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A visualization that shows how 8 different LLMs reason through a tricky probability question, with branches representing moments of self-correction like 'But, wait...'.
User iamai_omni praises Fable 5's self-correction ability, considering it comparable to ASI. Citing a recommendation from yibie, they point out that the Superpowers author had Fable 5 run an autoresearch loop, spending $165 to complete 25 experiments, increasing build speed by 50% and reducing token overhead by 60%, and documented failures and correction processes in detail.
A practical technique for improving structured output generation from LLMs by feeding validation errors back into retry prompts, allowing the model to self-correct rather than blindly retrying. The method involves describing the error in model-friendly terms and providing the previous output for editing.
New paper proposes a meta-agent that monitors AI agents and corrects their mistakes, achieving ~2x more task completion autonomously.
OpenClaw self-corrected a timezone error and avoided incorrectly applying a recurring rule while consolidating family calendar data into an ICS file, demonstrating effective self-critique and privacy handling.
FlowBender is a closed-loop framework that improves constraint satisfaction in diffusion and flow models by training networks to correct alignment errors using inference-time feedback, outperforming traditional supervised and guidance-based approaches.
Introduces the five key elements of Loop Engineering: Goal Definition, Iteration Loop, State Management, Verification Mechanism, and Self-correction, designed to achieve continuous improvement through automated AI agent loops.
Fable 5 discusses the use of AI Agents, emphasizing that designing an environment where the model can self-correct is more effective than direct prompting, as validated by Anthropic engineers through two experiments.
An experiment with a local governance harness for AI coding agents shows that when the agent's own governance record is surfaced in its context, the agent begins to self-correct by following policies and asking for intent declarations, without hard enforcement.
The author claims AI coding agents no longer make mistakes, as they self-correct with linting and chain-of-thought, and asks if others agree.
Pro Workflow is a plugin for Claude Code and Cursor that adds self-correcting memory and persistent wikis using SQLite, allowing the AI to learn from corrections and build knowledge across sessions.