AI Intelligence Archive
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TutorialsOrdinary
AI Fever
I love AI I used every single day. so this is not, by any means, an antiAI rant. quiet the opposite...
Source: DEV Community
TutorialsOrdinary
The tutorials moved faster than I did: building an agent that catches deprecated dependencies
I set out to learn Amazon Bedrock AgentCore, AWS’s managed runtime for AI agents. So the plan is to...
Source: DEV Community
TutorialsOrdinary
AgentGPT Pricing in 2026: What $40/Month Really Buys (and What It Can't Finish)
AgentGPT pricing in 2026: free tier, $40/mo Pro, custom Enterprise — plus how the 25-loop cap and reliability decide what your money actually buys.
Source: DEV Community
TutorialsOrdinary
I stopped writing prompts. I write the repo.
The best prompt I ever wrote was a README. What changed when I moved my conventions out of the chat window and into the files they describe.
Source: DEV Community
TutorialsOrdinary
How I Built an AI Photo Restoration App with Next.js, Supabase, and Replicate
A few months ago I dug out a box of family photos from the 80s. Most were faded, scratched, or had...
Source: DEV Community
TutorialsOrdinary
BattleBots, but the robot is your agent harness
I built an arena where two AI agents fight over a network in real time. One of them refused the job. The other one started laying false trails.
Source: DEV Community
TutorialsOrdinary
The extraction returned zero memories, and nothing screamed
A session commit reported success. The memory extraction produced zero memories. No error dialog, no...
Source: DEV Community
TutorialsOrdinary
You Have a Review Ceiling. Measure It Before It Measures You.
I sat in on Margaret-Anne Storey's DORA community session last week, and she put a name on the thing...
Source: DEV Community
TutorialsOrdinary
Building OmniCache: A sub-millisecond Python proxy that cuts LLM bills by 50%
GitHub Repository: https://github.com/13manmayarai-hash/omnicache-proxy (MIT Licensed) What...
Source: DEV Community
TutorialsOrdinary
Before Asking an AI Coding Agent to Fix a Bug, Verify the Bug Exists
Before asking an AI coding agent to “fix this bug,” there is one question worth asking first: Does...
Source: DEV Community
TutorialsOrdinary
The cap said 3, the ledger says 6: our quota lived in the planner, not the executor
One of our product levers is capped at three executions per ISO week. In week 2026-W35 the ledger...
Source: DEV Community
TutorialsOrdinary
I Tried 4 Models to Save My Self-Improving Agent. All 4 Failed.
Previously: 9 Bugs That All Looked Like a Working System · I Built an AI That Rewrites Its Own...
Source: DEV Community
TutorialsOrdinary
Three gotchas installing a plugin into someone else's agent
Three gotchas installing a plugin into someone else's agent This one is scoped tight:...
Source: DEV Community
TutorialsOrdinary
The discriminator between a membrane and a logger
The discriminator between a membrane and a logger The first version of this test passed...
Source: DEV Community
TutorialsOrdinary
I refuse to open sloppy AI PRs. These eight blockers are the whole review.
Lint is green. The bot left forty comments about naming. Somebody typed LGTM. Then billing...
Source: DEV Community
TutorialsOrdinary
Claude Code journal plugin: Notion session summaries at a glance
The /journal skill from my breadcrumbs post is now a Claude Code plugin anyone can install. One glanceable callout per topic, colored by season with an icon for the weekday, three Notion calls per run. What it writes, how to set it up, and…
Source: DEV Community · Claude
TutorialsOrdinary
RL 1: Biological foundations and the "Law of Effect" (1898– 1949)
Before GPUs. Before neural networks. Before transistors were even a rumor. There was a hungry cat in...
Source: DEV Community
TutorialsOrdinary
Making three years of a Telegram group chat queryable
Telegram exports two different shapes, and neither is the hard part. The hard part is packing messages under a 500k-word source cap and making the second run idempotent.
Source: DEV Community
ModelsOrdinary
meta, the frontier ai lab?
Source: X:Emad Mostaque (@EMostaque)
ModelsOrdinary
meta, the open source leader?
Source: X:Emad Mostaque (@EMostaque)
TutorialsOrdinary
My AI agent built a flight recorder for AI agents, and it flagged itself
Every developer I know now runs an AI coding agent in something like auto-accept mode. Claude Code,...
Source: DEV Community · Claude
PerspectivesOrdinary
Today meta chose war with google. But hey, let them fight it out. That just means development will…
Source: X:Kim (@kimmonismus)
TutorialsOrdinary
Why "tests passed" is the wrong question for an AI coding agent
Your coding agent finishes a task and tells you the tests passed. You accept the report. Later, when...
