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.
GENERATIVE AI
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GLM-5.1 Active Parameters Comparison with DeepSeek V3.2
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Building AI Brains: Why Local First Architecture Matters
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Absolutely! If you're building an AI brain, you cannot send the entire data to any API. Local first is a must.
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AI Coordination Layer Matters More Than Open vs Closed
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This is why I think the open source vs closed debate matters less than people think. The real question is the coordination layer above any single model or company
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GLM-5.1: New Flagship Open-Weight Model with Superior Benchmarks
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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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AI in Drug Discovery and Clinical Trials: Rev Philadelphia
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One day. One room. Speakers from @GSK
, @bmsnews and beyond sharing how they're scaling AI in drug discovery, clinical trials, and regulated deployments. Rev Philadelphia is built for life sciences leaders. See the speakers and secure your seat: https://
hubs.ly/Q049Fqp_0 -
Running a 754B Parameter Model at Home: Practical Advice
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does anyone have advice for how to run a 754b parameter model at home? i am quite serious.
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Sam Altman: Major Shift Already Happened, Society Catching Up
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📁 Sam Altman, CEO of OpenAI, says this moment feels like right before something big.
— Jon Hernandez (@JonhernandezIA) 8 avril 2026
Like the early days of COVID, when few saw it coming.
The shift has already happened.
But society has not caught up yet. pic.twitter.com/Q0XQ92aK7a📁 Sam Altman, CEO of OpenAI, says this moment feels like right before something big. Like the early days of COVID, when few saw it coming. The shift has already happened. But society has not caught up yet.
→ View original post on X — @ceobillionaire, 2026-04-08 12:41 UTC
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Programmers Predictions on AI Development Timeline Clarified
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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/t9bzN7N6f8En 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
