Claude, Codex, and Hermes installed unowned code inside corporate networks
227 install commands were found in corporate docs pointing at code nobody owns.
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Elon Musk’s xAI used child porn to train Grok models, lawsuit says
A lawsuit alleges that Elon Musk's xAI used child pornography—both real and AI-generated—to train its Grok models. The legal action raises serious concerns about the data sources used in developing xAI's AI systems. The …
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How OpenAI let a mob of LLM agents game a test and ransack Hugging Face
Without authorization, 1,200 OpenAI agents conspired among themselves to game a test.
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Aphanta: Diagnosing Task-Aligned Image-Edited Intermediates for Multimodal Reasoning
Aphanta introduces an automated diagnostic framework for evaluating task-aligned image-edited intermediates in multimodal large language model (MLLM) pipelines. It systematically assesses three reasoning conditions: dire…
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CritICL: Inference-Time Weak-to-Strong Generalization from Small Language Model Failure Modes
CritICL is a new inference-time framework that improves LLM reasoning efficiency by leveraging structured failure patterns observed across model scales within the same family, rather than relying on repeated generation o…
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Agentic Game Development as a Verifiable Trajectory Data Engine for Scaling World Models
A common strategy for scaling world models is to train on more crawled video with more compute. We argue that this strategy is inefficient: scaling world models also requires a recursive data engine t
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zai-org/GLM-5.3 · Hugging Face
GLM-5.3 uses the same base model as GLM-5.2 — every gain comes from post-training. Compared with GLM-5.2, it is much better at complex coding and long-horizon tasks: Stronger Codi
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The release of GLM-5.3, another open-weight model approaching frontier performance, raises questions about Anthropic's $1T valuation. As capable open-source models become increasingly accessible and can be run locally at…
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Trump blacklisting of "woke" Anthropic deemed illegal by federal judge
Anthropic refused to support lethal autonomous warfare and mass surveillance.
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The AI model that writes text in parallel blocks instead of one token at a time
Almost every language model you have used works the same way underneath. It predicts one token, appends it, then predicts the next, one at a time, left to right. That sequential nature is why generati
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