ChatLLM smartly routes to the best model based on your prompt Opus 4.8 – front-end
GPT 5.5 – back-end coding
Grok 4.5 – real-time
Flash 3.5 – chat Nano Banana Pro – image
Seedance 2.0 – video
ElevenLabs – voice
Gemini Pro 3.1 – research
DeepSeek Flash – simple We smartly
TOOLS
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ChatLLM Smart Model Router for Task-Specific AI Selection
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Visualization of all humans generated by Opus 4.8 in Claude Code
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How lucky are you to have been born when and where you are? Had Opus 4.8 in Claude Code whip up a new visualization of all humans who ever lived. In addition to being neat, it is an interesting test of combining research, code, design and stats for an AI. https://
veil-of-history.netlify.app -
Step 3.7 Flash MoE Model with 256K Context Released
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Step 3.7 Flash is here ICYMI: 198B MoE with 11B active params, 256K context, native image + video support. Day 0 support is live on http://
build.nvidia.com with GPU-accelerated endpoints, deploy with NVIDIA NIM inference microservices, and fine-tune with the NVIDIA NeMo -
How to install AI agent skills or plugins in Codex
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Yes! You can install it as a skill or as a plugin in codex, to install it as a plugin after you click on “Add more”, in the source in the next modal just add this: “MagicPathAI/agent-skills".
If you prefer the terminal:
codex plugin marketplace add MagicPathAI/agent-skills Then -
ElevenLabs Dubbing v2 Alpha: Multilingual Speech Translation
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ElevenLabs introduced a new Dubbing v2 Alpha model that can translate speech across all languages while preserving the emotional tone of the original content.
— 🚨 AI News | TestingCatalog (@testingcatalog) 28 mai 2026
Big for creators 👀 https://t.co/W7dTh3IxAT pic.twitter.com/gnC1FLeG4kElevenLabs introduced a new Dubbing v2 Alpha model that can translate speech across all languages while preserving the emotional tone of the original content. Big for creators
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Shader test as a measure of AI coding capability
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Except a shader like this is a very good measure of model capability because of the technical difficulty of building this sort of code. It translates to other coding as well. Feel free to see my many other tweets and substack posts (& book) about AI applications in businesses.
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Client Spent $500M in a Month After Missing Claude Usage Limits
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NEW: AI consultant reveals a client accidentally spent $500,000,000.00 in a single month after failing to set employee limits on Claude usage.
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Aleph 2.0 Targeted Video Editing: Selective Color Change
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took a clip from a kids’ ball pit fight and used Aleph 2.0 to change the wall colors from yellow and blue to white and red
— SONIA (@S0N_IA_) 28 mai 2026
what stood out is how targeted the edit was
the wall changes
but the movement, lighting and chaos of the scene stay intact
same clip
different visual… pic.twitter.com/ZRM9AdIaSntook a clip from a kids’ ball pit fight and used Aleph 2.0 to change the wall colors from yellow and blue to white and red what stood out is how targeted the edit was the wall changes
but the movement, lighting and chaos of the scene stay intact same clip
different visual -
Agentic RAG Pipeline for Enterprise Question Answering
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Standard RAG fails complex enterprise questions. Domino's new blueprint shows how to build an agentic pipeline that classifies intent, routes queries across multiple sources, and returns structured answers with citations, not just fluent text: https://
hubs.ly/Q04hR73m0