The complexity story is WILD: Standard attention: O(L²d) – quadratic scaling with sequence length
Grassmann mixing: O(Ld²) – LINEAR scaling (for fixed rank r) This isn't just theoretical. As sequences get longer, the gap becomes exponential.
LLMS
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Attention quadratic vs Grassmann linear scaling complexity gap
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Massive attention matrices cause Transformer interpretability crisis
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Here's the interpretability crisis no one talks about: Every Transformer layer creates an L×L attention matrix. Across 96 layers and 96 heads in GPT-4, that's a MASSIVE evolving tensor cloud. The paper proves this is why we can't interpret these models not their size, but their
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Transformer performance matched without computing attention weights
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This paper just murdered the foundation of every AI model you've ever used. A researcher proved you can match Transformer performance WITHOUT computing a single attention weight. Here's what changed (and why this matters now):
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Derf: Replacing Transformer Normalization with Simpler Function
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What if you could replace a core part of a Transformer with something simpler and stronger? Researchers from Princeton, NYU, and CMU present Derf. They swapped the standard "normalization" layer with a simple, element-by-element function called Derf (based on a Gaussian error
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MCP servers deliver interactive interfaces for seamless AI workflows
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This means:
— God of Prompt (@godofprompt) 27 janvier 2026
Any MCP server can now deliver interactive interfaces wherever users work.
Developers get a universal way to bring their tools into AI conversations.
And users get seamless workflows without tab-switching. pic.twitter.com/DJiy4dH8cDThis means: Any MCP server can now deliver interactive interfaces wherever users work. Developers get a universal way to bring their tools into AI conversations. And users get seamless workflows without tab-switching.
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MCP Apps extends Model Context Protocol for interactive UI in AI products
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The tech behind this is MCP Apps. Built on the Model Context Protocol (MCP), the open standard for connecting AI to tools. MCP Apps extends this further so developers can build interactive UI that works in any supporting AI product not just Claude.
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Claude enables Asana timelines, Slack messages, Figma diagrams from text
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Build project timelines in Asana. Draft and send Slack messages with formatting preview. Create Figma diagrams from text.
— God of Prompt (@godofprompt) 27 janvier 2026
All of this happens inside your conversation with Claude.
This isn't just integration. It's transformation. pic.twitter.com/WWm215YEqTBuild project timelines in Asana. Draft and send Slack messages with formatting preview. Create Figma diagrams from text. All of this happens inside your conversation with Claude. This isn't just integration. It's transformation.
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Claude integrates with Asana, Slack, Figma, and 10+ tools
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BREAKING: Anthropic just changed how you work with AI. You can now interact with Asana, Slack, Figma, and 10+ tools directly inside Claude without switching tabs. Here's everything that just became possible:
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New Edition of Transformers and Generative AI Technical Guide
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Very impressive! >> "Transformers for #NLProc and #ComputerVision: Explore #GenerativeAI and Large Language Models #LLMs with Hugging Face, GPT-4V, DALL-E 3,…" [3rd Edition] http://
amzn.to/3TkBknI
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Huge, 728 pages of #AI #DeepLearning #MachineLearning #DataScience joy! -
Enterprise AI used for automated text analysis and reporting
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I have an AI that only big enterprises have. It looks at text and understands it better than, say, Grok does. It looked through thousands of posts and wrote this report. I didn't.