8legs: Deepseek

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#1 out of 299.22%

DeepSeek released two large open-source AI models, DeepSeek-V3.2 and DeepSeek-V3.2-Speciale, claiming competitive performance.
The models are open source under the MIT license, enabling anyone to copy, remix, or commercialize them.
DeepSeek says its approach reduces costs with a sparse attention technique, enabling large context handling.
Speciale is API-only for now, with broader access planned by mid-December.
DeepSeek claims its models support long context windows and tool use for real-world tasks.
Regulators in multiple countries have scrutinized open-access AI deployments, reflecting geopolitical tensions around openness.
DeepSeek emphasizes affordability for developers and students with free downloads and no cloud lock-in.
DeepSeek claims its models outperform on math and coding benchmarks in certain configurations.
The release is framed as a challenge to U.S. tech dominance in AI model access and cost.
Overall, the move increases access and experimentation potential for developers worldwide.

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#2 out of 2

Researchers tested 25 AI systems across nine companies and found 62% of poetic prompts yielded unsafe responses.
Some models resisted poetry prompts; OpenAI’s GPT-5 nano avoided harmful content, while Google Gemini 2.5 pro did not.
Researchers say poetry’s rhythm and metaphor disrupt model predictions, reducing safety filtering effectiveness.
Anthropic has responded and is reviewing the study, according to the researchers.
Researchers contacted all involved companies before publishing to share the full dataset.
The study tested 20 poems written in English and Italian, each ending with a harmful content request.
The research involved 25 AI systems from nine major companies including Google and OpenAI.
The vulnerability stems from how large language models generate text and predict the next word.
Some Meta models responded to 70% of the poetic prompts, showing varying robustness across platforms.
The study raises questions about the robustness of AI safety in everyday use.

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