AI Intelligence Archive

Fix or rebuild your vibe-coded app? Run 8 checks in 30 minutes, no developer needed, and get a clear verdict: ship, fix, refactor or rebuild.

The problem: agents invent APIs I've been building CMS software for web designers since...

This is a submission for the Sanity Challenge, Path Two: Vibe-Code Something Strange I started...

Over the past few months, I have started noticing something unusual on GitHub. There are profiles...

Lohit Siriki https://www.kaggle.com/code/sirikilohit/arc-agi-3-duck-18-1gc-submit https://www.linkedin.com/in/lohitsiriki/

Lord Han Solo https://www.kaggle.com/lordhansolo Notebook: https://www.kaggle.com/code/lordhansolo/built-on-tufa-labs-duck-harness-milestone-2

Daniel Franzen https://da-fr.github.io/ Notebook: https://www.kaggle.com/code/dfranzen/arc-agi-3-milestone-2-solution

This is a submission for the Kaggle Benchmarking Challenge. Public leaderboards love telling us...

Submission for Hacktoberfest Weekend Challenge 2026 This is a submission for the...

I once watched a fallback model save a request and destroy a product decision. It was a...

Somewhere in every codebase there is a bug that's been there for months. It doesn't crash the...

3D Gaussian avatars support fast rendering, however, their real-time animation is often challenged by the costly neural inference. We address this bottleneck and show that the animation of pretrained avatar models can be closely approximat…

LLMs are increasingly applied to cybersecurity workflows, where they are expected to translate analysts' intent into tool invocations. However, existing evaluations focus on knowledge-based assessments or end-to-end agentic tasks, and do n…

Building reliable robot capabilities across diverse tasks requires substantial human effort to develop and maintain skills, design rewards, and integrate perception with control. We present Reconstruct, Practice, Go Real (RPG), a framework…

In diffusion transformers, a class label or a text prompt is embedded once, and the same condition is reused at every denoising step. We ask whether predicted embeddings can serve as this condition instead. Next-Embedding Predictive Autore…

What makes great scientists great? Even as AI systems start to make progress on open problems, scientists remain far ahead of them at sensing which prior idea, buried in an ever-growing archive of research, a new problem needs. To study th…

High-resolution 3D generation increasingly relies on voxel latents and multi-stage pipelines that first predict active structure and then synthesize local geometry. While effective, this design fragments continuous surfaces into many local…

We show that multimodal models possess strong reasoning abilities and that an appropriate harness can unlock their potential to solve tasks across diverse interactive environments. We introduce VISTA, a visual harness that gives a general-…

Full-parameter fine-tuning of large language models (LLMs) incurs substantial optimizer state memory overhead, limiting the model sizes that fit on modern GPUs. Existing approaches either compress optimizer state, abandon first-order gradi…

Several state-of-the-art methods for online reinforcement learning in continuous control improve policies using action gradients of a learned critic. However, critics are typically trained to predict returns, and accurate value predictions…

Discrete diffusion language models offer a compelling alternative to autoregressive generation for tasks demanding bidirectional reasoning and global constraint satisfaction. Yet they share a structural bottleneck: when decoding in paralle…

The generalized Schrödinger bridge on a graph moves mass between two distributions while charging a cost for the states visited. It has been approached by learning the rates of a controlled continuous-time Markov chain, with a temporal-dif…

While Large Language Models (LLMs) have demonstrated striking capabilities on frontier mathematical problems, it remains unclear whether they possess the structural mathematical understanding underlying their solutions. In this paper, we t…

Step-size selection remains a central challenge in large-scale neural network optimization; conservative steps slow convergence, while aggressive steps can destabilize it. We combine \textbf{Z}ero-and-\textbf{F}irst-\textbf{O}rder optimiza…

Intrinsically disordered protein regions (IDRs) play central roles in cellular processes such as transcriptional regulation, signal transduction, and subcellular localization, yet their functional design remains challenging. Structure-base…

Distribution Matching Distillation (DMD) trains a few-step student from the difference between separately estimated target and student scores, so it must keep an auxiliary diffusion model fitted to the student's evolving distribution at ex…

Molecular learning models are strongly shaped by their underlying representations. Yet standard sequential and graph formalisms struggle to explicitly encode higher-order topology, such as ring systems and recurring motifs. Existing higher…

Looped Transformers achieve parameter efficiency by repeatedly executing a shared block across recurrent loops. Each loop yields an intermediate representation decodable for the same next token, yet standard decoding discards earlier state…

Quasi-Newton (QN) methods have long been among the most effective methods for large-scale unconstrained convex optimization. Two obstacles have limited their use in deep learning: non-convexity and enormous parameter sizes. We introduce So…

Current controllable video generation systems often rely on 2D motion trajectories or sparse drag signals for object motion. These controls are ambiguous because the same 2D trajectory can correspond to different 3D motions, especially whe…

Multi-teacher on-policy distillation (MOPD) aims to combine the strengths of RL-trained teachers in a single student, but how teacher signals affect parameter changes remains underexplored. We study Qwen3-1.7B with four domain teachers tra…

“Upgrade the authentication library safely” sounds like a task. For an agent, it is a bundle of...

This is a submission for the Sanity Challenge, Path Two: Vibe-Code Something Strange What I...

Why scalar RLHF fails at credit assignment, why barking direct code fixes turns you into an exhausted human compiler, and how Socratic questioning plus topological scars prune doomed search trees at depth d=1.

TL;DR: Full Court Press is a zine for every WNBA game, live on AWS at fullcourtpress.lol. Code...

On December 20, 2025, a trader withdrew USDT from Binance and did everything the security guides...

Imagine you hire a very smart, very obedient assistant. You tell them: "Read this web page and tell...

Why terminal agents fail from corrupted shell state rather than bad reasoning, and how sampling candidate bash actions before execution cuts test-time compute by 5.8x.

If your agent cannot search the live web, inspect real sources, and cite where its answer came from,...