AI Intelligence Archive
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TutorialsOrdinary
Grass Gate: my feeds only unlock after an open-weight model sees me outside
This is a submission for the Hacktoberfest Open-Source AI Challenge Week 1: Touch Grass ...
Source: DEV Community
TutorialsOrdinary
Llama Village: a virtual world powered by local AI with llamadart
Llama Village in motion. The characters’ dialogue is generated by an on-device model. Watch the...
Source: DEV Community · Llama
TutorialsOrdinary
Your Self-Hosted AI Assistant Keeps Forgetting You. Here Is How We Measured a Fix.
Your self-hosted AI assistant keeps forgetting you. Here is how we measured a fix. Every...
Source: DEV Community
TutorialsOrdinary
My support chatbot scored 0.92. It was also lying to customers.
Twelve of my thirteen test prompts scored a perfect 1.00. Two independent evaluation runs agreed:...
Source: DEV Community
TutorialsOrdinary
AI Coding Tools Are Great Until the Only Test Is a Device in Someone's Hand
Most "how I use AI coding tools" posts come from someone who lives in one web framework all day. That...
Source: DEV Community
TutorialsOrdinary
AI Models Have a Spine Until You Give Them a Manager
Frontier models shrug off a confident liar and even a fake majority, then fold the moment a senior reviewer pulls rank. A benchmark on who caves to authority and who keeps their answer.
Source: DEV Community
TutorialsOrdinary
Benchmarking LLMs on ETL Logic Synthesis: Can AI Truly Replace Data Pipeline Scripting?
A custom benchmark evaluating modern LLMs on translating visual Knime/ETL logic into idiomatic, vectorized Python code with strict edge-case verification.
Source: DEV Community
TutorialsOrdinary
TerraQuest: Put the Phone in Your Pocket, Let an Open-Weight Model Name the Animals and Plan
This is a submission for the Hacktoberfest Open-Source AI Challenge Week 1: Touch Grass ...
Source: DEV Community
TutorialsOrdinary
Google Requires Manual Fact-Checking for AI Content Before Website Publication
Google has updated its guidance for using generative AI content on websites, making manual...
Source: DEV Community
TutorialsOrdinary
Offline Adventures - lets start journey with AI
This is a submission for the Hacktoberfest Open-Source AI Challenge Week 1: Touch Grass ...
Source: DEV Community
TutorialsOrdinary
Study of 9 Million AI Answers Challenges the Link Between Sentiment and Citations
Positive brand sentiment may be valuable for customer trust, but it is not a dependable shortcut to...
Source: DEV Community
TutorialsOrdinary
TouchGrass: The Open-AI Agent That Succeeds When You Stop Using It
This is a submission for the Hacktoberfest Open-Source AI Challenge Week 1: Touch Grass ...
Source: DEV Community
TutorialsOrdinary
Running 15 Claude Code Sessions at Once
TL;DR: Ten or more parallel Claude Code sessions work if you treat them as a small distributed...
Source: DEV Community · Claude
TutorialsOrdinary
GroundSignal — The Sidewalk Told on Itself
This is a submission for the Hacktoberfest Open-Source AI Challenge Week 1: Touch Grass ...
Source: DEV Community
TutorialsOrdinary
I got Jev to zero mistakes. I'm still using Flash-Lite.
Jev is a brilliant decision model. Gemini Flash-Lite is the model nobody talks about, and it’s fast,...
Source: DEV Community · Gemini
TutorialsOrdinary
The future, after AI
I've been using AI coding tools for a while now, and the progress is honestly insane. Something that...
Source: DEV Community
ProductsOrdinary
GPT-6.1 Sol Ultrafast 上线 OpenRouter
Sol Ultrafast 已在 OpenRouter 上线! https://openrouter.ai/openai/gpt-6.1-sol
Source: X:OpenRouter (@OpenRouter) · OpenAI / GPT
TutorialsOrdinary
Bedrock and LangChain disagree on what input_tokens means — never price it without knowing who counted
I was adding cache-read and cache-write columns to a usage ledger, and I put two usage payloads side...
Source: DEV Community
TutorialsOrdinary
Meta Muse and MCP Security: When Trusted AI Tools Become the Attack Surface
The most dangerous AI attack may not break the model. It may simply convince the AI to use a trusted...
Source: DEV Community
TutorialsOrdinary
MCP Servers Are a New Attack Surface, and Most Teams Are Not Looking
Over the last year, the Model Context Protocol (MCP) has become the default way to connect an AI...
Source: DEV Community
TutorialsOrdinary
A PSD carries Photoshop's answer key. The UI has none.
This week I wrote a Photoshop file by hand. 390 bytes, two gray layers, the top one set to Soft...
