arXiv:2602.04077v1 Announce Type: new Abstract: Identifying and making statistical inferences on differential treatment effects (commonly known as subgroup analysis in clinical research) is central to precision health. Subgroup analysis allows practitioners to pinpoint populations for whom a treatment is especially beneficial or protective, thereby advancing targeted interventions. Tree based recursive partitioning methods are widely used for subgroup analysis due to their interpretability. Nevertheless, these approaches encounter significant limitations, including suboptimal partitions induced by greedy heuristics and overfitting from […]

Ver mais

When I started learning AI and diving into frameworks like LangGraph, n8n, and the OpenAI APIs, I found plenty of great tutorials. They taught me how to build a simple chatbot, how to make my first LLM call, how to chain a few prompts together. Useful stuff for getting started. Great for for learning. Less great for shipping. After the first couple of weeks, I wanted to build an actual production-ready application which goes beyond standard POCs. Something […]

Ver mais

When a Japan-built blockchain company chooses Abu Dhabi as its next base, is it chasing a license, or following where the institutional money is already sitting? That is the question raised by Startale Group’s selection into Hub71’s Cohort 18 under the Abu Dhabi Digital Assets program, backed by Mubadala and the Abu Dhabi Department of Economic Development. Startale was picked from over 2,400 global applicants, and will set up inside the Abu Dhabi Global Market (ADGM), the financial […]

Ver mais

arXiv:2602.13266v1 Announce Type: new Abstract: Large Language Models (LLMs) have changed the way natural language processing works, but it is still hard to store and manage prompts efficiently in production environments. This paper presents LoPace (Lossless Optimized Prompt Accurate Compression Engine), a novel compression framework designed specifically for prompt storage in LLM applications. LoPace uses three different ways to compress data: Zstandard-based compression, Byte-Pair Encoding (BPE) tokenization with binary packing, and a hybrid method that combines the two. […]

Ver mais

arXiv:2602.20363v1 Announce Type: new Abstract: The aesthetic quality of a scene depends strongly on camera viewpoint. Existing approaches for aesthetic viewpoint suggestion are either single-view adjustments, predicting limited camera adjustments from a single image without understanding scene geometry, or 3D exploration approaches, which rely on dense captures or prebuilt 3D environments coupled with costly reinforcement learning (RL) searches. In this work, we introduce the notion of 3D aesthetic field that enables geometry-grounded aesthetic reasoning in 3D with sparse […]

Ver mais

Deep learning systems achieve remarkable empirical performance, yet the stability of the training process itself remains poorly understood. Training unfolds as a high-dimensional dynamical system in which small perturbations to optimization, data, parameters, or learning signals can induce abrupt and irreversible collapse, undermining reproducibility and scalability. We propose a unified dynamical perspective that characterizes training stability as an intrinsic property of learning systems, organized along four interacting dimensions: optimization, environmental/data, parametric, and learning-signal stability. We operationalize this perspective […]

Ver mais

Activation steering methods enable inference-time control of large language model (LLM) behavior without retraining, but current approaches face a fundamental trade-off: sample-efficient methods suboptimally capture steering signals from labeled examples, while methods that better extract these signals require hundreds to thousands of examples. We introduce COLD-Steer, a training-free framework that steers LLM activations by approximating the representational changes that would result from gradient descent on in-context examples. Our key insight is that the effect of fine-tuning on a […]

Ver mais

I sent the December edition of my sponsors-only monthly newsletter. If you are a sponsor (or if you start a sponsorship now) you can access a copy here. In the newsletter this month: An in-depth review of LLMs in 2025 My coding agent projects in December New models for December 2025 Skills are an open standard now Claude’s “Soul Document” Tools I’m using at the moment Here’s a copy of the November newsletter as a preview of what […]

Ver mais