wanna get good with software? Use Linux wanna get good with llms? Buy a GPU
OPEN SOURCE
-

OpenAI Pulse Data Mining: Run LLMs Locally Instead
By
–
heads up OpenAI feature Pulse is simply DATA MINING for future TARGETED ADS Buy a GPU & run your LLMs locally
-
LFM2-Extract Model Recommended for Extraction Tasks
By
–
They haven't been fine-tuned for this precise purpose, but I'd recommend checking LFM2-Extract (1.2B or 350M).
-
NVIDIA emerges as American open-source AI leader
By
–
As Jensen mentioned with @altcap @BG2Pod @bgurley, something that few people know is that @nvidia is becoming the American open-source leader in AI, with over 300 contributions of models, datasets and apps on @huggingface in the past year.
— clem 🤗 (@ClementDelangue) 26 septembre 2025
And I have a feeling they're just… pic.twitter.com/ko9oTeGiZ8As Jensen mentioned with @altcap @BG2Pod @bgurley
, something that few people know is that @nvidia is becoming the American open-source leader in AI, with over 300 contributions of models, datasets and apps on @huggingface in the past year. And I have a feeling they're just -
Perplexity Tests New ‘Sonar Testing’ Reasoning Model
By
–
BREAKING 🚨: Perplexity is testing a new "Sonar Testing" reasoning model internally. Potentially, it will arrive as a reasoning upgrade to the existing Sonar model.
— 🚨 AI News | TestingCatalog (@testingcatalog) 26 septembre 2025
Imo, "Sonar Testing" is the best name ever 👀 pic.twitter.com/a1ChGPDGLhBREAKING : Perplexity is testing a new "Sonar Testing" reasoning model internally. Potentially, it will arrive as a reasoning upgrade to the existing Sonar model. Imo, "Sonar Testing" is the best name ever
-
Developer praised for creating excellent library
By
–
Huge props to @DavidePacilio for creating such great library!
-
Black Forest Labs FLUX model licensing uncertainty clarified
By
–
Black forest labs engineer says its their FLUX model. Maybe they licensed different ones. Not sure.
-

MLX Addresses Single Prompt Execution Limitation
By
–
"You can usually run only one prompt at a time" There's been some very recent work on MLX that addresses that limitation
-

ULMFiT Discriminative Fine Tuning in fastai v1
By
–
In ULMFiT we called this discriminative fine tuning. It's been the default fine tuning method in fastai since v1. 😀
-

Open Science and Collaborative Research in Neural Network Optimization
By
–
Looking through those little hidden gem stories in the footnote, you will find it so inspiring that researchers with interests on the same topic are able to work together to advance a field despite their roles and locations. This is the power of open science and community. Thinking Machines (@thinkymachines) Efficient training of neural networks is difficult. Our second Connectionism post introduces Modular Manifolds, a theoretical step toward more stable and performant training by co-designing neural net optimizers with manifold constraints on weight matrices. thinkingmachines.ai/blog/mod… We explore a fundamental understanding of the geometry of neural network optimization. — https://nitter.net/thinkymachines/status/1971623409873244462#m
→ View original post on X — @lilianweng, 2025-09-26 19:03 UTC