Source: DEV Community
ResearchOrdinary
A Balanced Data Diet: Addressing the Exploration Bottleneck in Mega-Scale RL for Robot Control
General-purpose robots must perform a wide range of tasks from agile locomotion to dexterous manipulation. While sim-to-real reinforcement learning (RL) has proven to be a useful tool for this goal, current RL pipelines depend on engineeri…
Source: arXiv
ResearchOrdinary
On the estimation and validity of AI time horizons---a statistical look at the METR plot
METR's 50\% time horizon measures the human completion time of software tasks that an AI solves with 50\% probability, allowing AI capabilities to be expressed in interpretable units. On 228 tasks and 26 AIs, we recompute the time horizons…
Source: arXiv
ResearchOrdinary
CSF: Contextual Safety Filtering for Motion Generators
Text-conditioned motion generators produce trackable whole-body motion, but they have no notion of scene-dependent safety: the same action may target an object or a person. Existing safeguards either inspect the prompt, require labeled mot…
Source: arXiv
ResearchOrdinary
From Reactive Containment to Proactive Assurance: Lessons from OpenAI, Anthropic, and Google Agent Security Incidents
In 2026, cybersecurity evaluations involving OpenAI, Anthropic, and Google agents reached real systems outside their authorized test scope. The paths were different. OpenAI agents exploited research infrastructure, coordinated across runs,…
Source: arXiv · OpenAI / Claude / Gemini
ResearchOrdinary
BrickBench: Evaluating Agentic Brick Design
We propose BrickBench, a benchmark for agentic text-conditioned LEGO-set design. Given a prompt, an agent is tasked with producing an assembly that not only satisfies semantic and design criteria, but that can also be physically built. To …
Source: arXiv
ResearchOrdinary
One Block, Multiple Depths: Recurrent Vision Transformers with Depth-Programmed Experts
In this work, we show that a single Transformer block, applied recurrently, can match the accuracy of a full-depth vision encoder at comparable inference FLOPs without intermediate feature distillation. reViT restores depth-specific transf…
Source: arXiv
ResearchOrdinary
Bi-FORK: Generative Modeling of High-Dimensional Bifurcating Systems
Bifurcations are ubiquitous in physical systems, from structural buckling to fluid and climate dynamics, yet they remain largely unexplored in deep learning. At a symmetry-breaking bifurcation, a single input admits multiple equally valid …
Source: arXiv
ResearchOrdinary
Caught in the Act: Probes Effectively Detect Sabotage and Catch Unverbalized Deception
Recent incidents have highlighted the challenge of monitoring LLM agents and the danger of models deceiving people. We show that white-box deception detection via probes can be scaled up to frontier monitoring settings by collecting the la…
Source: arXiv
ResearchOrdinary
Rounding in Preconditioner Space: Redesigning 4-bit AdamW Optimizer-State Quantization
Quantizing AdamW's optimizer states reduces persistent storage, but quantization errors propagate through the moment recurrences and perturb subsequent adaptive updates. We redesign 4-bit optimizer-state quantization for AdamW from the per…
Source: arXiv · GPT / Llama
TutorialsOrdinary
Elsewhere: Don't Remind Me. Give Me a Reason.
This is a submission for the Hacktoberfest Open-Source AI Challenge Week 1: Touch Grass ...
Source: DEV Community
ResearchOrdinary
Density Ratio Estimation with Stein Displacement Fields
Density ratios quantify distribution shift from a probability-mass point of view, whereas displacement fields describe, from a dynamical point of view, how one distribution is transported onto another. Although both offer complementary ins…
Source: arXiv
ResearchOrdinary
Ecology of AI Agents: Collaboration Creates a Population Threshold for Takeoff
AI agents can now conduct real-world cyberattacks, scale up capabilities with the number of agents, and collectively pursue misaligned goals to obtain rewards. Together, these factors raise the risk of a population explosion of misaligned …
Source: arXiv
ResearchOrdinary
VioLA: Learning Generalist Humanoid Control Policies from Human Data
Teaching a humanoid to follow instructions with its whole body runs into two obstacles. Its action space is large and tightly coupled: legs, arms, and fingers must move together while the robot keeps its balance, which makes joint-level ac…
Source: arXiv
ResearchOrdinary
FAITH: Feasibility-Aware Safety-Filtered RL for High-Dimensional Systems
Safe reinforcement learning commonly places safety and task performance in the same policy objective, where they can introduce competing updates. Safety filters separate them at action execution, but classical designs require an analytic s…
Source: arXiv
ResearchOrdinary
Toward Joint Optimization of Circuit Depth and Training Data Size in Adaptively Grown Quantum Classifiers
Building a quantum model involves a tradeoff: how complex the circuit should be, and how much training data it needs. Caro et al. show that models with fewer trainable gates need less training data to generalize well. Q-FLAIR shows that a …
Source: arXiv
ResearchOrdinary
FastBench: Can Streaming VLMs Perceive High-Dynamic Real-World Streams?
Streaming Video Large Language Models (VLMs) enable continuous video understanding, yet existing benchmarks focus on low-dynamic scenarios. Under bounded context budgets, models must balance temporal history, spatial resolution, and tempor…
Source: arXiv · Qwen / Gemini
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RoboRSI: Stable, efficient, and reusable robot self-evolution in complex real-world environments
A generalist robot should not only perform diverse tasks but also improve through experience, turning what it learns during execution into capabilities that later tasks can reuse. Robot agents that act through code can already repair progr…
Source: arXiv
ResearchOrdinary
Beyond Spatio-Temporal Priors: A Generalizable Approach for Dense Correspondence Matching
Dense correspondence matching has historically been bounded by simplifying spatio-temporal priors, such as smooth motion and rigid geometry. While effective for classical tasks, these assumptions break down in image editing and reference-g…
Source: arXiv
ResearchOrdinary
A Unified Bellman Operator for Safety-Critical Reinforcement Learning
Reinforcement learning in safety-critical domains requires maximizing task performance while strictly adhering to safety constraints. Existing safe reinforcement learning paradigms typically force a trade-off: they either require a priori …
Source: arXiv