There’s a lot of hidden alpha in learning how decoding and samplers work in LLMs
MACHINE LEARNING
-
PixelRAG: visual retrieval system that screenshots pages instead of scraping
By
–
Web scraping will never be the same.
— Akshay 🚀 (@akshay_pachaar) 20 juin 2026
(100% open-source visual search at scale)
PixelRAG is a retrieval system that skips HTML parsing completely.
Instead of scraping a page into text and embedding chunks, it screenshots the page and retrieves the image. A vision-language model… https://t.co/tYKRgKDvSR pic.twitter.com/3dxYra0tZZWeb scraping will never be the same. (100% open-source visual search at scale) PixelRAG is a retrieval system that skips HTML parsing completely. Instead of scraping a page into text and embedding chunks, it screenshots the page and retrieves the image. A vision-language model
-
Open-weight model sits close to the frontier
By
–
An open-weight model sitting this close to the frontier is something!
-
Open weights: irrevocable access beats benchmark points
By
–
Strongest case for open weights I've seen lately, access no one can revoke beats a few benchmark points.
-
The collage theory vs the truth about AI image generators
By
–
A friend asked me last week if AI image generators "steal" pieces of existing images and glue them together. Before replying, I thought about why he believes that.
And honestly, the collage theory sounds more believable than the truth. The truth is, models learn before they -
What to expect by October after Kimi K2.7 and GLM 5.2
By
–
Imagine what we’ll have by October now that we’ve had Kimi K2.7 and GLM 5.2 in the first half of 2026
-
Chain-of-Thought Reasoning Declared Decorative in Major LLMs
By
–
Chain-Of-Thought Reasoning Proven ‘Decorative’ in Major Language Models
by Martin Anderson @UniteAi Learn more: https://
bit.ly/3QI83F4 #AI #GenerativeAI #LLM #ArtificialIntelligence #MachineLearning -
User reports positive results after switching to GLM 5.2
By
–
I swapped to GLM 5.2 last week and the decision is paying off
-
AI Agents Need to Read the Room for Mass Adoption
By
–
#AIAgents Won’t Reach Mass Adoption Until They Learn To Read The Room
by Shailesh Nalawadi @Forbes Learn more: https://
bit.ly/4uPzZ8v #AI #LLM #GenerativeAI #ArtificialIntelligence #ML -
δ-mem: Tiny memory module compresses info via delta rule for LLMs
By
–
What if your LLM could remember everything without rewriting its entire memory? Researchers from NTU, Fudan, and Mind Lab present δ-mem. It’s a tiny memory module that compresses past info into a fixed-size matrix, updated via a simple delta rule. This matrix then tweaks the