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This video originally was going to be about the Linear Attention Saga that happened between June and November last year, but it turned out I needed quite some build up to explain what the significance of Linear Attention, 1 million context window, and compute scaling are. So it accidentally became a 17 mins video...


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Sauces (will try to be in order of apperance)

GPT-OSS
[Code] https://github.com/openai/gpt-oss
[Paper] https://arxiv.org/abs/2508.10925
(they did not mention it is sliding window attention explicitly in its paper)

DeepSeek V3.2
[Paper] https://arxiv.org/pdf/2512.02556

DeepSeek V2 (Multi-head Latent Attention)
[Paper] https://arxiv.org/abs/2405.04434

Kimi K2.5
[Paper] https://arxiv.org/abs/2602.02276

MiniMax
[Text-01] https://arxiv.org/abs/2501.08313
[M1] https://arxiv.org/abs/2506.13585
[M2] https://huggingface.co/MiniMaxAI/Mini...
[Zhihu Blog] https://www.zhihu.com/question/196530...

Qwen-3 Next
[Project Page] https://qwen.ai/blog?id=4074cca803931...

Hunyuan T1
[Project Page] https://tencent.github.io/llm.hunyuan...

Kimi Linear
[Paper] https://arxiv.org/abs/2510.26692

Context Arena (used for comparing long context performance)
[Project Page] https://contextarena.ai/

Gemini 3 Flash
[Blog] https://blog.google/products-and-plat...

Claude 4.6
[Blog] https://www.anthropic.com/news/claude...


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This video is supported by the kind Patrons & YouTube Members:
🙏Spam Maj, Alex, Chris LeDoux, DX Research Group, Poof N' Inu, Deagan, Robert Zawiasa, Ryszard Warzocha, Midwstmakr, Tobe2d, Louis Muk, Akkusativ, Kevin Tai, Mark Buckler, NO U, Tony Jimenez, Ângelo Fonseca, jiye, Anushka, Asad Dhamani, Binnie Yiu, Calvin Yan, Clayton Ford, Diego Silva, Etrotta, Gonzalo Fidalgo, Handenon, Hector, Jake Disco very, Michael Brenner, Nilly K, OlegWock, Daddy Wen, Shuhong Chen, Sid_Cipher, Stefan Lorenz, Sup, tantan assawade, Thipok Tham, Thomas Di Martino, Thomas Lin, Richárd Nagyfi, Paperboy, mika, Leo, Berhane-Meskel, Kadhai Pesalam, mayssam, Bill Mangrum, nyaa, Toru Mon, Lame Plane, Matej Macak, thechoephix


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