• Home
  • Technology
  • Gaming
  • Entertainment
  • World & Business
  • Science
  • Sports
  • AI
HomeTechnologyGamingEntertainmentWorld & BusinessScienceSportsAI
AI

GLM 5.3 and why cheaper tokens might mean more HBM

SemiAnalysis previews a discussion of sparse attention and a memory bottleneck it says nobody is pricing in.

1 Source, 1h ago, first seen 1h ago

TLDR

SemiAnalysis previews a GLM 5.3 discussion about sparse attention and a memory bottleneck it says nobody is pricing in. It raises the possibility that cheaper tokens might mean more HBM, not less, and quotes a claim that, with enough budget, the model “will write faster kernels than humans.”

Combined views

—

1 Source, first seen 1h ago

— likes— comments— saves— reposts

Combined views

—

1 Source, first seen 1h ago

— likes— comments— saves— reposts
Image: @SemiAnalysis_ on X

Sentiment

Positive——Negative

Summary

Not enough discussion yet.

No sentiment analysis available yet.

Featured Source

Sentiment

Positive——Negative

Summary

Not enough discussion yet.

No sentiment analysis available yet.

1 Source

SemiAnalysis@SemiAnalysis_Is GLM 5.3 worth sounding the alarms? 🚨 “As long as you have the budget, it will write faster kernels than humans.” Kimbo (@kimbochen) and Wenyao (@gao_wenyao) join Jordan (@JordanNanos) this week to unpack sparse attention, the memory bottleneck nobody’s pricing in, and why cheaper tokens might mean more HBM, not less.1h
    • Home
    • Technology
    • Gaming
    • Entertainment
    • World & Business
    • Science
    • Sports
    • AI

    1 Source

    SemiAnalysis@SemiAnalysis_Is GLM 5.3 worth sounding the alarms? 🚨 “As long as you have the budget, it will write faster kernels than humans.” Kimbo (@kimbochen) and Wenyao (@gao_wenyao) join Jordan (@JordanNanos) this week to unpack sparse attention, the memory bottleneck nobody’s pricing in, and why cheaper tokens might mean more HBM, not less.1h
    Today's Rank

    #14

    Today's Rank

    #14