Adds two flags to ai-toolkit's minimax_h3_ref2va architecture:
align_video_refs — a control video becomes a true v2v guide instead of a loose
reference: the arrangement that makes LTX-style IC-LoRA training work, applied to H3.control_latent_only — the control media reaches the DiT as latents only and is never
shown to the VLM. Faster to train, much smaller embed cache, and it closes a train/inference
gap that exists in ComfyUI today.
The IronMon challenge is a Pokémon Randomizer Challenge run created by iateyourpie. Designed to make experiencing the randomizer fun and challenging, while taking away the wild Pokémon grind that come with some other challenges. It was originally made for Fire Red / Leaf Green but the rules can be applied/adjusted for other games as well. If you're interested to find out more about IronMon, join our Discord community!
IronMon has varying levels of difficulties, to keep it more approachable but also provide the toughest challenge possible for those who want it.
| -- This construction comes from the paper | |
| -- Contextual Embeddings: Implementing Bound Variables through Instance Resolution | |
| -- https://dl.acm.org/doi/10.1145/3808269 | |
| -- I made some improvements specific to Agda. | |
| module _ where | |
| open import Data.Product using (Σ; proj₁; proj₂) renaming (_,_ to _&_) | |
| open import Relation.Binary.PropositionalEquality |
A small, self-checking rocBLAS stress test. It runs five matrix multiplies (the shapes of an LLM layer) back to back and checks every output bit for bit against a reference computed at startup. On a healthy GPU it should never find a mismatch.
I wrote it to find out whether my RX 7900 XTX is faulty: on my card it finds whole output columns of NaN within minutes, while OCCT and memtest_vulkan pass. Results from other cards tell me whether it's my card or something shared.
hipcc). Builds with ROCm 7.2.4, 7.14.1 and 10.0; the runs so far used 7.14.1.rocminfo | grep gfx), for example gfx1101 (RX 7800 XT / 7700 XT) or gfx1102 (RX 7600).
All of the below properties or methods, when requested/called in JavaScript, will trigger the browser to synchronously calculate the style and layout*. This is also called reflow or layout thrashing, and is common performance bottleneck.
Generally, all APIs that synchronously provide layout metrics will trigger forced reflow / layout. Read on for additional cases and details.
elem.offsetLeft, elem.offsetTop, elem.offsetWidth, elem.offsetHeight, elem.offsetParent
A pattern for building personal knowledge bases using LLMs.
This is an idea file, it is designed to be copy pasted to your own LLM Agent (e.g. OpenAI Codex, Claude Code, OpenCode / Pi, or etc.). Its goal is to communicate the high level idea, but your agent will build out the specifics in collaboration with you.
Most people's experience with LLMs and documents looks like RAG: you upload a collection of files, the LLM retrieves relevant chunks at query time, and generates an answer. This works, but the LLM is rediscovering knowledge from scratch on every question. There's no accumulation. Ask a subtle question that requires synthesizing five documents, and the LLM has to find and piece together the relevant fragments every time. Nothing is built up. NotebookLM, ChatGPT file uploads, and most RAG systems work this way.
Caution
As of August 26th 2026, Discord has started suspending quest access of people caught automating quest completion.
Some users have received the following system message:
There isn't much I can do to make the script undetected, so use it at your own risk, as you WILL get flagged by doing so.
As quixel is being removed, all items are free to aquire. This script is to automate the process to add items to your account (As of writing, a total of 18874 items)
Note: This script only tested in the latest version of Chrome.
run.js)