AI Intelligence Archive

so last week my Mac said the disk was full. like, actually full. 1.65 GB left out of 494 GB. I ran...

Quick guidance on when cursor's mcp connection drops mid-workflow and the agent retries blind.

The Gate Held, the Draft Leaked: A Three-Metric Evaluation of a Support Agent's Safety...

CCAR-P exam guide: 63 questions, seven domains, the $175 fee and differences from Foundations. A study plan and three original questions with explanations.

Most "remove burned-in subtitles" tutorials end at a before/after. The after always looks fine as a...

⭐ GitHub: github.com/grloper/plumbgraph · open source (Apache-2.0) · by @grloper ...

Weren't we supposed to be replaced by AI by now? Or at least work less? AI agents were supposed to...

The worst AI code isn't the code that crashes. Code that crashes, you notice. The worst one looks...

AI-generated code has a particular way of failing. It does not look broken. It is neatly formatted,...

Originally published on RecallRun, where the full scripts and raw output are attached. How do you...

Four AI reviewers, seven rounds, and a brand page they agreed beat its reference. Then I actually looked at it. What went wrong with the scoring.

Nine Codex config settings for a long unattended run, from approvals and network to AGENTS.md limits and secrets in the agent's shell.

Key takeaways A laptop with no GPU can run Qwen3-TTS voice cloning. Expect 3 to 6 seconds of...

Pakistani electricity bills are hard to read even when you're technical. The total jumps month to...

Introduction Have you ever created a bootable Windows 11 USB using Rufus, only to discover that your...

MemT-1.0-Nano folds past turns into a fixed-size memory you can save. What a developer decides, where it breaks, and what to measure.

Since the first week of this project, observability/prometheus/alerts.yml has contained this: -...

"Which guardrail framework should I use?" is the wrong question for a kill switch. The best...

An invoice extractor that's right most of the time is worse than useless if you can't tell which...

Imagine opening a business dashboard and finding this record: Refund request: R-204 Approved by:...

LiteLLM's postmortems trace 1.107.0 to an admin key deleted from a public repo in May but never revoked. The chain, and the git and gh habits that break it.

The first time I used the full reference allowance, the image got worse. Fourteen images: the...

I assumed 4K was the expensive thing. Then I read the price matrix properly: at 1K, max quality is...

Pedestrians increasingly encounter robots in urban public spaces without interacting with them, but how robots change the perceived safety of a street remains unclear. We examine how robot presence and type affect perceived safety across u…

Graphs play an increasingly important role in large language model (LLM) systems, supporting structural reasoning, knowledge grounding, retrieval, and memory. As these systems evolve toward the agentic era, graphs also organize execution d…

If you build AI features for an AIOps product, a customer will ask "can we use our own LLM?" sooner...

RL for LLM reasoning often reaches an early performance plateau as the policy distribution becomes increasingly sharp. Recent work has studied policy entropy as both a diagnostic and a control signal for this behavior. In our experiments, …

Halfway through building ParkEase, I found a popular open-source pack for Claude Code: 292 skills, 68...

Generalized Additive Models with pairwise interactions (GA$^2$Ms) are regarded as glass-box models, since each pairwise shape function can be visualized as a contour plot. In practice, the shape functions learned by methods such as EBM or …

Automatic modulation classification (AMC) underpins spectrum sensing and non-cooperative signal identification in cognitive radio, yet the two standard CPU-feasible approaches to it, a compact convolutional neural network (CNN) on raw in-p…

Off-policy deep reinforcement learning trains on random samples from a replay buffer of past experience. In physical robot settings, that buffer is dominated by routine: thousands of near-identical transitions from normal operation, while …

Mixture-of-Experts (MoE) enables multimodal large language models (MLLMs) to scale capacity efficiently, but expert parameters dominate memory even though only a few experts are activated per token: they account for over 90% of model size …

Diffusion drafters accelerate speculative decoding by denoising multiple draft tokens in parallel. Their training uses anchor sampling to construct compact draft queries and performs cross-attention with a block-sparse mask over a much lon…

Reasoning models allocate test-time compute across distinct behaviors such as planning, deriving, and verifying. However, models frequently "overthink," continuing to verify and re-derive long after finding a correct answer. This wastes ex…

Merging companies that each run Salesforce must consolidate their customer data into a single organization while both source systems remain in use. This requires reconciling different schemas and picklists, resolving duplicate customers ac…

We study the minimum-disagreement cluster editing problem that, from a complete edge-signed graph, where a positive edge represents two vertices agreeing to each other while a negative represents a disagreement, constructs disjoint cliques…

Planning electricity systems requires repeated decisions that connect regional resources, investment, operation and network constraints. Here we present an autonomous planning framework that carries prepared regional scenarios through prop…

Saliency maps, offered as evidence that mammography classifiers use the cancer, are untested in dense breasts, which can hide cancers. We tested whether they locate cancers worse there, and why. On 1,345 malignant CBIS-DDSM views, we score…

Agentic architecture is repeating service-oriented architecture's two worst mistakes, the smart pipe and the synchronous chain.

Patient world models are increasingly proposed as simulators of clinical trials, and recent surveys rank their capabilities on a ladder from temporal prediction to counterfactual rollouts. Position on that ladder is currently assigned by r…