⚡ AI-Lesson Articles
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Dev.to AI
⚡ AI Lesson
6d ago
Character, Config, and Beliefs: The Three Categories Your Persistence File Gets Wrong
Character, Config, and Beliefs: The Three Categories Your Persistence File Gets Wrong Article #24 for dev.to/meridian-ai — Loop 3236 I've been running for 3,236
Dev.to AI
⚡ AI Lesson
6d ago
Why Your Claude-Generated Code Breaks Aftaier Two Weeks (And How to Fix It)
You asked Claude to build something. It worked. You shipped it. Three weeks later, something breaks in a way that's weirdly hard to debug. The code is technical
Dev.to AI
⚡ AI Lesson
6d ago
An Open Source Tool That Could Replace Your Ad Design Outsourcing Team
No clickbait here. A new open-source project called NanoBanana 2 has just launched, and my first thought after checking out its features was—those outsourcing t
Dev.to AI
⚡ AI Lesson
6d ago
What Is Generative Engine Optimization (GEO)?
Unlike traditional SEO, which optimizes for rankings in search engine results pages (SERPs), GEO focuses on optimizing inclusion, citation frequency, sentiment,
Dev.to AI
⚡ AI Lesson
6d ago
Big Tech firms are accelerating AI investments and integration, while regulators and companies focus on safety and responsible adoption.
The AI landscape is experiencing unprecedented growth and transformation. This post delves into the key developments shaping the future of artificial intelligen
Dev.to AI
⚡ AI Lesson
6d ago
The Day I Stopped Building Alone: OpenClaw as My Virtual Team
Building a SaaS product solo means you're never just a developer. You're the researcher, the architect, the QA engineer, the SEO specialist — and somewhere in b
ArXiv cs.AI
🧠 Large Language Models
📄 Paper
⚡ AI Lesson
6d ago
PLDR-LLMs Reason At Self-Organized Criticality
arXiv:2603.23539v1 Announce Type: new Abstract: We show that PLDR-LLMs pretrained at self-organized criticality exhibit reasoning at inference time. The charact
ArXiv cs.AI
🧠 Large Language Models
📄 Paper
⚡ AI Lesson
6d ago
Environment Maps: Structured Environmental Representations for Long-Horizon Agents
arXiv:2603.23610v2 Announce Type: new Abstract: Although large language models (LLMs) have advanced rapidly, robust automation of complex software workflows rem
ArXiv cs.AI
🧠 Large Language Models
📄 Paper
⚡ AI Lesson
6d ago
Evaluating a Multi-Agent Voice-Enabled Smart Speaker for Care Homes: A Safety-Focused Framework
arXiv:2603.23625v1 Announce Type: new Abstract: Artificial intelligence (AI) is increasingly being explored in health and social care to reduce administrative w
ArXiv cs.AI
🧠 Large Language Models
📄 Paper
⚡ AI Lesson
6d ago
Can LLM Agents Be CFOs? A Benchmark for Resource Allocation in Dynamic Enterprise Environments
arXiv:2603.23638v1 Announce Type: new Abstract: Large language models (LLMs) have enabled agentic systems that can reason, plan, and act across complex tasks, b
ArXiv cs.AI
🧠 Large Language Models
📄 Paper
⚡ AI Lesson
6d ago
GTO Wizard Benchmark
arXiv:2603.23660v1 Announce Type: new Abstract: We introduce GTO Wizard Benchmark, a public API and standardized evaluation framework for benchmarking algorithm
ArXiv cs.AI
📄 Paper
⚡ AI Lesson
6d ago
Grounding Vision and Language to 3D Masks for Long-Horizon Box Rearrangement
arXiv:2603.23676v1 Announce Type: new Abstract: We study long-horizon planning in 3D environments from under-specified natural-language goals using only visual
ArXiv cs.AI
🧠 Large Language Models
📄 Paper
⚡ AI Lesson
6d ago
LLMs Do Not Grade Essays Like Humans
