I talked about a similar setup for coding Agents. Hermes Agent can split the task between local agents and codex/claude code. Step-by-step guide:
LLMS
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Abacus AI: Build, Host, Run Cloud Services with LLMs & AI Models
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🚨 Abacus AI SuperComputer – Build, Host and Run Any Cloud Service!
— Abacus.AI (@abacusai) 4 juin 2026
– 24/7 cloud computer
– spin up local LLMs, agents and databases
– access 100+ AI models
– use Claude, Codex or AntiGravity
– run OpenClaw or Hermes
– host servers, APIs or run scheduled tasks
– prompt ->… pic.twitter.com/VLxLCtwH9kAbacus AI SuperComputer – Build, Host and Run Any Cloud Service! – 24/7 cloud computer
– spin up local LLMs, agents and databases
– access 100+ AI models
– use Claude, Codex or AntiGravity
– run OpenClaw or Hermes
– host servers, APIs or run scheduled tasks
– prompt -> -
Gemma 4 12B open weights model runs on laptop
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Check out our Gemma 4 12B model: it's a super capable open weights model that can run directly on your laptop.
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Step-by-step LLM engineering projects roadmap
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Step-By-Step LLM Engineering Projects Roadmap – Build a tokenizer
– Learn embeddings
– Implement RoPE / ALiBi
– Hand-wire attention
– Build MHA
– Build a Transformer block
– Train a mini-former
– Compare objectives
– Build sampling
– Speculative decoding
– KV cache
– MQA / GQA / -
Gary Marcus quotes Sam Altman on AI spending pullback, claims he’s blocked
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what part of what i quoted did you not understand? “ Sam Altman warns OpenAi and Anthropic are experiencing severe pullback on Ai spending as companies put significant restraints on spending to restrict costs.” blocked for doing what you accused me of
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Grok Imagine 1.5 releases Iliad (Troy) trailer
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Iliad (Troy) trailer made by Grok Imagine 1.5, which was just released pic.twitter.com/o0zITVlvpn
— Elon Musk (@elonmusk) 4 juin 2026Iliad (Troy) trailer made by Grok Imagine 1.5, which was just released
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User keeps 8GB RTX 3060 for RAG instead of streaming
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heck, I am keeping my 8gb 3060 that I used to stream on for RAG purposes
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Compute usage: 1B ChatGPT vs 5M Codex users
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Who is using more compute – 1b of ChatGPT users or 5m of Codex users?
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Codex tip: use plugins to boost power, just ask Codex
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Codex tip: one of the easiest ways to make Codex much more powerful is openai/plugins
there are now 100+ plugins for everything from building apps to working with Figma, Notion, Vercel, and more the best part: you do not even need to know which ones exist
open Codex and ask: -
Try Grok models on Cloudflare’s AI Gateway
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Try Grok models on @Cloudflare's AI Gateway! https://t.co/YY511gTthP
— xAI (@xai) 3 juin 2026Try Grok models on @Cloudflare
's AI Gateway!