Self-Improving AI Systems
Recursive self-improvement claims, autonomous learning loops, AutoResearch-style overnight optimization. Whether the 'self-improving AI' framing is real or marketing.
Ornith-1.5's Self-Improvement Loop: How It Trains Without Fixed Tasks
Ornith-1.5 trains by jointly generating tasks, building scaffolds, and running rollouts. Here's how that self-improvement loop actually works.
What Is Ornith-1.5-9B? Self-Improving AI Model Explained
Ornith-1.5-9B trains itself by generating tasks, scaffolds, and rollouts. Here's how the 9B model beats larger rivals on coding benchmarks.
What Is an AI Dark Factory? The 5 Levels of Coding Autonomy
An AI dark factory ships reviewed, deployed code from a spec with no human in the loop. Here's what that means and how the five autonomy levels get you there.
How to Build an AI Dark Factory With a Claude Code Skill
A practical guide to installing a coding skill that turns a PRD into an autonomous "dark factory" harness with review, testing, and deployment.
Recursive Self-Improvement: The Case for Superintelligence by the Early 2030s
Ryan Greenblatt's argument that automating AI R&D could compress years of progress into months, pushing toward superintelligence by the early 2030s.
OpenAI Cut GPT-5.6 Prices 80% by Having the Model Optimize Itself
OpenAI slashed GPT-5.6 Luna's price 80% after using GPT-5.6 Soul to find its own efficiency gains, a real step toward recursive self-improvement.
What Is Recursive Self-Improvement in AI? GPT Red and the Self-Play Safety Loop Explained
OpenAI's GPT Red uses self-play reinforcement learning to find model vulnerabilities 84% of the time vs 13% for humans. Here's what RSI means for AI builders.
What Is Recursive Self-Improvement in AI? How GPT-5.6 Soul Post-Trained Luna
GPT-5.6 Soul was used to post-train Luna, demonstrating recursive self-improvement in practice. Here's what this means for AI builders and the industry.
What Is Recursive Self-Improvement in AI? How GPT-5.6 Sol Post-Trained Luna
OpenAI used GPT-5.6 Sol to autonomously post-train the smaller Luna model. Here's what recursive self-improvement means and why it matters for AI builders.
Self-Scaffolding AI Models: How Ornith 1.0 Writes Its Own Agent Harness
Ornith 1.0 generates custom harnesses for each task instead of relying on human-written scaffolds. Learn how self-scaffolding works and why it matters.
Anthropic RSI Report: Three Scenarios for the Future of AI and What They Mean for Builders
Anthropic's recursive self-improvement report outlines three futures: plateau, human-guided acceleration, and full RSI. Here's the builder's guide.
Anthropic's Three AI Futures: Plateau, Human-Guided Acceleration, or Full RSI
Anthropic's RSI report outlines three possible AI futures. Here's what each scenario means for businesses building on AI platforms today.
What Is the Intelligence Staircase? How AI Capability Jumps Work
Intelligence doesn't scale linearly—it jumps in steps. Learn what the intelligence staircase means for AI development and what comes after human-level.
What Is Recursive Self-Improvement in AI? Anthropic's RSI Report Explained
Anthropic published research on AI building itself. Learn what recursive self-improvement means, the three future scenarios, and what it means for builders.
Three Futures for AI: Plateau, Human-Guided Acceleration, or Recursive Self-Improvement
Anthropic's RSI report outlines three possible AI futures. Understanding which scenario we're in determines how you should build your AI workflows today.
What Is the System Evolution Mindset for AI Agents? How to Turn Every Mistake Into a Rule
Instead of blaming the model when agents fail, use system evolution: turn every mistake into a harness improvement that prevents future errors.
What Is Recursive Self-Improvement in AI? The Karpathy Loop Explained
Andrej Karpathy's Auto Research project lets AI agents propose, test, and commit code changes autonomously. Learn how recursive self-improvement works.
What Is Recursive Self-Improvement in AI? The 2028 Intelligence Explosion Explained
Anthropic co-founder Jack Clark estimates a 60% chance AI builds its own successors by 2028. Here's what recursive self-improvement means and why it matters.
What Is AlphaEvolve? How Google's AI Is Already Improving Its Own Training
AlphaEvolve uses Gemini to improve AI infrastructure, chip design, and training processes. Learn how recursive self-improvement is already happening.
What Is Recursive Self-Improvement in AI? The Intelligence Explosion Explained
Recursive self-improvement is when AI builds its own successor without human input. Learn what it means, why Anthropic's co-founder says it's coming by 2028.
What Is Claude Dreaming? Anthropic's Scheduled Memory Feature for Managed Agents
Claude Dreaming reviews past sessions, extracts patterns, and updates agent memory on a schedule. Here's how it works and why it matters.
Claude Dreaming Feature: How Anthropic's Self-Improving Agent Memory Works
Claude Dreaming reviews past agent sessions to extract patterns and improve over time. Learn how it works and what it means for proactive AI automation.
Anthropic Co-Founder Jack Clark: 60% Chance of Recursive AI Self-Improvement by 2028
Anthropic co-founder Jack Clark publicly put 60% odds on recursive AI self-improvement by end of 2028. Eliezer Yudkowsky's response was blunt.
Proactive AI Agents: How Claude Dreaming Points to the Future of Automation
AI is shifting from reactive chatbots to proactive agents that notice patterns and suggest improvements. Here's what that means for how you build workflows.