Rick
Rick — researcher or builder tracked in the Angestrom contributor network.
Repositories · 4
ultralytics/ultralytics
Ultralytics YOLO26, YOLO11, YOLOv8 — object detection, instance segmentation, semantic segmentation, image classification, pose estimation, object tracking
gregorydickson/pickle-rick-claude
🥒 Pickle Rick for Claude Code — autonomous PRD-driven coding loops + relentless code review. Ralph Loop toolkit.
PatrickWiloak/cloud-data-ai-security-zero-to-hero
Cloud + Data + AI + Security from zero to hero. 122+ certs across 22 providers, 37 plain-English concepts, 15 hands-on builds, cross-cloud + AI service comparisons.
patrick-toulme/harnessgym
Iterative agent harness improvement: run a coding agent on a hard task, generate the reusable tooling it was missing, qualify it, and replay fresh sessions with it activated. Works with Codex and Claude Code.
News · 3
Databricks’ former AI chief thinks he can cut AI’s power bill by 1,000x
Un-0 is an image-generation system tool that shows for the first time how the company's technology can replicate conventional AI systems.
A cheap trick for reliable structured output: feed the validation error back into the retry
<!-- SC_OFF --><div class="md"><p>If you generate structured output from an LLM and validate against a schema, you know the failure mode: usually fine, occasionally a missing field or an unparseable response. The common fix is a retry, but a plain retry is the same prompt at the same temperature, so you are just re-rolling.</p> <p>What worked much better for me was making the retry self-correcting: when validation fails, put the validation error and the model's own previous output back into the
Timing Trick Cuts Energy Used in LLM Training by Up to 14 Percent
<img src="https://spectrum.ieee.org/media-library/abstract-illustration-of-a-pixelated-cube-leaking-vibrant-colors-onto-a-dark-grid.jpg?id=66884338&width=1245&height=700&coordinates=0%2C187%2C0%2C188" /><br /><br /><p><a href="https://openai.com/" rel="noopener noreferrer" target="_blank">OpenAI</a>’s fourth <a href="https://spectrum.ieee.org/what-is-deep-learning" target="_self">large language model</a> (LLM), <a href="https://openai.com/index/gpt-4-research/" rel="noopener noreferr