Observed Signal · Feb 19, 2025 · Technical Release · Source: Trending Topics · Impact: 3/5 · Sentiment: Positive
Researchers Release Uncensored Open-Source Version of DeepSeek-R1
Perplexity AI's research team has developed and released an uncensored version of the Chinese AI model DeepSeek-R1, named "R1 1776". The model was post-trained using an adapted Nvidia NeMo 2.0 framework to remove censorship restrictions on topics like Taiwan, the Uyghur minority, and the Tiananmen Square events. The researchers identified around 300 censored subject areas, created a multilingual censorship classifier, and collected 40,000 multilingual prompts for training. Extensive testing with over 1,000 examples confirmed that the model now responds freely to sensitive topics while preserving its mathematics and reasoning capabilities. R1 1776 is available as open source via HuggingFace and through the Sonar API.
Significant open-source AI model release that could influence AI adoption in marketing and content generation tasks, though not directly advertising-specific.
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Key Takeaways & Evidence Grounding
- Perplexity AI released an uncensored variant of DeepSeek-R1 named 'R1 1776' as open source.
- The model was post-trained to remove censorship on approximately 300 topics using an adapted Nvidia NeMo 2.0 framework.
- A dataset of 40,000 multilingual prompts was used for post-training.
- The model is available on HuggingFace and via Perplexity's Sonar API.
- Benchmark tests indicate that original mathematics and logical reasoning abilities were preserved.
Connected Companies & Entities
3 Entities mapped“...des chinesischen KI-Sprachmodells DeepSeek-R1......”
“Ein Forschungsteam des AI-Startups Perplexity hat eine modifizierte Version des chinesischen KI-Sprachmodells DeepSeek-R1 entwickelt....”
“...mittels einer angepassten Version des Nvidia NeMo 2.0 Frameworks....”
Ontology Mapping & Concepts
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