[2507.19457] GEPA: Reflective Prompt Evolution Can Outperform Reinforcement Learning

## Forget Reinforcement Learning? This New AI Trick Might Just Work Okay, so I stumbled across something pretty interesting in the world of AI research, and I wanted to share it. You know how everyone’s obsessed with reinforcement learning (think training AI to play games like Go, or robots to walk)? Well, this paper suggests…

[D] Shifting Research Directions: Which Deep Learning Domains Will Be Most Impactful in the Next 5–6 Years?

## Deep Learning’s Next Big Thing: Where Should Researchers Focus? **Hint: It might not be where you think.** So, I stumbled across a really interesting question on Reddit the other day. A PhD student, almost done with their dissertation on medical image segmentation, was asking about the *future* of deep learning research. Specifically, they wanted…

[P] Stand-alone implementation of DeepSeek’s Native Sparse Attention in PyTorch

## DeepSeek’s Native Sparse Attention: A Simpler Way to Pay Attention? **Exploring a PyTorch implementation that might just be as good (or better!) than regular attention.** Okay, so I stumbled upon something pretty cool in the world of machine learning, and I thought I’d share it with you. It’s all about “Native Sparse Attention” (NSA),…

[P] BluffMind: Pure LLM powered card game w/ TTS and live dashboard

## BluffMind: When AI Plays Poker (and Talks Trash) Okay, so I stumbled across something pretty cool today that I just had to share. It’s called BluffMind, and it’s basically a card game… but entirely powered by AI. Seriously! Think about it: a poker game where all the players (and the dealer!) are Large Language…

[R] Introducing SNAC-DB: A New Open-Source Resource for Antibody & NANOBODY® VHH–Antigen Modeling

## SNAC-DB: A New Hitchhiker’s Guide for Antibody Modeling in Drug Discovery **Or: How AI is getting a boost in understanding antibody structures.** So, I stumbled upon something pretty cool in the world of machine learning and drug discovery. It’s called SNAC-DB, and it’s basically a souped-up database designed to help AI models better predict…

[R] Are AUC/ROC curves “black box” metrics?

## Are AUC/ROC Curves Lying to You? A Deep Dive into Machine Learning Metrics **Or, how I learned to stop trusting everything I saw on a graph.** So, you’re building a machine learning model, maybe for classifying images, predicting customer churn, or something equally exciting. You’ve dealt with the joys of imbalanced datasets and finally…

[D] Best pretrained promptless semantic image (only image input) segmentation models with image mask layer labels.

## Turning Images into Layers: Finding the Right Semantic Segmentation Model Ever wanted to take a picture and instantly break it down into labeled parts, like “sky,” “tree,” or “car”? That’s the power of semantic image segmentation, and finding the right model for the job can be tricky. I recently stumbled upon a question on…