August through October will be for the history books when it comes to Opensource AI The past couple of months might feel huge but I believe we haven’t seen the good stuff of 2026 yet
@theahmadosman
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GPUs anciens pourraient faire tourner l’AGI
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Could you imagine that AGI might run on GPUs from 10+ years ago? Because it just might There’s a reason I haven’t sold a single one of my GPUs despite the massive jump in price Compute is the MOAT + you don’t know what the next paradigm might allow you to do with thet hardware
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Start and learn local AI as you go
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Yup, just start and you’ll learn everything you need about local AI as you go It’s fun, addicting, and bad for your wallet so be warned
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Training models, the new ‘learn to code’
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Training models is gonna become the new learn to code and will be automated to a high degree Novel research is another thing and has already been automated to some extent Synthetic data might be the only thing yet to crack, matter of time Compute is the ONLY TRUE moat
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Current SoTA LLM Ranking as of May 2026
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Current SoTA LLMs Ranking GPT 5.5 > Kimi K2.6 > GLM 5.1 > Qwen 3.6 397B > MiniMax M2.7 And yes, Opus 4.7 is slop, I left Claude models out intentionally
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Cloning Sglang Mini and using Codex with GPT-5.5 to learn inference engines
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There’s too much alpha in cloning Sglang Mini and asking Codex Cli w/ GPT 5.5 to teach you how Inference Engines work through that cloned repo
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LLM pricing per token mirrors SaaS era, buy a GPU
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Charging $ per 1M tokens
Is basically the SaaS era of LLMs That’s why I keep saying Buy a GPU -
Choose Hardware First, Then the Inference Engine Follows
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You don’t pick an Inference Engine You pick a Hardware Strategy Then the Engine follows Inference Engines Breakdown (Cheat Sheet at the bottom) > llama.cpp
runs anywhere
CPU, GPU, Mac, weird edge boxes
best when VRAM is tight and RAM is plenty
hybrid offload, GGUF, -
Free Hugging Face Mirror Offered If Platform Goes Down
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If @huggingface gets taken down I got your back for free
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Local LLMs Web Stack Setup With SearXNG Firecrawl and Camofox
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PRO TIP Using local LLMs? Give them a web stack My setup: – SearXNG: candidate source discovery – Firecrawl: known-URL scraping and crawling – Camofox: browser fallback when JS/interaction gets annoying Search → Extract → Interact Tell your favorite agent to set this up,