LLMS - AI Dynamics

Standard Configuration Files Improve LLM Efficiency and Token Usage

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14 March 2026 4h04

Having a known place you can get that information for a given URL, rather than having to create it from scratch yourself, is rather convenient. E.g if you tell Claude Code about the claude llms.txt, it's way faster and more token efficient at getting info about how it works.

→ View original post on X — @jeremyphoward

14 March 2026

llms.txt pioneered markdown foundation for modern AI agents

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@jeremyphoward

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14 March 2026 4h02

Exactly. llms.txt literally pioneered the idea that we should simply give our agents a markdown list of links with descriptions of what they can find in each, and let them decide what to read. That's basically the foundation of how agents work today.

→ View original post on X — @jeremyphoward

14 March 2026

Critique of token-based pricing models in AI

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@pmddomingos

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14 March 2026 3h00

Paying AI per token is like paying software engineers per line of code.

→ View original post on X — @pmddomingos

14 March 2026

IndexCache Accelerates Sparse Attention via Cross-Layer Index Reuse

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@askalphaxiv

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14 March 2026 1h50

A really cool paper from @Zai_org "IndexCache: Accelerating Sparse Attention via Cross-Layer Index Reuse" This paper shows that in sparse-attention LLMs, nearby layers usually pick almost the same important tokens. So you can cache and reuse those token indices instead of

→ View original post on X — @askalphaxiv

14 March 2026

Impressions initiales positives, mais performance ralentie avec llama.cpp

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@rasbt

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14 March 2026 1h17

I have a good first impression, but it's still a tad slow for me (using llama.cpp). About 2x slower than gpt-oss 120B on the same hardware. I think I need to look for the NVIDIA-optimized stack.

→ View original post on X — @rasbt

14 March 2026

Cursor AI Now Available in JetBrains IDEs

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@miketamir

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14 March 2026 1h06

Cursor is now available in JetBrains IDEs · Cursor https://
buff.ly/y2PGX29
#AI #MachineLearning #DeepLearning #LLMs #DataScience

→ View original post on X — @miketamir

14 March 2026

Claude Sonnet 4.6 Outperforms Supabase MCP in MCPMark Benchmarks

By

@datachaz

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14 March 2026 0h42

2/ They ran MCPMark v2 benchmarks with Claude Sonnet 4.6 Vs. Supabase MCP. → Pass@4: 76% (vs 66%)
→ Tokens/run: 7.3M vs 17.9M
→ Speed: 156s vs 198s Agents complete tasks faster and use way fewer tokens. That gap only grows with smarter models. → https://
insforge.dev/blog/mcpmark-b
enchmark-results-v2
…

→ View original post on X — @datachaz

14 March 2026

Generate Videos in Seconds with ChatLLM by Abacus AI

By

@abacusai

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14 March 2026 0h02

Generate videos in seconds with ChatLLM by Abacus AI.

Access top AI video models like Kling AI v3, Sora 2, Wan 2.5, and Seedance 1.5 pro all in one place.

Type a prompt. Get a video. pic.twitter.com/RGlbgY1DDA
— Abacus.AI (@abacusai) 13 mars 2026

Generate videos in seconds with ChatLLM by Abacus AI. Access top AI video models like Kling AI v3, Sora 2, Wan 2.5, and Seedance 1.5 pro all in one place. Type a prompt. Get a video.

→ View original post on X — @abacusai

14 March 2026