Our 8 Favorite Pizza Ovens: Wood, Gas, Electric, and Grill (2025)
Craving carb-y comfort? We picked our favorite outdoor ovens for backyards, countertops, or camping.
Qwen Edit Upscale LoRA
https://huggingface.co/vafipas663/Qwen-Edit-2509-Upscale-LoRA Long story short, I was waiting for someone to make a proper upscaler, because Magnific sucks in 2025; SUPIR was the worst invention ever; Flux is wonky, and Wan takes too much effort for me. I was looking for something that would give me crisp results, while preserving the image structure. Since nobody’s done …
What could possibly go wrong if an enterprise replaces all its engineers with AI?
AI coding, vibe coding and agentic swarm have made a dramatic and astonishing recent market entrance, with the AI Code Tools market valued at $4.8 billion and expected to grow at a 23% annual rate. Enterprises are grappling with AI coding agents and what do about expensive human coders. They don’t lack for advice. OpenAI’s …
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A Gene Editing Therapy Cut Cholesterol Levels by Half
An experimental gene-editing therapy developed by Crispr Therapeutics is showing promise for treating heart disease.
The average ComfyUI experience when downloading a new workflow
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The 7 Statistical Concepts You Need to Succeed as a Machine Learning Engineer
When we ask ourselves the question, ” what is inside machine learning systems? “, many of us picture frameworks and models that make predictions or perform tasks.
RL without TD learning
In this post, I’ll introduce a reinforcement learning (RL) algorithm based on an “alternative” paradigm: divide and conquer. Unlike traditional methods, this algorithm is not based on temporal difference (TD) learning (which has scalability challenges), and scales well to long-horizon tasks. We can do Reinforcement Learning (RL) based on divide and conquer, instead of temporal …
What exactly does word2vec learn?
What exactly does word2vec learn, and how? Answering this question amounts to understanding representation learning in a minimal yet interesting language modeling task. Despite the fact that word2vec is a well-known precursor to modern language models, for many years, researchers lacked a quantitative and predictive theory describing its learning process. In our new paper, we …
Whole-Body Conditioned Egocentric Video Prediction
× Predicting Ego-centric Video from human Actions (PEVA). Given past video frames and an action specifying a desired change in 3D pose, PEVA predicts the next video frame. Our results show that, given the first frame and a sequence of actions, our model can generate videos of atomic actions (a), simulate counterfactuals (b), and support …
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ExpertLens: Activation Steering Features Are Highly Interpretable
This paper was accepted at the Workshop on Unifying Representations in Neural Models (UniReps) at NeurIPS 2025. Activation steering methods in large language models (LLMs) have emerged as an effective way to perform targeted updates to enhance generated language without requiring large amounts of adaptation data. We ask whether the features discovered by activation steering …
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