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A Year Into Making LLMs, and now OS SoTA?!
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1
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0
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16 June 2026
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The Insane Infrastructure Design of DeepSeek V4
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1
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4
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5 June 2026
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The Insane Infrastructure Design of DeepSeek V4
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0
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2
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5 June 2026
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How DeepSeek V4 Broke AI’s Cost Curse
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1
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3
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27 May 2026
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Kimi AI's Huge LLM Breakthrough Is Fascinating [Attention Residuals]
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1
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1
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18 May 2026
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AI Simulated OS Is Absurd
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1
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12
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8 May 2026
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A new way to fine-tune LLMs just dropped
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1
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2
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27 April 2026
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"Claude Mythos Found Thousands of Zero-days..."
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1
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1
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17 April 2026
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The Most Clever Trick To Speedup LLMs
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1
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2
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1 April 2026
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Why can’t LLMs just LEARN the context window?
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1
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0
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30 March 2026
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DeepSeek's Insane Architecture Breakthrough [Engram Explained]
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1
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4
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24 March 2026
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The Infinite Context LLM Trick? Recursive Language Model Explained
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1
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1
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16 March 2026
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Kimi K2.5 & The 3 New LLM Frontier
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1
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0
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1 March 2026
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DeepSeek Just Added Parameters Where There Were NONE
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1
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1
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17 February 2026
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The AI Development That’s Stopping Memory Costs To Go Down
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1
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3
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14 February 2026
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LLM’s Billion Dollar Problem
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1
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3
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10 February 2026
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Chinese DoorDash Is Making Better LLMs Than Meta
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1
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4
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28 January 2026
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The RL Irony in LLMs (And its insane new Meta)
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1
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0
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21 January 2026
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The New China AI Trifecta
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1
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5
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13 January 2026
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DeepSeek V3.2 Just Broke SoTA Again… But How?
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1
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15
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8 December 2025
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How this tiny model beat ChatGPT on the “AGI” benchmark [HRM & TRM]
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1
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3
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4 December 2025
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The biggest Mystery of LLMs have just been solved
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1
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3
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16 November 2025
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The Chinese AI Iceberg
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1
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12
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1 November 2025
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Researchers Are Getting Really Creative Training LLMs
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1
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10
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16 October 2025
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The Final Boss of Making AI Wrapper: Context Engineering Explained
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1
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2
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30 September 2025
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Is It EVEN Possible To Reverse Engineer AI’s Training Data?
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1
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5
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20 September 2025
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New AI Paradigm?! Energy-Based Transformers Explained
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1
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3
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6 September 2025
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AI Researcher's New Trick: Train LLMs To Explore On "Hard" Tokens
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1
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4
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31 August 2025
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AI's 7-year default is getting dethroned?! Kimi K2's Muon Explained
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1
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6
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26 August 2025
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What’s Stopping AI From Self-Improving Infinitely?
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1
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12
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31 July 2025
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