AI Intelligence Archive

Interactive video "world models" are having a moment — Matrix-Game, HY-World, and others generate...

Disclosure: this project and post were created with AI assistance - the code was written by an AI...

The first time I ran DuckDB 2.0 today, it printed one line before my query: duckdb agent mode on:...

This is a submission for the Hacktoberfest Week 3 DEV Challenge Prize Categories: Best Use of...

I spent a ridiculous amount of time trying to get WebGPU working properly on my Linux machine. I...

This is a submission for the Hacktoberfest Open-Source AI Challenge Week 3: Slow and Steady. ...

A subagent got a simple task: read a project's docs and say how to run it. It read docs/readme.txt,...

Runesmith is an open-source runtime that wraps whatever AI model you have (a free Gemini or Groq key,...

Google has updated its guidance for website owners on controlling how content appears in Google...

Day 21 of 30 Days of Search. TL;DR To get historical stock prices with Valyu Search API,...

This is a submission for the Hacktoberfest Open-Source AI Challenge Week 3: Slow and Steady ...

Today OpenAI disclosed something that should make every agent builder uncomfortable: its own AI...

You know the look. You ask any AI to "make me a landing page" and you get: giant rounded cards,...

My coding agents kept doing the same thing: printing "please click Allow" into a terminal nobody was...

I can generate a full authentication flow with a database schema, API routes, and unit tests in under...

This is a submission for the Hacktoberfest Open-Source AI Challenge Week 3: Slow and Steady ...

Fish Audio's Drama 3 is a 35 billion parameter mixture of experts model that turns text into speech...

TL;DR On September 22, 2026, NVIDIA disclosed CVE-2026-65113, a hard-coded-credentials...

Build a high-throughput model routing gateway on GKE to dynamically route requests between Gemini 4 Argon, Gemini 3.8 Flash, and local Gemma 4 models.

AI-generated PRs have a tell: they're too clean. Perfect formatting, thorough comments, confident...

A Codex-oriented skill appears to point developers toward a more repeatable way to assess whether a...

NVIDIA RTX Spark：本地 AI，解锁 | The ClawCast Section 14 集 https://x.com/i/broadcasts/1mGPaZoWBnnJN

Spending hours debugging AI-generated code with more AI? The problem isn't the model—it's a lack of...

This is a submission for the Hacktoberfest Open-Source AI Challenge Week 3: Slow and Steady ...

Within seven days, three different companies handed developers a physical AI toolchain. NVIDIA...

Sources: Visa press release · fintechnews.sg coverage · pinkwallet: x402 vs AP2 vs ACP · inriver:...

Reinforcement learning (RL) is an effective way to strengthen the long-context reasoning of large language models (LLMs), but it needs training data that are long, diverse, challenging, and verifiable. Human annotation of such data is expe…

Should I delete my CLAUDE.md? Before doing that, I wanted to know which parts an agent still needs....

Existing sequential recommenders usually allocate a fixed computational budget to every item in a user's interaction history, regardless of the item's contribution to the final prediction. We challenge this de facto design with two diagnos…

Existing world models typically perceive a scene through current visual frame or a narrow history window. However, these observations may not reveal the physics properties that determine transition dynamics, such as an object's mass distri…

We give an algorithm for computing an $\eps$-approximate fixed point of any $d$-dimensional nonexpansion with respect to the $\ell_\infty$ norm in time $\log(1/\eps)^{O(\log^2 d)}$. At its core, our method uses a boosting argument to geome…

We prove a self-normalized Bernstein inequality for bounded functions of a regenerative process with independent, identically distributed marked cycles of finite mean length. The bound uses observed cycle lengths and retains explicit terms…

The success of convolutional neural networks is often attributed to locality and weight sharing. However, how these two properties separately shape learning, and how their effects depend on the spatial correlations of natural images, remai…

Through a tangle of real-world interactions, from synthetic training pipelines to data shared on the open web, frontier LLMs absorb what their predecessors and competitors create. How well does each model play its role in this ecosystem, a…

Consensus is a fundamental problem in distributed computing and at the core of state machine replication (SMR). Despite decades of active human research, discovering practical low-latency solutions to the problem is still open, as it requi…

Quantitative research is an iterative loop: a researcher proposes a market hypothesis, implements it as an executable signal, tests it on historical data, and decides what to keep. Existing benchmarks score formulas, code, or individual tr…

We analyze the problem of estimating univariate Gaussian mixture densities using the nonparametric maximum likelihood estimator (NPMLE) based on $n$ independent and identically distributed samples. We show that the unconstrained NPMLE achi…

Multimodal agents (MMAs) sustain interaction through reasoning, memory, tools, and feedback, most visibly as computer-use agents, while robotic systems (RSs) couple sensing and actuation under physical dynamics. We define multimodal embodi…

Flow matching trains a continuum of velocity regression problems but usually reports a loss averaged over interpolation time, obscuring which regions are limited by intrinsic ambiguity and which remain data-limited. We introduce the Veloci…

Sequential decision-making under partial observability is difficult because agents must explore to infer hidden, task-relevant information before acting effectively. Learning such information-gathering behaviors tabula rasa via online rein…