DeepSeek-R1
DeepSeek-R1 is a 671-billion-parameter reasoning model developed by DeepSeek, trained via reinforcement learning to achieve state-of-the-art performance on coding and reasoning benchmarks.
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Mentions × Lab Attention
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Timeline
3- Research MilestoneMar 27, 2026
Observed by Google researchers to spontaneously develop internal 'societies of thought' through reinforcement learning.
View source - Research MilestoneMay 27, 2025
Achieved 79.8% on SWE-Bench Verified, matching Claude 3.5 Sonnet's performance
View source- benchmark:
- SWE-Bench Verified
- score:
- 79.8%
- Research MilestoneJan 1, 2025
DeepSeek-R1 model gained significant international attention in 2025 with strong performance on coding and reasoning benchmarks.
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7Deploys
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4Entities that show up in the same articles — shared coverage, not a stated relationship.
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Sentiment History
| Week | Avg Sentiment | Mentions |
|---|---|---|
| 2026-W21 | 0.50 | 1 |
| 2026-W24 | 0.30 | 1 |