Hackernews posts about MoE

1. 01
   

   newStrata: Qwen3.8-Flash-Next (125B Moe) on a 8GB+ Nvidia GPUgithub.com

   ▲ 5simonpure6ddiscusssavesaved
2. 02
   

   newStepFun teases Step 5 Preview, a 600B/27B MoE, open weights coming Oct 15twitter.com

   ▲ 3WavyPeng13d💬 1savesaved
3. 03
   

   newSSD-Llama: SSD-Native Inference for Trillion-Parameter Moe on a Consumer PCarxiv.org

   ▲ 3AlmostCosmo7916ddiscusssavesaved
4. 04
   

   newShow HN: Llama.cpp fork with 2-4x multiGPU speed for MoE models bigger than VRAMgithub.com

   ▲ 2neuralll9d💬 3savesaved
5. 05
   

   newI joined the 'anti-chatbox' interface movement, and build Moe because of itmoebot.app

   ▲ 2yisrael_g18d💬 1savesaved
6. 06
   

   newShow HN: Moe Routing Atlas – which experts fire in Qwen3.5/3.6 35B-A3Bgslaller.github.io

   ▲ 2gslaller5ddiscusssavesaved
7. 07
   

   newXing4.0-29B-A4B: China Telecom's Moe Model Trained on Ascend NPUswww.mindstudio.ai

   ▲ 2Bluestein14ddiscusssavesaved
8. 08
   

   newShow HN: I made a tiny MoE/Engram viz toolsw-ml-study.github.io

   ▲ 2softwarewright21ddiscusssavesaved
9. 09
   

   newThe Newsroom EP01 – OpenAI Ships GPT-5 to Azure – DeepSeek Open-Sources 236B Moewww.youtube.com

   ▲ 2LebToki23ddiscusssavesaved
10. 10
    

    newEmpirical Research on MoE Safety Mechanismsdealign.ai

    ▲ 2Bluestein24ddiscusssavesaved
11. 11
    

    newExtending Raschka's GPT-2: an MoE trained from scratch on an RTX 3090www.gilesthomas.com

    ▲ 2ibobev24ddiscusssavesaved
12. 12
    

    newDense vs. Moe Models: Active Parameters, Throughput, and When to Choose Eachdeveloper.nvidia.com

    ▲ 1pretext19ddiscusssavesaved
13. 13
    

    newExtending Raschka's GPT-2: an MoE trained from scratch on an RTX 3090www.gilesthomas.com

    ▲ 1gpjt24ddiscusssavesaved
14. 14
    

    newFractal-BLT – Zero-allocation .NET 10 MoE runtime streaming NVMe to GPUgithub.com

    ▲ 1Ctrl_Alt_Haze27ddiscusssavesaved
15. 15
    

    newShow HN: Mini-AGI – Dynamic continual learning model trained on 8GB VRAMgithub.com

    ▲ 277volotat14d💬 81savesaved
16. 16
    

    newAsk HN: What do AI improvements at these labs look like?

    ▲ 2xyzsparetimexyz21ddiscusssavesaved
17. 17
    

    newShow HN: Way to divide parameter space in LLM trainingzenodo.org

    ▲ 1genji9708ddiscusssavesaved
18. 18
    

    newShow HN: PicoLM v1.0-rc2 ("Yura Kana"). Run an LLM on Digital Unixgithub.com

    ▲ 1gabucino11ddiscusssavesaved
19. 19
    

    newReverse engineering my e-scooter and rewriting the firmware in Rustbensimms.moe

    ▲ 452vinhnx25d💬 105savesaved
20. 20
    

    newDon't call yourself an artisanal programmerpurplesyringa.moe

    ▲ 57emschwartz22d💬 65savesaved
21. 21
    

    newVibe Coding Production Kit – a production workflow for AI coding agentsgithub.com

    ▲ 9Moeeryani10d💬 6savesaved
22. 22
    

    newGrieving the Loss of Detailspurplesyringa.moe

    ▲ 6ibobev10ddiscusssavesaved
23. 23
    

    newWrite While Learningpurplesyringa.moe

    ▲ 6dalvrosa15ddiscusssavesaved
24. 24
    

    newGrieving the Loss of Detailspurplesyringa.moe

    ▲ 4ibobev9d💬 2savesaved
25. 25
    

    newWrite While Learningpurplesyringa.moe

    ▲ 3meetpateltech16ddiscusssavesaved
26. 26
    

    newSqueezing rust onto more things, this time: Flashlightsbensimms.moe

    ▲ 3Bluestein21ddiscusssavesaved
27. 27
    

    newEvergardenevergarden.moe

    ▲ 3birdculture23ddiscusssavesaved
28. 28
    

    newWe Spoke with Entrepreneurs Living the "7 Vibe 3" Lifestylecadence.moe

    ▲ 2xyzsparetimexyz24d💬 3savesaved
29. 29
    

    newEvergardenevergarden.moe

    ▲ 2birdculture13ddiscusssavesaved
30. 30
    

    newReverse engineering my E-Scooter and rewriting it in Rustbensimms.moe

    ▲ 2nitros26ddiscusssavesaved

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