How does "test-time compute scaling" work? Test-time compute scaling is a strategy that allows language models to utilize additional computational resources during inference to enhance their problem-solving capabilities. This approach is particularly beneficial for complex tasks

Automating GPU Kernel Generation with DeepSeek-R1 and Inference Time Scaling Date: 2025-02-12 Categories: Generative AI, Intermediate Technical, Development & Optimization, Deep dive, General, AI Inference / Inference Microservices, AI Agent, Hopper Keywords: GPU Kernel

Disclaimer, the following tweet thread was generated by OpenAI Deep Research. Content aside (which is pretty good I would say), ChatGPT is definitely a master of emojis! All the emojis in the tweets are right on the topic, lol.

on-demand H100 for $0.99/hr, 4090 for $0.20/hr at Hyperbolic likely the cheapest GPUs around tell me what you're building, and I'll spot you free credits for an 8xH100 node for at least a few hours to start.

Excited to share LeetTools MCP Server! This MCP server seamlessly integrates the power of [LeetTools](github.com/LeetTools) – an AI-powered search assistant designed to create highly customizable search workflows. Whether you're looking for precise web results or searching

Continuing the journey of optimal LLM-assisted coding experience. In particular, I find that instead of narrowing in on a perfect one thing my usage is increasingly diversifying across a few workflows that I "stitch up" the pros/cons of: Personally the bread & butter (~75%?) of

# Ai Coding Assistant **Title: The Coder’s Companion** In the quiet hum of the screen, Cursor breathes — an AI pulse beneath fingertips, a whisper of code before thought, a partner in the dance of creation. No longer alone in the labyrinth of syntax, it knows the