Amp has 3 modes: deep (deep reasoning with extended thinking for complex problems), smart (unconstrained state-of-the-art model use), rush (fast, low-token GPT-5.5 with no reasoning for small, well-defined tasks).
Models
Amp uses the best model for each task: leading generalist foundation models for complex reasoning and planning, and smaller specialized models for fast, accurate responses in specific domains.
AMP - a web component framework to easily create user-first web experiences
Whether you are a publisher, e-commerce company, storyteller, advertiser or email sender, AMP makes it easy to create great experiences on the web. Use AMP to build websites, stories, ads and emails.
How enabling two settings tripled our scores on the ARC-AGI-3 benchmark
How two API settings improved GPT-5.6 performance on ARC-AGI-3, boosting scores and efficiency by retaining reasoning and enabling compaction.
GPT-5.6: Frontier intelligence that scales with your ambition
More intelligence from every token, stronger performance per dollar, and more capability on demand for your hardest work.
Positive Grid | Guitar Amps, Software and Apps
Positive Grid is where innovative technology meets brilliant music creation. Push your guitar playing to the next level with our amplifiers, software and apps.
Lightweight Guide to understanding GRPO and RL principles
A beginner-friendly guide to Group Relative Policy Optimization (GRPO) training workflow without assuming prior RL knowledge.
The Ultimate Guide to Running an Arixx Encounter
GPT-5.6 Sol Model | OpenAI API
GPT-5.6 Sol is the frontier model in the GPT-5.6 family. It roughly corresponds to the unsuffixed model tier used in earlier GPT-5 families. The gpt-5.6 alias routes requests to GPT-5.6 Sol.
2. DID interning gave an almost 6x reduction in backfill write amp!!!!! write amp!!!!!! 36x -> 6.2x write amplification! hugeeee for running hubble on smaller VPSes with lower-throughput network block storage. i gotta write this one uppppp
fig (aka:[phil])
bonus backfill notes: 1. the order of repos from relay listRepos has a *significant* bias toward bigger-repos-first. this is not optimal for minimizing total backfill time!! 2. theres a huge backfill write amplification trick: interning DIDs. write amp!! not space! i gotta write this one up.
