Agents

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Discover how the ADHD AI skill employs divergent and convergent thinking to generate innovative solutions for complex design, naming, and debugging tasks.

What is ADHD and How to Use This AI Skill for Broad Ideation

Explore ADHD, an AI skill designed to prevent cognitive anchoring by forcing broad ideation through parallel cognitive frames. Learn its two-phase process (Diverge, Focus), installation methods, and practical usage examples for open-ended problems in design and coding.

Learn how OpenTeam transforms your AI accounts into a local multi-agent discussion room for enhanced productivity and creative problem-solving.

What is OpenTeam and How to Get Started?

Discover OpenTeam, a Manifest V3 Chrome extension that reuses your existing AI sessions (ChatGPT, Claude, Gemini, etc.) for multi-agent discussions. Explore its features like instant model comparison, collaborative modes, advisor personas, and local-first storage. Learn how to install it from source and set up CLI control for programmatic interaction.

Discover GSD Pi, a command-line interface (CLI) agent that streamlines the entire software development lifecycle, from planning to implementation and verification, all from your local machine.

What is GSD Pi? A Local-First AI Coding Agent for Terminal Users

Learn about GSD Pi, a local-first AI coding agent that operates from your terminal. This article explains its features, how to get started, and practical usage for managing your project lifecycle with milestones, coding sessions, and built-in verification, keeping all state on your machine.

Explore the technical innovations, ethical considerations, and practical applications of uncensored large language models, focusing on a community-driven variant of Qwen3.5.

Understanding Uncensored LLMs: A Deep Dive into Qwen3.5-35B-A3B-Heretic-V2

Learn about the architecture and capabilities of uncensored language models, specifically Qwen3.5-35B-A3B-Heretic-V2. Discover how multi-token prediction and various quantization formats enhance performance and accessibility, while understanding the implications of removing safety filters for research and development.

Discover how agentic AI, local execution, and Mixture of Experts (MoE) architectures like Qwen3.6 35B A3B are making powerful AI accessible on consumer hardware.

How Agentic AI and MoE Models Are Revolutionizing Local AI

Explore the shift from passive to active AI with agentic models, the benefits of local execution for privacy, latency, and cost, and how MoE architectures like Qwen3.6 35B A3B overcome parameter puzzles to deliver large-scale intelligence on modest machines. Understand the future of AI that thinks big but fits small.

A former mechanical engineer leveraged AI to overhaul RV interiors, optimize marketing, and manage ADHD, achieving zero customer failures across a fleet, including annual Burning Man deployments.

ADHD Entrepreneur Uses Claude AI to Redesign 20-Unit RV Fleet, Boost Efficiency

Discover how an entrepreneur with ADHD transformed their 20-unit RV rental business using Claude AI for fleet redesigns, material sourcing, and operational efficiency. This innovative approach led to a high-quality remodel and maintained a perfect customer satisfaction record, even after rigorous use at Burning Man.

Native editing, not generation, is the silent revolution that just left the prompt-to-pixel circus behind.

You’ve Been Lied To About Video AI’s Real Breakthrough

The AI world is obsessed with generating video from scratch, but the true frontier is native editing through conversation. Gemini Omni’s ability to surgically alter existing footage without re-rendering shatters the old pipeline approach, even as token costs threaten to gatekeep the revolution.

A Deep Dive into the Multi-Stream, Dual-Model Architecture Powering Next-Generation Interactive AI Systems

Inside TML's Real-Time AI: Redefining Human-AI Collaboration

Explore how Thinking Machines Lab (TML) is overcoming AI's collaboration bottleneck with a novel multi-stream, micro-turn design and a dual-model architecture. Learn about TML-Interaction-Small, its real-time performance, and how it enables seamless human-AI interaction.

New Gemini 3.5 Flash delivers frontier intelligence for agents and coding; AI Mode in Search passes 1 billion users with major updates; Gemini Omni introduces multimodal video creation.

Google Unveils Gemini 3.5 Flash, AI Search Overhaul, and Multimodal Video Generation

Google announces significant advancements across its AI ecosystem, including the launch of Gemini 3.5 Flash, a powerful and free model optimized for agents and coding. AI Mode in Search gets a major overhaul, now powered by Gemini 3.5 Flash and reaching over 1 billion users. Additionally, Gemini Omni introduces groundbreaking multimodal video generation capabilities, while Antigravity 2.0 provides an agent-first platform for parallel workflows.

Models are no longer bounded by single-call context windows; SkyRL's infrastructure enables execution-driven meta-reasoning via stateful child agents.

The Recursion Ceiling is a Myth: NovaSky Unleashes Recursive Language Models

Discover how NovaSky's SkyRL framework shatters the limitations of large language models. By spawning recursive child agents within persistent Python sandboxes, models can now reason in multi-turn, multi-agent trees, redefining what "thinking" means for AI.

Subterranean compilation eliminates the orchestrator at runtime, slashing costs and latency while matching frontier accuracy.

How to Compile Multi-Step AI Workflows Directly into Small Models

Discover how synthetic data and full-parameter fine-tuning can internalize complex procedures in a small LLM, removing the need for external orchestration and delivering dramatic cost savings.

A systematic study reveals 'constraint decay' as agents lose 30 points in assertion pass rates when facing production-grade requirements across eight web frameworks.

Why LLM Agents Fail at Structural Constraints in Backend Code

Learn how LLM agents fail to maintain structural constraints like ORM and architectural patterns in multi-file backend generation. This paper identifies constraint decay, framework sensitivity, and data-layer defects as key challenges for autonomous coding.