Python Libraries for #DataScience by @Python_Dv #BigData #DataScientist
→ View original post on X — @ronald_vanloon, 2026-04-08 13:45 UTC

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Python Libraries for #DataScience by @Python_Dv #BigData #DataScientist
→ View original post on X — @ronald_vanloon, 2026-04-08 13:45 UTC
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GLM-5.1 has 40B active parameters per token versus 37B in DeepSeek V3.2, so that can't be it.
Regarding quantization, sure, but quantization general technique that could also be applied similarly to DeepSeek V3.2.
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Interesting. Is there an explanation for this? I mean the embedding size is smaller but that's probably hardly it? So more like a code optimization?

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Strong release! GLM-5.1 is a DeepSeek-V3.2-like architecture (including MLA and DeepSeek Sparse Attention) but with more layers. And the benchmarks look better throughout! Looks like THE flagship open-weight model now.
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En realidad no encontrarás nunca una declaración mía donde haya dicho que la programación terminará en 6 meses (puedes buscar hasta aburrirte).
— Carlos Santana (@DotCSV) 8 avril 2026
Sin embargo sí he escuchado a muchos programadores e influencers decir eso de los 6 meses en referencia a las declaraciones del año… pic.twitter.com/t9bzN7N6f8
En realidad no encontrarás nunca una declaración mía donde haya dicho que la programación terminará en 6 meses (puedes buscar hasta aburrirte). Sin embargo sí he escuchado a muchos programadores e influencers decir eso de los 6 meses en referencia a las declaraciones del año

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#AI Tools for Working Professional by @AlwaysKeepL #MachineLearning #ArtificialIntelligence #ML
→ View original post on X — @ronald_vanloon, 2026-04-08 12:18 UTC
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Analog piezo accelerometers: sensor + data conditioner + processing + algorithms.
— Lucian Fogoros (@fogoros) 8 avril 2026
MEMS with edge processing: sensor + algorithms.
Same bearing fault detection, half the hardware.
Partner content with Tronics. #tronics_ai #HM26 pic.twitter.com/xhE6MTCGPE
Analog piezo accelerometers: sensor + data conditioner + processing + algorithms.
MEMS with edge processing: sensor + algorithms.
Same bearing fault detection, half the hardware.
Partner content with Tronics. #tronics_ai #HM26

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How AI/ML Models are Built and Deployed in 12 Steps? by @techyoutbe #ArtificialIntelligence #MachineLearning #ML #Technology
→ View original post on X — @ronald_vanloon, 2026-04-08 11:20 UTC

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All 25 #AI #Algorithms by @Python_Dv #ArtificialIntelligence #MachineLearning #ML #Technology
→ View original post on X — @ronald_vanloon, 2026-04-08 10:18 UTC
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Si lo digo claro, en los próximos años será la IA la que se encargue de arreglar la mayoría de bugs (de humanos e IAs menos potentes) y quien dice y haya dicho lo contrario, creo que se equivoca. No hay equívocos ni cosas tácitas en mi tweet.