I have heard from quite a few large organizations that blew through their entire token budget in the first couple months of the year. There aren't even good processes for thinking through how token costs will change over time.
LLMS
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MiniMax M2 Technical Report: Attention Mechanism Analysis
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The MiniMax M2 series was one of the most widely used open-weight LLM series earlier this year. Now, we got a technical report with some interesting tidbits. I summarized some of them below: 1. Full attention as an anti-trend?: They tried hybrid sliding-window attention
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Highly rated new book on generative AI applications with LLMOps
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Highly rated new book from @PacktPublishing @PacktDataML … "Architecting Generative AI Applications: Build, deploy, and scale production-ready GenAI systems with LLMOps best practices" See it at https://
amzn.to/3Pv4dyF -
Huawei’s Tau Scaling Law changes AI optimization layer focus
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Most enterprises are optimizing the wrong layer of AI.
— Ronald van Loon (@Ronald_vanLoon) 27 mai 2026
Cost per token doesn't start with the model.
It starts underneath it.
Huawei's Tau Scaling Law (Her's Law) changes the conversation entirely.
Here's the breakdown…#HuaweiPartner @huawei pic.twitter.com/P5fnE5CtGuMost enterprises are optimizing the wrong layer of AI. Cost per token doesn't start with the model. It starts underneath it. Huawei's Tau Scaling Law (Her's Law) changes the conversation entirely. Here's the breakdown… #HuaweiPartner @huawei
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Agentic AI and Premium Inference Speed Explained
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Agentic AI changes what speed actually means.
— SambaNova (@SambaNovaAI) 27 mai 2026
Behind every response, multiple agents are reasoning and exchanging tokens in real time. Faster inference means faster outcomes.
🎧 @SumtiJairath explains why premium inference matters @dcdnews: https://t.co/9Wwc0vkssJ pic.twitter.com/4eKEfKJjyRAgentic AI changes what speed actually means. Behind every response, multiple agents are reasoning and exchanging tokens in real time. Faster inference means faster outcomes. @SumtiJairath explains why premium inference matters @dcdnews
: https://
podcasts.apple.com/us/podcast/epi
sode-102-the-training-to-inference-passageway/id1607349232?i=1000764784324
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Krea 2 API release with platform and agent support
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today, we're releasing the API for Krea 2.
— Krea (@krea_ai) 27 mai 2026
now available in platforms like @fal or @ComfyUI, through agents like Hermes from @NousResearch, and with full support for Claude, Codex, or OpenClaw.
learn how you can set it up 👇 pic.twitter.com/R4jdyyTxQktoday, we're releasing the API for Krea 2. now available in platforms like @fal or @ComfyUI
, through agents like Hermes from @NousResearch
, and with full support for Claude, Codex, or OpenClaw. learn how you can set it up -
Companies wrestling with token usage and model choices
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Most companies only have very crude understanding of token usage right now, so they veer from focusing on adoption (“everyone should use as many tokens as possible”) to cost control (“can we just use local models?”) depending on the moment and manager. This is all very new.
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Introduction to Runway MCP: Connect to Claude, ChatGPT, and More
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Introducing Runway MCP. Now you can connect Runway directly into Claude, ChatGPT, Cursor, Replit and more.
— Runway (@runwayml) 27 mai 2026
Generate polished images and videos with state-of-the-art models, like Gen-4.5, Seedance 2.0, GPT Images 2.0, Kling and more. Right from where you're already working.… pic.twitter.com/J3wBb4kZDyIntroducing Runway MCP. Now you can connect Runway directly into Claude, ChatGPT, Cursor, Replit and more. Generate polished images and videos with state-of-the-art models, like Gen-4.5, Seedance 2.0, GPT Images 2.0, Kling and more. Right from where you're already working.
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Deep Agents v0.6 Introduces Delta Channels for 100x Checkpoint Storage Reduction
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Deep Agents v0.6 brings Delta channels, reducing checkpoint storage by up to 100x for long-running agents, without sacrificing observability or resilience. Here’s a 200-turn coding agent session.
Without Delta Channels: 5.3GB of checkpoint storage
With Delta Channels: 129mb -
Open-Source Avatars Level Up with AVTR-1 Locally
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OPEN-SOURCE AVATARS JUST LEVELED UP@avaturn_me just open-sourced AVTR-1, and the tech is pretty wild.
— Charly Wargnier (@DataChaz) 27 mai 2026
> clone the repo
> download the weights
> then run a conversational avatar locally on your machine at almost zero cost 🔥
repo + weights + demo links below 🧵↓ https://t.co/IbrBKsDFylOPEN-SOURCE AVATARS JUST LEVELED UP @avaturn_me just open-sourced AVTR-1, and the tech is pretty wild. > clone the repo
> download the weights
> then run a conversational avatar locally on your machine at almost zero cost repo + weights + demo links below ↓