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Introducing SubQ - a major breakthrough in LLM intelligence. It is the first model built on a fully sub-quadratic sparse-attention architecture (SSA), And the first frontier model with a 12 million token context window which is: - 52x faster than FlashAttention at 1MM tokens - Less than 5% the cost of Opus Transformer-based LLMs waste compute by processing every possible relationship between words (standard attention). Only a small fraction actually matter. @subquadratic finds and focuses only on the ones that do. That's nearly 1,000x less compute and a new way for LLMs to scale.

Introducing SubQ - a major breakthrough in LLM intelligence.
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Introducing SubQ - a major breakthrough in LLM intelligence.

SubQ’s co-founder announces an LLM built on fully sub-quadratic sparse attention, claiming a 12-million-token context window, faster processing, and much lower costs than competing models. The video also introduces SubQ Code, an AI coding agent for working across large codebases and document sets.

Views
13.5M
Likes
22.5K
Replies
1.5K
Reposts
2.7K
Quotes
2K
Bookmarks
19.1K
Topics
Sparse Attention ArchitectureLong Context LLMsAI Coding AgentsInference Cost ReductionAI

Analysis

SubQ’s co-founder announces an LLM built on fully sub-quadratic sparse attention, claiming a 12-million-token context window, faster processing, and much lower costs than competing models. The video also introduces SubQ Code, an AI coding agent for working across large codebases and document sets.

Formats
Product announcementFounder interviewExplainer
Topics
Sparse Attention ArchitectureLong Context LLMsAI Coding AgentsInference Cost Reduction
Categories
Artificial IntelligenceTechnology AnnouncementsSoftware Development

Visual hook

How the visuals workThe visuals directly support the announcement: a talking-head shot identifies Alex Whedon as co-founder and CTO, while animated text emphasizes claims such as “world’s first fully subquadratic” and performance comparisons. Colorful geometric graphics add branded visual energy without carrying a separate message.
As written
Introducing SubQ - a major breakthrough in LLM intelligence.
From the post
  1. 01
    The Announcement

    Introduce the subject and frame it as a major breakthrough.

  2. 02
    The Proof Points

    Position the subject as a first-of-its-kind solution, then give clear performance comparisons.

  3. 03
    The Simple Explanation

    Explain the old problem, show that only part of it matters, and reveal the new approach and its payoff.