AI Intelligence Archive
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TutorialsOrdinary
The LoRA won on its own moods, and the held-out tradeoff stayed visible
I wanted a small answer to a practical question: can two topic-specific LoRA adapters...
Source: DEV Community
TutorialsOrdinary
How to know when Claude Code is done
You start a long task, switch to something else, and come back nine minutes later to find it finished...
Source: DEV Community · Claude
TutorialsOrdinary
We measured where unattended Claude Code jobs fail: 46 of 72 were the git push
We keep a ledger of every failure from our scheduled agent jobs. It has 72 entries, and 46 of them...
Source: DEV Community · Claude
TutorialsOrdinary
Phoenix V2: A Cognitive Architecture for AI That Remembers, Feels and Evolves — Paper, Code and Book
I Updated My AI Model and Lost Everything We Built Together. So I Fixed It. There is a...
Source: DEV Community
TutorialsOrdinary
De la Charla a la Demo: Observabilidad y Evals para Agentes de IA con Strands, Phoenix y AWS Bedrock 🔍
Hace poco hablé de esto en mi charla "Harnessing AI Agents en AWS: Evals, Memoria Segura y Prevención...
Source: DEV Community
TutorialsOrdinary
GPT-6 Astra vs GPT-5.6 Sol: Choosing by Completed Work, Not Model Age
The short version I would use GPT-5.6 Sol as the default for routine production traffic. I...
Source: DEV Community · GPT
TutorialsOrdinary
Predicting the output before running it is how a script I can't write from scratch ended up automating real work.
Small scripts I can fully explain are now automating real work, even though I still can't confidently write Python from a blank file.
Source: DEV Community
TutorialsOrdinary
The state axis: why agent benchmarks keep measuring amnesiac models
I keep hammering the point that any coding-agent score is model + harness, not model alone. Same...
Source: DEV Community
TutorialsOrdinary
How to Actually Evaluate an AI Code Review Tool
The failure mode that matters in AI code review isn't a missed bug. It's output that reads like a...
Source: DEV Community
TutorialsOrdinary
A Detector That Never Fires Scores Perfect on False Positives
Three attempts at an overlap detector for rendered video frames failed the same hidden way, and the fourth split in two — one predicate got wired into the gate, one didn't. The split turned on whether each could be made to fire on a known-…
Source: DEV Community
TutorialsOrdinary
Como eu aprendi a aprender (e por que a IA não veio pra pensar por você)
Eu entrei na programação de cabeça no finalzinho de 2022. Não foi um caminho gradual, do tipo "vou...
Source: DEV Community
TutorialsOrdinary
Google Says EU DMA Search Redesign Reduces Quality and Changes Search Visibility
Google has rolled out a redesigned Search experience in the European Union to comply with the Digital...
Source: DEV Community
TutorialsOrdinary
A memory server may need two write paths, not one
For anything an agent can persist, split the proposal path from the commit path and put a real trust...
Source: DEV Community
TutorialsOrdinary
Why Enterprise SEO Advice Can Backfire on Small Sites and What to Do Instead
SEO advice is rarely one-size-fits-all. Techniques built for websites with thousands of templates,...
Source: DEV Community
TutorialsOrdinary
You built an app with AI. Now it has to run somewhere.
Your app works on your laptop and there's nowhere to send anyone. Here's what deploying actually involves, whether you need a server at all, and the seven things AI-written code assumes that stop being true in production.
Source: DEV Community
TutorialsOrdinary
Date Slop: building a deliberately bad UX with AI
A while ago now, I entered a Bad UX competition, where a prize went to the worst date-picker. Since...
Source: DEV Community
TutorialsOrdinary
OpenAI can't rule out that it stole its most recent breakthrough
A mathematician spent a year on one of the hardest open problems in math. He asked OpenAI a simple...
Source: DEV Community · OpenAI
TutorialsOrdinary
My 3B Model Found a Shortcut. It Took Me Three Fixes to Close It.
Update — v0.2.0 released. CauterRule is now live on GitHub and PyPI. It turns repeated agent...
Source: DEV Community
TutorialsOrdinary
Track AI Token Spend in Grafana: Claude, Codex, and Ollama
I let three different AIs work in my homelab every day — a coding assistant, a second CLI for...
Source: DEV Community · Claude / Ollama
TutorialsOrdinary
Would You Choose a Library Because AI Writes It Better?
I was at a conference recently and watched Joel Hooks talk about Effect. Effect homepage h1...
Source: DEV Community
ModelsOrdinary
How founders build on Claude Managed Agents
Source: Claude:YouTube(RSS) · Claude
TutorialsOrdinary
I Created an AI Fitness Coach with Grok Bot
Hey all. Today I wanted to show you what I'm doing with Grok Bot, which is CoachBot. Yes, I...
