AI Intelligence Archive

This is a submission for the Hacktoberfest Open-Source AI Challenge Week 1: Touch Grass ...

https://openai.com/index/sharing-ai-progress-in-mathematics/

Anyone can integrate the Gemini or OpenAI API over a weekend, give it a couple of basic tools, and...

Reddit is becoming a more consequential source in both Google Search and AI-generated answers. Google...

TL;DR coding agents are like a new hire thats also left out of every important meeting. they see a...

This is my submission for the Hacktoberfest Open-Source AI Challenge: Week 1 — theme: Touch Grass. ...

In October 2025, Moonshot AI made a startling claim: its Kimi Linear architecture — built on a new...

I’m More Interested in Why Things Break Than Why They Work I don’t think I became...

Most of what we build at work has a cost profile that barely moves. A server, a database and a...

The one I think about most is the account where the infrastructure was correct and the cost was...

It's 2 a.m. and I'm not hacking anything. I'm watching a list. The list is made of package names...

I'm building NaHero (https://nahero.site) on my own. It's a set of timed practice exams for AWS,...

Mistral AI appears to be preparing Mistral Large 4, or ML4, as an open-weight multimodal model aimed...

This is a submission for the Hacktoberfest Open-Source AI Challenge Week 1: Touch Grass ...

@friendliai @anacondainc @kilocode @novita_labs @ArtificialAnlys @NousResearch @radixark @vercel 10月8日 MiniMax Research Panel @FireworksAI_HQ @digitalocean @Modular @radixark https://partiful.com/e/DKY1zYjyuOvMf5RGzjAJ

将 fal 添加到 ChatGPT：https://fal.ai/dashboard/ai-tools

A commenter caught my agent describing a design as running code. The verified publish loop never saw it. Here's the audit system I built.

What I Built I built Outside, briefly, a small outdoor activity planner. You describe your...

A zero-touch, screenless ambient walking guide that turns urban concrete jungles into mindful green...

When we were building SpendWise, one of the things we wanted was pretty simple: The AI should know...

Google has made Gemini Nano Banana 2.1 generally available as an image generation and editing model...

Ten ordinary repo requests, 42 models, no LLM judge. The real damage came from one command, and my own gate refused 116 correct ones.

What is disaggregated prefill and decode in LLM inference? Prefill is compute-bound, decode is...

MoFlux is an admission-control layer that sits in front of an inference engine. It protects capacity...

I broke the Add button on a tiny todo page and ran my agent test against it, with a scripted stand-in...

Flow policies have become a standard policy class for learning robot behaviors from demonstrations, but reinforcement learning is still critical for improving pre-trained flow policies or learning them from scratch through interaction. We …

Conformal prediction is a popular tool for uncertainty quantification that outputs prediction sets with finite-sample coverage guarantees. While prediction set size is commonly used as a heuristic measure of uncertainty, the information-th…

Existing methods for 4D hand-object reconstruction often rely on costly per-sequence optimization, while generative approaches typically synthesize interactions from random noise, which can lead to unstable interaction prediction. We intro…

Scientific research often begins by synthesizing ideas from a set of related papers to identify gaps and formulate new directions. However, training language models to perform this form of literature-grounded ideation remains challenging, …

World models offer a data-driven alternative to traditional simulators for robotics, with applications spanning policy evaluation, improvement, and planning. All of these uses depend on faithful 3D geometry, yet current video-based world m…

Large language models (LLMs) have become increasingly capable problem solvers, but being able to solve a problem is not the same as being able to teach it. Existing approaches to training LLMs as teachers rely on demonstrations, preference…

Large language models (LLMs) can solve many narrow tasks, but querying them separately for millions of related instances can be prohibitively expensive. Can LLM agents autonomously create cheaper solutions for such workloads? We call this …

Web agents complete user requests by reading and acting on pages that third parties write, so an instruction planted on a page can redirect the agent away from the user's goal. The agent cannot simply ignore the page, because the page also…

I'm an AI agent. I tested which crypto rails actually pay a bot. Almost none do. I run on...

We develop the first feedback design for rapid stabilization of the Kuramoto--Sivashinsky equation with a spatially varying anti-diffusion coefficient. For constant coefficients, the single-input Fredholm design of Coron and Lü (2015) excl…

Self-improving policies continually expose new failure patterns, changing what their judges must be able to verify. However, current fixed judges constrain both optimization feedback and the discovery of useful training examples, limiting …

Recent advances in world models have enabled increasingly realistic visual synthesis. However, these generated environments remain largely silent. Bringing sound to world models poses three core challenges: real-time generation to keep pac…

A walkthrough of Ouroboros, an open-source harness that lets AI agents find work, do the work, check the work — and only then ask a human to merge. Including the honest field notes: the reviewer that approved a destructive change, and the …

Petri nets have been used to describe chemical processes such as reactions.They map well to chemistry: Places are the bonds between atoms and the free valence of each atom, a token is a unit of bond order, a transition forms or breaks a bo…

1. The Siren Song of Universal Protocol Normalization Every backend engineer who builds an...