Source: DEV Community
ModelsOrdinary
The big improvement is on coding and especially long-horizon tasks. Explicitly trained on it actuall…
Source: X:Elvis Saravia (@omarsar0, DAIR.AI)
TutorialsOrdinary
How Does AI Know What's Inside an Image? Meet Vision Language Models
Hello, I'm Rijul, and I'm building LiveReview — a blast-radius aware AI code review built for your...
Source: DEV Community
ModelsOrdinary
Muse Spark 1.3 is rolling out today with frontier performance almost too cheap to meter. This is the…
Source: X:Mark Zuckerberg (@finkd)
TutorialsOrdinary
How to stop your AI from finding new errors on every review
A review protocol that challenges the scheme first, then the code, then stops. Full prompt included.
Source: DEV Community
TutorialsOrdinary
Three registers, three alphabets, no APIs: building pay-per-event actors for company data
I build and sell Reestri, a small catalog of paid Apify actors that answer one kind of question: who...
Source: DEV Community
PerspectivesOrdinary
use any model in grok bot! omnibot maps intents to cursor models once, then routes each ask through…
Source: X:Eric Zakariasson (@ericzakariasson) · Grok / Cursor
ResearchOrdinary
A Common Measure of Communication for Speech Brain-Computer Interfaces
Speech brain-computer interfaces (speech BCIs) translate neural activity into language, offering a path towards restoring speech for people with paralysis and, more broadly, enabling new forms of natural human-computer interaction. Despite…
Source: arXiv
ResearchOrdinary
Discriminative World Models for Web Agents
Recent web agents use world models for test-time action selection by sampling candidate actions, predicting the resulting web states, and ranking them with a ranker model or a Process Reward Model (PRM). These world models are typically tr…
Source: arXiv
ResearchOrdinary
Graph Machine: Towards Better Pretraining via Edges
We introduce the Graph Machine (GM), an architecture that maintains an $O(n)$-sized state and accesses it through sparse, dynamic routing. Unlike methods with fixed-size states or sparse but static routing, GM preserves $O(n)$ complexity i…
Source: arXiv · Qwen
ResearchOrdinary
GRADSOLVE: fast exact gradients for ODE ensembles on GPUs
Ordinary differential equations (ODEs) underlie models in science and engineering, and many applications need derivatives of their solutions with respect to parameters. Ensembles of independent trajectories suit graphics processing units (…
Source: arXiv · NVIDIA
ResearchOrdinary
Towards Trustworthy Autonomous Robots: An Explainable AI-Based Decision Framework
Autonomous robots powered by deep learning face a fundamental auditability challenge: when incidents occur, investigators cannot reconstruct why the system made specific decisions. This paper presents TRACE (Transparent Reasoning Architect…
Source: arXiv
ResearchOrdinary
User Feedback Provides a Unique Signal that LLMs Can not Detect
Harnessing naturally occurring feedback from user interactions offers a promising learning signal for Large Language Models (LLMs). However, recent studies suggest this feedback is inherently noisy and difficult to leverage effectively. We…
Source: arXiv
ResearchOrdinary
Improved Gradient Descent Lower Bounds Beyond Nesterov
We study how far gradient descent (GD) can be accelerated by predetermined stepsizes in smooth convex optimization. Going beyond the classical $Ω(n^{-2})$ first-order oracle lower bound of Nemirovsky and Yudin, we prove an $Ω(n^{-1.6342})$…
Source: arXiv
ResearchOrdinary
The Implications of Linguistic Illegibility for LLM Security
LLMs are trained to generate natural language. However, various strands of evidence indicate that an LLM's externalized linguistic outputs and mechanistically-extracted linguistic features can be an unreliable lens for understanding intern…
Source: arXiv
ResearchOrdinary
Post-Training Language Models for Gold-Medal Performance in Coding Competitions
Competitive programming has become a key test of large language model reasoning, with international competitions such as IOI and ICPC representing its most challenging settings. We present an end-to-end specialization pipeline combining la…
Source: arXiv
ResearchOrdinary
UE5M3 FP4 Block Scaling for Stable Language Model Pretraining
Stable 4-bit floating-point (FP4) pretraining is difficult because the E2M1 payload represents only a narrow range of magnitudes. NVIDIA's Transformer Engine \nv{} recipe addresses this with current-tensor scaling, a randomized Hadamard tr…
Source: arXiv · NVIDIA
ResearchOrdinary
Learning Spectral-Like Mesh-Free Discretisations
Meshfree methods such as smoothed particle hydrodynamics (SPH) with kernel corrections, radial basis function-generated finite differences (RBF-FD), and the local anisotropic basis function method (LABFM) construct discrete differential op…
Source: arXiv