The following table separates software required to run or develop ROX from software used by the connected laboratory equipment. Versions are pinned only where they ...
Researchers have introduced NVCR, an extensible C++20 native runtime that accelerates neural video compression execution ...
MIT has unveiled an innovative, groundbreaking paradigm dubbed "Weight Space Programming", representing a transformative new ...
"Please improve an AI that is bad at math without additional training."When asked this, we usually think of adding training ...
Marsalek stealer hides in fake Roblox, Fortnite, and CS2 cheats, stealing passwords, cookies, Discord tokens, and crypto data ...
Running AI (Large Language Models) on a GPUThis is common knowledge for everyone who interacts with generative AI. AI models ...
MIT CSAIL's "weight-space programming" has a frontier LLM read and edit neural network weights directly, with no gradient descent. Surgical edits ended Qwen's reasoning loops, but the results come ...
Salesforce's SRD distills hindsight into foresight, rescuing agent RL when rewards vanish and lifting success from 0% to 60.6 ...
Researchers applied an offline fine-tuned language model and association rule mining to extract critical production factor ...
ReWY accelerates the backward pass of DeltaNet, Gated DeltaNet (GDN), Kimi Delta Attention (KDA), and GDN2 without changing the model recurrence or training objective. This repository provides the ...
Astra identifies game policies from raw weight matrices and fixes reasoning loops in Qwen3.5-0.8B by editing 0.016% of parameters, lifting MATH-500 scores from 7.9% to 48.1% without training loops.
GPT-6 Astra edited Qwen’s weights and raised MATH-500 from 7.9% to 48.1% in author-run tests. How weight-space programming works—and its limits.
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