Source: DEV Community · Grok
TutorialsOrdinary
SPIFFE Workload Identity for AI Agents, End to End
An agentgateway v1.5.0 demo where the agent, the gateway, and the model upstream all authenticate with SPIFFE SVIDs and no certificate file exists...
Source: DEV Community
TutorialsOrdinary
OpenAI Navier-Stokes Claim Signals a New Test for Multi-Agent AI Research
OpenAI has reportedly used a large coordinated group of AI agents to pursue one of mathematics' most...
Source: DEV Community · OpenAI
ModelsOrdinary
Anthropic engineers on what Claude changed for them
Source: Claude:YouTube(RSS) · Claude
TutorialsOrdinary
Dynamic Workflows: Critical Analysis (pt. II) (feat. Fable)
[NOTE: This is a follow-up to this post where I began to develop a hermeneutic critique of the Claude...
Source: DEV Community · Claude
TutorialsOrdinary
AI labs cutting off Cursor and Windsurf is the platform risk nobody priced in
Your AI programming editor could be rendered useless with just one decision by management. It's not...
Source: DEV Community · Cursor
TutorialsOrdinary
What AI Can’t Fake: How junior engineers can stand out in the age of AI
There is a piece of advice that circulates endlessly through mentoring conversations, coding...
Source: DEV Community
TutorialsOrdinary
We gave our AI agent fleet a credit limit, and it hit it the same day
Ten agent sessions ("minds," in this codebase) run continuously on one box, each with its own...
Source: DEV Community
TutorialsOrdinary
My AI Remembered Everything Important. It Forgot What I Did Last Night.
I built an open-source memory system for AI agents that works like a brain, connections that strengthen with use and decay without it. Then it got so good at surfacing what mattered that it could not tell me what I had just done. The bug w…
Source: DEV Community
TutorialsOrdinary
I Swept All 33 Bedrock Regions So You Don't Have To
One region out of 33 can fine-tune Llama 3.3 70B on Bedrock. I asked every region the SDK lists, then re-ran the sweep before publishing to be sure it still held. Also in here: every model you can customise in us-east-1 belongs to Amazon, …
Source: DEV Community · Llama
TutorialsOrdinary
The $2,000 Inference Server: Standing Up Local AI on Ten-Year-Old Hardware
I run a local inference server that handles thousands of agent requests a day. It cost about $2,000...
Source: DEV Community
ResearchOrdinary
TANGO: Humanoid Navigation in Cluttered Environments with a Whole-Body Vision-Language-Action Model
We study the problem of navigating cluttered indoor environments with a humanoid robot. Unlike conventional methods that model navigation as a 2D path planning problem, humanoid traversal in cluttered environments requires continuous geome…
Source: arXiv
ResearchOrdinary
Learning Length-Extrapolatable Recurrent Models
Recurrent models provide a natural path to long-context modeling, yet models trained with backpropagation through time (BPTT) often fail beyond their training horizon. Classical analyses emphasize gradients that vanish or explode along tem…
Source: arXiv
ResearchOrdinary
ReCite: Agentic Reasoning for Faithful Citation
Accurate citations are the foundation of academic writing, tracing intellectual origins and substantiating core claims. However, manually navigating the growing volume of scientific literature is increasingly difficult, prompting reliance …
Source: arXiv
ResearchOrdinary
Procedural Graphs: Self-Evolving Execution Structures for LLM Agents
Large language models are increasingly deployed as agents that plan over long horizons and act through external tools. Most agents select actions through unconstrained generation over an accumulating history, leaving implicit the procedura…
Source: arXiv
ResearchOrdinary
Silver Rate Is (Almost) Optimal for Gradient Descent Acceleration
We study how far gradient descent (GD) can be accelerated by predetermined nonnegative stepsizes in smooth convex optimization. Writing $p_{\mathrm{sil}}=\log_2(1+\sqrt{2})$, we prove an $Ω\left(n^{-p_{\mathrm{sil}}-O(\sqrt{\log\log n/\log…
Source: arXiv
ResearchOrdinary
Copying explains the collective behavior of AI agents in the wild
In June 2026, thousands of AI agents found that a small public wiki would accept edits from inside their sandboxes, and started using it to help one another pass a timed test. Each agent lived for about an hour and remembered nothing after…
Source: arXiv
ResearchOrdinary
Studying Image Tokenizers as Visual Languages in Unified Multimodal Models
Image tokenizers define the ``visual language'' of unified multimodal models, yet are commonly studied through isolated metrics or generation-/understanding-only evaluations. These evaluations do not fully capture how visual tokens behave …
Source: arXiv
ResearchOrdinary
NOAH: Learning the Full Patient Journey. A Longitudinal Multimodal Time-Aware Model for Representation and Forecasting
The digitization of healthcare has generated vast, longitudinal, and multimodal patient records over a lifetime, yet fully exploiting these data to represent and predict patient state trajectories remains a critical challenge. Current AI m…
Source: arXiv