Key Takeaways:
- 1. A group of quantum physicists created a version of the AI model DeepSeek R1, called DeepSeek R1 Slim, that is smaller and claims to have eliminated Chinese censorship.
- 2. Multiverse Computing used a quantum physics approach to compress and remove specific bits of information from the model without losing performance.
- 3. Efforts are being made in the AI industry to compress models efficiently, with a focus on removing biases and censorship.
Multiverse Computing developed DeepSeek R1 Slim, a smaller version of DeepSeek R1 that eliminates Chinese censorship. By using a quantum physics approach, researchers were able to compress the model without sacrificing performance. The uncensored model provided factual responses comparable to Western models. Efforts to make AI models more efficient and bias-free are growing, with techniques like quantization and pruning being explored. However, challenges remain in fully removing censorship from Chinese models due to its dynamic and complex nature.
Insight: Efforts to compress AI models and remove biases are gaining traction, with a quantum-inspired approach showing promise in eliminating censorship. Challenges persist in fully eradicating censorship from Chinese models due to its deep integration in AI training processes.
This article was curated by memoment.jp from the feed source: MIT Technology Review.
Read the original article here: https://www.technologyreview.com/2025/11/19/1128119/quantum-physicists-compress-and-deconsor-deepseekr1/
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