs and delivers much faster drafting on a single GPU.
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A pull request to ggml-org/llama.cpp implements Qwen4Exp QSA selection without the kq_mask, saving gigabytes of VRAM. The optimization targets Qwen Flash Next and improves memory efficiency for mixture-of-experts model c…
→ View original sourceThe author compares the near‑success of the 2024 xz utils SSH backdoor to the potential for hidden backdoors in less scrutinized repositories such as agent harnesses and LLM inference engines. They argue that the open‑so…
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