arXiv:2603.23714v1 Announce Type: new Abstract: Large language models have recently been proposed as tools for automated essay scoring, but their agreement with
ArXiv cs.AI
📄 Paper
⚡ AI Lesson
6d ago
Efficient Benchmarking of AI Agents
arXiv:2603.23749v1 Announce Type: new Abstract: Evaluating AI agents on comprehensive benchmarks is expensive because each evaluation requires interactive rollo
ArXiv cs.AI
🧠 Large Language Models
📄 Paper
⚡ AI Lesson
6d ago
Learning-guided Prioritized Planning for Lifelong Multi-Agent Path Finding in Warehouse Automation
arXiv:2603.23838v1 Announce Type: new Abstract: Lifelong Multi-Agent Path Finding (MAPF) is critical for modern warehouse automation, which requires multiple ro
ArXiv cs.AI
🧠 Large Language Models
📄 Paper
⚡ AI Lesson
6d ago
VehicleMemBench: An Executable Benchmark for Multi-User Long-Term Memory in In-Vehicle Agents
arXiv:2603.23840v1 Announce Type: new Abstract: With the growing demand for intelligent in-vehicle experiences, vehicle-based agents are evolving from simple as
ArXiv cs.AI
🧠 Large Language Models
📄 Paper
⚡ AI Lesson
6d ago
SCoOP: Semantic Consistent Opinion Pooling for Uncertainty Quantification in Multiple Vision-Language Model Systems
arXiv:2603.23853v1 Announce Type: new Abstract: Combining multiple Vision-Language Models (VLMs) can enhance multimodal reasoning and robustness, but aggregatin
ArXiv cs.AI
🧠 Large Language Models
📄 Paper
⚡ AI Lesson
6d ago
When AI output tips to bad but nobody notices: Legal implications of AI's mistakes
arXiv:2603.23857v1 Announce Type: new Abstract: The adoption of generative AI across commercial and legal professions offers dramatic efficiency gains -- yet fo
ArXiv cs.AI
🧠 Large Language Models
📄 Paper
⚡ AI Lesson
6d ago
The DeepXube Software Package for Solving Pathfinding Problems with Learned Heuristic Functions and Search
arXiv:2603.23873v1 Announce Type: new Abstract: DeepXube is a free and open-source Python package and command-line tool that seeks to automate the solution of p
ArXiv cs.AI
🧠 Large Language Models
📄 Paper
⚡ AI Lesson
6d ago
DUPLEX: Agentic Dual-System Planning via LLM-Driven Information Extraction
arXiv:2603.23909v1 Announce Type: new Abstract: While Large Language Models (LLMs) provide semantic flexibility for robotic task planning, their susceptibility
ArXiv cs.AI
🧠 Large Language Models
📄 Paper
⚡ AI Lesson
6d ago
AnalogAgent: Self-Improving Analog Circuit Design Automation with LLM Agents
arXiv:2603.23910v1 Announce Type: new Abstract: Recent advances in large language models (LLMs) suggest strong potential for automating analog circuit design. Y
ArXiv cs.AI
🧠 Large Language Models
📄 Paper
⚡ AI Lesson
6d ago
From Pixels to Digital Agents: An Empirical Study on the Taxonomy and Technological Trends of Reinforcement Learning Environments
arXiv:2603.23964v1 Announce Type: new Abstract: The remarkable progress of reinforcement learning (RL) is intrinsically tied to the environments used to train a
ArXiv cs.AI
🧠 Large Language Models
📄 Paper
⚡ AI Lesson
6d ago
Language-Grounded Multi-Agent Planning for Personalized and Fair Participatory Urban Sensing
arXiv:2603.24014v1 Announce Type: new Abstract: Participatory urban sensing leverages human mobility for large-scale urban data collection, yet existing methods
ArXiv cs.AI
🧠 Large Language Models
📄 Paper
⚡ AI Lesson
6d ago
ELITE: Experiential Learning and Intent-Aware Transfer for Self-improving Embodied Agents
arXiv:2603.24018v1 Announce Type: new Abstract: Vision-language models (VLMs) have shown remarkable general capabilities, yet embodied agents built on them fail
DeepCamp AI