LAST SIGNAL
bolt Featured Article
Confident Hallucinations in Small Language Models: Why They Happen and Why Bigger Models Do It Less
An exploration of the mechanics behind confident hallucinations in smaller language models and the reasons larger models tend to be more reliable.
LATEST ENTRIES
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How AI Coding Agents Actually Work: From Prompt to Execution
A technical deep dive into how AI coding agents translate prompts into plans, tools, code changes, and verified results—covering architectures, runtimes, and common failure modes.
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Education in the AI Era: Rethinking School Beyond the Industrial Model
A deep examination of how traditional education was built, why it struggles today, and how learning can be redesigned for an AI-shaped world.
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Why “Alien-Mind” Superintelligence Isn’t Required to Transform the World
How modest capability advantages, multiplied by scale, coordination, and iteration speed, can produce civilization-level change.
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Prompt Decomposition: How Breaking Work Into Smaller Prompts Improves Outcomes—and Where It Fails
An in-depth look at decomposing prompts for large tasks, the real benefits and trade-offs, and how automation turns decomposition into reliable workflows.
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Testing and Code Quality for Orchestrated AI Agent Web Systems: Workflow and Validation Layers
A practical deep dive into how to design, test, and validate web applications powered by orchestrated AI agents, with layered quality gates and reliable workflows.
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How Far Are We from AGI and Superintelligence?
A grounded look at current AI capabilities, what major labs are signaling, and what’s still missing to reach AGI or superintelligence.