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Everything AION read, in seven sections. Pick one, a topic or a time window.

Video
AI Engineer (YouTube)10h ago

Agent Speedrun — Elizabeth Fuentes Leone & Sandhya Subramani, AWS

A customer service agent looks up an account, checks an order, and handles a refund.

r/LocalLLaMA (top, daily)6h ago

"Strata" for GLM5.3 Flash is here for some! Project Maya

I stumbled across this as I was currently having glm5.3 flash run only around 10tok/s basically unusable.

r/MachineLearning (top, daily)10h ago

I trained a 414k-parameter transformer to fly a boids flock, then tested whether the rules a probe can read are the ones it uses [P]

I wrote a small boid simulator (12 birds), recorded it flying, and trained a transformer to predict each bird's next move without it knowing about any boid rules.

r/StableDiffusion (top, day)4h ago

qwen 2.1 turbo or normal - fixed the artifacts

hi guys, i fixed the confyui workflow with sigmas recommended by qwen 2.1 so artifacts are very reduced or no more...

GitHub: BerriAI/litellm15h ago

BerriAI/litellm v1.105.0

Verify using the pinned commit hash (recommended):

Code
Video
AI Engineer (YouTube)4h ago

Taming the AI Hardware Cambrian Explosion — Abdul Dakkak, Modular

Abdul Dakkak, chief scientist at Modular, explains why today's AI software stack is a mess, with vLLM, SGLang, TensorRT-LLM and llama.cpp each patching around different hardware, and how Modular rebuilt the stack from the ground up.

Video
AI Engineer (YouTube)7h ago

AI Apps in a Flash: Ship to GPUs Without Docker — Dean Quiñanola, Runpod

Dean Quiñanola, staff engineer at Runpod, introduces Runpod Flash, which lets you run Python on cloud GPUs as if the GPU were local, with no Dockerfiles, image builds or registry pushes.

Video
AI Engineer (YouTube)7h ago

Build a Platform and Watch It Burn — Michael Forrester, Accenture & Whitney Lee, Datadog

A burrito ordering assistant deploys an external container image and exposes a secret recipe from its Kubernetes environment.

r/LocalLLaMA (top, daily)12h ago

OpenMed 3.0 is out: Apache-2.0 clinical AI that runs fully local and never falls back to the cloud. 422 open issues if you want in on 3.1

Quick recap: it's an open-source (Apache-2.0) medical AI toolkit with one rule we never break: patient data stays on your machine.