AI Intelligence Archive

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

Design notes from a photo-restyling app: an atomic debit plus job insert in D1, a queue consumer that can't re-enter a paid model call, a vision check before and after generation, and a daily cost breaker.

My submission for the Hacktoberfest Open-Source AI Challenge, Week 3 (Slow and Steady). Built this...

"Done." Two words that mean nothing on their own. Every time an agent reports completion, I run the...

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

OpenAI has fixed a ChatGPT outbound-link tracking bug that caused many visits to be misclassified as...

Closed source has always leaned on an unstated assumption: reading someone else's compiled code is...

7 Strategies to Stay Sane in the Never-Ending Tech Hype Cycle ...

Reuters reported it yesterday. One operator, 23 hours per intrusion, $5,000 in tokens....

Automate root-cause incident triage on GKE by combining Gemini 4 Argon multi-step reasoning with the GKE Model Context Protocol server.

Anthropic has published results from an exploratory protein-design campaign in which Claude generated...

Notes from shipping v5.1 of a 7B model that designs pixel art games: what went wrong with the first patch, what worked, the numbers, and why the project is now pixel art only.

Anthropic has reported a closed-loop protein-design campaign in which Claude generated 318,484...

If Claude ignores a rule, your CLAUDE.md is probably too long, not too short. Here's what to keep, what to cut, and where the rest should go.

I love to try out new agent skills. Anything that can help me be more productive I'm all for. Today I...

Video generation models can now depict remarkably realistic motion. Yet it is unclear how to use this motion beyond pixels: to animate a specific 3D asset and replay the animation in its 3D scene. For instance, a video model can show a mon…

Agentic artificial intelligence (AI) systems hold immense potential for automating complex workflows in materials discovery and design, but extending them to domain-intensive mechanistic investigations remains challenging. Here, we present…

Dexterous multi-finger hands hold promise to unlock diverse skills like functional grasps, in-hand reorientation, and dynamic handover that the human-designed world assumes, yet existing learning recipes force a trade-off. Goal-reaching re…

Motivated by the human ability to integrate experience across language, perception, and action, we introduce UniWALM, a unified world-action-language model that learns video, action, and language in a single shared representation, where ea…

Warehouse robot fleets continuously observe operational conditions, but preserving these observations as reusable semantic memory incurs substantial computation, communication, and storage costs. For example, explaining recurring aisle blo…

Planning under uncertain control execution noise requires reliable feedback policies across diverse environments. We introduce Planning Under Noise (PUN), a neural operator that learns noise-aware value fields for planning in unseen geomet…

Spatial intelligence has recently been assessed through generative tasks such as spatially grounded image editing, yet language-guided generation of spatially consistent views from partial multi-view observations remains underexplored. We …

Multi-token prediction (MTP) can accelerate language-model decoding by drafting several tokens and verifying them in a single target-model pass. However, the best speculation horizon changes with context: longer drafts offer greater amorti…

Graph generative models commonly use graph-specific Transformer architectures to jointly update node and edge features. However, these architectures do not directly benefit from recent hardware-aware attention implementations, limiting the…

Picture-description dementia classification uses a shared visual scene, but a transcript-level prediction alone does not identify the scene evidence underlying its inputs. NarraSpace links words and speech times to named picture elements a…

Modern distributed microservice deployments generate massive volumes of heterogeneous, multi-format observability logs across physically and logically partitioned infrastructure. Isolating root causes during cascading failures remains an a…

Mathematical reasoning remains underexplored for low-resource languages, including Dialectal Arabic. To bridge this gap, we introduce the DAR-MGSM (Dialectal Arabic Multilingual Grade School Math) Benchmark, the first manually curated benc…

Current evaluation of LLM-generated debate largely focuses on argumentative quality, leaving the value structure of generated arguments underexamined. We introduce a diagnostic metric framework for comparing how values are expressed and or…

TS2Vec is one of the strongest self-supervised methods for time series classification, introduced in 2022. It is designed to be trained anew on every dataset: self-supervised pre-training followed by linear probing. Since then, the field h…

Computer-use agents are limited by the interfaces humans give them. An agent may type a spreadsheet cell by cell when a single line of code would do, or print all two thousand lines of a file through a shell to find one function. Both the …

Neural implicit representations provide memory-efficient signed distance field (SDF) parameterizations for large-scale LiDAR scenes, but the geometry recovered from sparse and often noisy inputs carries jitter and artifacts. Classical geom…

RTL repair benchmarks should measure whether a model can fix broken RTL given a specification. To this end, we construct and hash-bind RTLRepairDataset, 5,784 (broken, fixed) training pairs; RTLRepairBench, 459 held-out cases with 374 synt…

My Downloads folder has a talent for becoming a digital storage room. PDFs, screenshots, source...

Neuro-spectral architectures (NeuSA) are a class of physics-informed neural networks (PINNs) that have proven effective for solving time-dependent PDEs in the frequency domain. However, training and inference often rely on costly numerical…

Camera-trap imagery presents substantial variation in animal appearance, illumination, background clutter, and visual degradation. Masked autoencoders (MAEs) offer a label-free framework for modeling such data through reconstruction of ran…

We prove that every $\operatorname{ReLU}$ network can be exactly simulated by a $\operatorname{ReLU}$ network with two hidden layers. We present two proofs: one that is based on fillings in homological algebra and a direct combinatorial pr…

I built a tool to help with community support. Then I kept building. I spend a good part...

Okay so here's something that bugged me for a while. You build an agent. Step 1 feels snappy. By...

Mistral released Timestral, four open-weight time-series models that top three benchmarks — by 0.003 MASE on their own table. I ran all three sizes against one-line baselines, on a known generator and on fresh Paris weather. With one summe…

Global authority does not automatically translate into local authority in AI search. That is the...