class QwenChat: def __init__(self, model, processor, system=None, tools=None): self.model, self.processor = model, processor self.tokenizer = processor.tokenizer self.history: list = if...
For years, the way large language models handle inference has been stuck inside a box — literally. The high-bandwidth RDMA...
Cybersecurity has always had a dual-use problem: the same technical knowledge that helps defenders find vulnerabilities can also help attackers...
Anthropic has never published a technical paper on Claude Mythos. That has not stopped the research community from theorizing. A...
Quantum computing has spent years living in the future tense. Hardware has improved, research has compounded, and venture dollars have...
If you have ever stared at thousands of lines of integration test logs wondering which of the sixteen log files...
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What Is AI Red Teaming? AI Red Teaming is the process of systematically testing artificial intelligence systems—especially generative AI and...
The open-source AI landscape has a new entry worth paying attention to. The Qwen team at Alibaba has released Qwen3.6-35B-A3B,...
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The intersection of many-body physics and deep learning has opened a new frontier: Neural Quantum States (NQS). While traditional methods...
The dominant recipe for building better language models has not changed much since the Chinchilla era: spend more FLOPs, add...
Training a modern large language model (LLM) is not a single step but a carefully orchestrated pipeline that transforms raw...
Google DeepMind research team introduced Gemini Robotics-ER 1.6, a significant upgrade to its embodied reasoning model designed to serve as...
AI agents struggle with tasks that require interacting with the live web — fetching a competitor’s pricing page, extracting structured...
Understanding audio has always been the multimodal frontier that lags behind vision. While image-language models have rapidly scaled toward real-world...
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