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Today in AI

A focused feed of models, agents, research and open-source releases for people building with AI.

Updated
02
Open-Source LearnHarness Turns AI Agent Loops Into a Smart Tutor
repoAgentsOpen SourceAlphaSignal ·

Open-Source LearnHarness Turns AI Agent Loops Into a Smart Tutor

LearnHarness is an open-source desktop agent that plans lessons from your current understanding to your goal: GitHub repo Four-stage loop: measure prerequisites, plan a dependency map, teach step by step, then practice Persistent knowledge graph stores propositions and reasoning chains, reused

05
Pruna AI Squeezes a 143 GB Video Model Into 21 GB
modelImageOpen SourceAlphaSignal ·

Pruna AI Squeezes a 143 GB Video Model Into 21 GB

Pruna AI open-sourced P-H3-Image , converting MiniMax-H3 video model into an image generator. Generates 8-megapixel images in 8 steps, roughly 5x faster than the base model. Smallest w4a8 variant is a 20 GB download peaking at 21 GB VRAM, versus 143 GB for MiniMax-H3.

13
Google Releases MedGemma to Let Hospitals Run Medical AI Locally
paperLlmsImageAlphaSignal ·

Google Releases MedGemma to Let Hospitals Run Medical AI Locally

Google released MedGemma , open medical vision-language models built on Gemma 3 4B and 27B. Includes MedSigLIP , a 400M medical vision encoder usable standalone for classification and retrieval. Scores 86.2% on MedQA, best open model at release aside from DeepSeek-R1.

19
Swift 1.5 Heretic Build Cuts Refusals but Slows Decoding Speed by 28%
modelLlmsGpusAlphaSignal ·

Swift 1.5 Heretic Build Cuts Refusals but Slows Decoding Speed by 28%

Partially decensored GGUF of Swift 1.5 Qwen3.8-27B built with Heretic , with vision and MTP intact. Scores 97.6% GSM8K, 86.67% MMLU-Pro, 92.98% IFEval prompt-strict on the quantized file. Follows through on roughly 1 in 5 prompts the original Swift 1.5 refused; not fully uncensored.

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Topaz Labs' Wonder 4 Fixes and Enlarges Photos in One Smart Pass
newsImageGpusTopaz Labs ·

Topaz Labs' Wonder 4 Fixes and Enlarges Photos in One Smart Pass

Topaz Labs released Wonder 4 , a one-click upscale, denoise, and sharpen model. First Topaz model built on a mixture-of-experts architecture that routes enhancements per image region. Combines upscaling, denoising, deblurring, compression artifact removal, and face recovery in a single pass.