You can now run a Hermes agent team from one control room. Running multiple AI agents usually turns into chaos. Credentials scattered everywhere, no clear ownership, nobody knows what runs where. Hermes Agent Control Room is a public template that fixes this. It treats
TOOLS
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Use Codex instead of ChatGPT for better responses
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You need to ask codex, not chatgpt if you want good responses.
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Spinning up a crabbox with webvnc for a test environment
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I ask it to spin up a crabbox with webvnc for a fully prepped test env so I can click through it myself or as Mantis for videos.
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Codex review: all good until told there is a bug
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I do this with codex all the time. Ask it to review code for bugs and it will tell you all good, tell it there is a bug and it will LOOP AND LOOP and will find issues.
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Old model vs new: from syntax to plain language
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The old model was simple:
you had an idea,
then translated it into syntax,
then fought the tooling until it worked. The new model looks very different: → describe the app in plain language
→ generate the interface, logic, and structure
→ test it
→ refine it through feedback -
AI-coded ForgeTrain framework trains MiniCPM-5 1B 10% faster than NVIDIA Megatron
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And here’s the part that feels like foreshadowing: MiniCPM-5 1B was pre-trained with ForgeTrain, an AI-coded training framework claimed to be 10% faster than NVIDIA Megatron. AI isn’t just running apps now. It’s starting to build the factory. Try it. Break it. Contribute:
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Low VRAM AI deployment numbers enable real workflows everywhere
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The deployment numbers are the real flex: FP16: ~2GB VRAM
INT8: ~1GB
INT4/Q4: ~0.5GB That puts real AI workflows on normal machines, edge boxes, tablets, browsers, and local dev stacks. Less “enterprise AI theater.” More shipping. -
MiniCPM-5 1B: Tiny Open-Source Model Runs Locally, No GPU Needed
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The AI crowd keeps worshipping giant models.
— God of Prompt (@godofprompt) 30 mai 2026
Meanwhile, MiniCPM-5 1B is trying to make them look bloated.
A 1B open-source model that runs locally, on CPUs, edge devices, and even browsers.
Tiny model. Real deployment. No GPU cult required. pic.twitter.com/XWH8uso0SEThe AI crowd keeps worshipping giant models. Meanwhile, MiniCPM-5 1B is trying to make them look bloated. A 1B open-source model that runs locally, on CPUs, edge devices, and even browsers. Tiny model. Real deployment. No GPU cult required.
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Build Complex SaaS Apps End-to-End with AI, No Coding Required
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🚨 Build Complex SaaS Apps End To End – No Coding Experience Needed
— Abacus.AI (@abacusai) 30 mai 2026
Use Opus 4.8, GPT 5.5 xHigh and Gemini 3.5 Pro to make magic
No need to set up databases, user auth or backend
Do it all in one prompt pic.twitter.com/wmbWmF7MzCBuild Complex SaaS Apps End To End – No Coding Experience Needed Use Opus 4.8, GPT 5.5 xHigh and Gemini 3.5 Pro to make magic No need to set up databases, user auth or backend Do it all in one prompt
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GeoAI and Machine Learning Help Predict Traffic Carmageddon
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GeoAI! #MachineLearning Help Predict Traffic Carmageddon! by @rachelevagordon. #BigData #Analytics #DataScience #AI #MachineLearning #IoT #IIoT #PyTorch #Python #RStats #TensorFlow #Java #JavaScript #ReactJS #GoLang #CloudComputing #Serverless #DataScientist #GeoSpatial #Linux