Push an AI Hard Enough and Its Ethics Collapse
Researchers at Polytechnique Montréal stress-tested three major LLMs with sustained adversarial pressure. DeepSeek-v3 showed the steepest ethical degradation. None fully recovered.
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Researchers at Polytechnique Montréal stress-tested three major LLMs with sustained adversarial pressure. DeepSeek-v3 showed the steepest ethical degradation. None fully recovered.
Meta's first model from its new Superintelligence Labs is closed-source, proprietary, and requires a Facebook login. The company that built Llama just locked the door.
Google, Alibaba, Meta, Mistral, OpenAI, and Zhipu all ship competitive open-weight models under permissive licenses. The battleground shifts from benchmarks to inference speed on your actual GPU.
As Meta pushes its flagship AI model to May, considers licensing from Google, and loses its legendary chief scientist, the company's $135 billion AI bet faces its biggest test
Internal documents reveal Meta's AI safety researchers flagged serious concerns about Llama 4 testing. Leadership released the model anyway.
A Toronto startup is etching LLM weights directly into transistors, achieving 17,000 tokens per second. The catch: you can't change the model.
Forget the marketing - here's how the latest open-weight models actually perform on your GPU, from 8GB budget cards to 24GB workstations.